diff --git a/.gitignore b/.gitignore index d39b7be..16912d9 100644 --- a/.gitignore +++ b/.gitignore @@ -24,3 +24,10 @@ go.work.sum # env file .env .qodo + +# Website (Docusaurus) +website/node_modules/ +website/.docusaurus/ +website/.cache-loader/ +website/build/ +website/.DS_Store diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 0000000..e69de29 diff --git "a/2025/11. GitHub PR \345\220\210\345\271\266\344\270\211\351\200\211\344\270\200\357\274\232\344\270\273\345\210\206\346\224\257\350\257\245\346\200\216\344\271\210\351\200\211\357\274\237/github-pr-merge.md" "b/2025/11. GitHub PR \345\220\210\345\271\266\344\270\211\351\200\211\344\270\200\357\274\232\344\270\273\345\210\206\346\224\257\350\257\245\346\200\216\344\271\210\351\200\211\357\274\237/github-pr-merge.md" deleted file mode 100644 index dfbda49..0000000 --- "a/2025/11. GitHub PR \345\220\210\345\271\266\344\270\211\351\200\211\344\270\200\357\274\232\344\270\273\345\210\206\346\224\257\350\257\245\346\200\216\344\271\210\351\200\211\357\274\237/github-pr-merge.md" +++ /dev/null @@ -1,119 +0,0 @@ -# GitHub PR 合并三选一：主分支该怎么选？ - -> ![GitHub PR merge menu](github-pr-merge-menu.png) -> -> 在每个 PR 的底部，GitHub 都会给出三个合并选择。大多数开发者会习惯性地点击默认选项，但这个看似简单的决定却深刻影响着项目历史。 -> -> 今天我们来聊聊：为什么这个选择如此重要，以及为什么我坚持只用其中的一个。 - -## TL;DR - -**对指向主分支的 PR，一律选择 `Squash and merge`。** - -配合 [rulesets](https://docs.github.com/en/repositories/configuring-branches-and-merges-in-your-repository/managing-rulesets/about-rulesets) 开启 [`Require linear history`](https://docs.github.com/en/repositories/configuring-branches-and-merges-in-your-repository/managing-rulesets/available-rules-for-rulesets#require-linear-history)，把线性历史与回滚边界制度化，从源头避免误操作。 - -## 核心原则：one PR, one commit - -**一个 PR 最终只对应主分支上的一个 commit。** - -PR 内部发生的多个 commits 都是开发阶段的中间态。历史被合并进主分支的那一刻，维护者更关心“结果”，也就是合并时那个版本的变更。需要更细的过程与讨论，可以通过 commit message 中的 PR 链接进入 PR 页面回看所有细节。 - -这个原则与 GitHub 的 `Squash and merge` 天然契合：一件事，一个节点，边界清晰。 - -## 三种方式全面对比 - -| 维度 | Create a merge commit | Rebase and merge | Squash and merge | -|------|-----------------------|------------------|------------------| -| **历史结构** | 产生 merge commit，主分支出现分叉 | 把 PR 的每个 commit 接到主分支，历史线性 | 把整个 PR 压成一个 commit 进入主分支，历史线性 | -| **协作影响** | 图谱更杂，阅读与 bisect 成本上升 | 改写 commit hashes，评论锚点与外部引用容易受影响 | 主分支整洁，release notes 更直观，审计与回滚成本更低 | -| **代码审计** | 需要追踪分支拓扑，复杂度高 | Commit hash 变化影响引用 | 线性历史，一目了然 | -| **版本回滚** | `git revert -m` 回滚合并节点，语义复杂 | 可逐条或成组回滚 | `git revert ` 一键整块撤回 | -| **Git bisect** | 在合并点容易困惑 | 可能命中中间态 | 每个 commit 都是完整功能态 | -| **生成 changelog** | 混合修修补补的小 commits | 同样包含中间 commits | 直接基于 PR 生成，语义清晰 | - -**本文主张**：主分支只接受 `Squash and merge`。 - -## 为什么选择 `Squash and merge` - -基于上面的对比分析，`Squash and merge` 的核心优势在于： -- **历史整洁**：线性历史，加上一个 PR 一个 commit，主分支成为清晰的时间轴 -- **操作简单**：回滚用 `git revert `，发布用 PR 生成 changelog，边界明确 -- **协作友好**：避免已存在 commit 的 hash 被重写，保持评论和审计完整性 - -这些优势让 `Squash and merge` 成为团队协作的最佳选择。 - -## 潜在担忧与应对 - -### 信息粒度损失 - -Squash 会丢失分支内的细粒度 commits。 - -**解决方案**：在合并对话框里写好一条高质量的 commit message，正文包含动机、设计取舍、风险与兼容性影响、迁移指引，并保留 `Co-authored-by`。细粒度历史保存在 PR 页面，随时可溯源。 - -### 复杂功能的开发过程追踪 - -对于包含多个开发阶段的复杂功能，有些团队希望保留详细的开发轨迹。 - -**解决方案**：建议将复杂功能拆分成多个独立 PR。如需保留内部开发结构，可在长期功能分支或发布分支间使用 merge commit，主分支仍用 squash 保持整洁。 - -## 配置指南 - -### 个人项目配置 - -如果是项目 owner，可以直接在仓库设置中限制合并方式： -1. 进入仓库的 `Settings -> General -> Pull Requests` -2. 勾选 `Allow squash merging` -3. 取消 `Allow merge commits` -4. 取消 `Allow rebase merging` - -### 团队项目强制约束 - -对于团队协作，建议使用 rulesets 进行强制约束： -1. **创建分支保护规则** - - 进入仓库的 `Settings -> Rules -> Rulesets -> New branch ruleset` - - 勾选 `Require linear history` 强制线性历史 -2. **应用到目标分支** - - 将创建的规则应用到主分支或使用匹配模式覆盖多个分支 - -### Commit message 编写规范 - -- **标题**：使用 PR 标题，简洁描述变更内容 -- **正文**：详细说明变更动机、技术方案、潜在风险和迁移指引 -- **溯源信息**：保留 PR 链接和 `Co-authored-by` 列表，便于追溯 -- **格式约定**：如团队使用 [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/)，请遵循相应格式 - -### 问题回滚方案 - -- **图形界面**：在 PR 页面点击 `Revert` 按钮，自动生成回滚 PR -- **命令行操作**：执行 `git revert `，然后创建新 PR 提交回滚 - -## 常见问题与解决方案 - -### Q：为什么不选择同样线性的 `Rebase and merge`？ - -**A**：Rebase 会在合并时改写 commit hashes，容易打断评论锚点、外部引用和审计链。将 rebase 的复杂性留在分支阶段更稳妥，主分支只接受最终结果。 - -### Q：`Squash and merge` 会丢失贡献者信息吗？ - -**A**：不会。在合并对话框中使用 `Co-authored-by` 即可保留所有贡献者信息，PR 页面也会完整保存讨论记录和检查结果。 - -### Q：现有项目已有很多 merge commits，如何迁移？ - -**A**：新规则只影响未来的 commits。建议先为主分支启用 ruleset，在新 PR 中采用 squash，不要重写已有历史以免影响协作。 - -### Q：团队成员习惯了 `Create a merge commit`，怎么推动改变？ - -**A**：建议分步推进： -1. 分享线性历史的好处和实际案例 -2. 先在新项目中试验 squash-only 策略 -3. 为现有项目设定一个切换时间点，提前通知所有成员 - -## 今天就行动起来 - -**主分支是团队的时间轴，让它保持清晰。** - -复杂的开发过程留在分支中讨论，最终的成果用一个明确的 commit 记录在主分支上。这不仅是技术规范，更是对未来维护者的尊重。 - -现在就打开你的项目设置页面，将合并方式调整为 squash-only，你的团队（和未来的自己）会感谢你。 - -**记住：one PR, one commit. Keep master clean.** diff --git "a/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/image1.png" "b/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/image1.png" deleted file mode 100644 index 7f30f3e..0000000 Binary files "a/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/image1.png" and /dev/null differ diff --git "a/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/image2.png" "b/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/image2.png" deleted file mode 100644 index 792d15a..0000000 Binary files "a/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/image2.png" and /dev/null differ diff --git "a/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/\345\256\236\350\256\255\346\204\237\346\202\237.md" "b/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/\345\256\236\350\256\255\346\204\237\346\202\237.md" deleted file mode 100644 index 7fe549d..0000000 --- "a/2025/18.X\347\273\230\345\233\276-\346\210\221\344\273\254\346\230\257\345\246\202\344\275\225\350\256\251AI\346\233\264\345\245\275\347\232\204\350\236\215\345\205\245\346\210\221\344\273\254\347\232\204\344\272\247\345\223\201\347\232\204/\345\256\236\350\256\255\346\204\237\346\202\237.md" +++ /dev/null @@ -1,109 +0,0 @@ -**X绘图-我们是如何让AI更好的融入我们的产品的** - -**引言：** - -> 笔者作为前端工程师，目前的工作主要是在为开源游戏平台XBuilder编写其精灵创作时的绘图功能。这个功能的基础是一个浏览器端编辑矢量图的功能。在此基础上，我们为其赋予了AI生成游戏素材的能力，让AI交互融入用户创作的过程中。 - -**序：** - -> 我们正处于AI大模型落地的浪潮中。越来越多的应用都喜欢标榜"AI赋能""AI融入"。但是，很多应用和程序并没有很好的将AI"融入"他们的应用，而只是做了"引入"，一个按钮，一个接口，一个对话框；一个简单的引入API确实能带来AI对话的能力，但是这和真正的让AI提升工作效率和提升创作的上限是有着很大的差距的。本文将从交互逻辑，AI能力，Prompt构建等方向入手，聚焦于我们的实习团队的尝试，思路和努力，更好的在XBuilder的绘图功能中引入AI生图从而提升用户创作能力。 - -1. **让AI交互融入交互逻辑** - -作为前端开发者，我认为，时刻保持对用户交互逻辑的清晰认知是最为重要的事情。一切的功能都应该由用户的需求出发。我们不能为了"引入AI"这个目标，盲目的在应用里放一个按钮，放一个API调用的入口。AI的能力很强，但是也很宽泛。我们所做的就是让AI的能力迎合用户的需求，让其真正的解决用户的痛点。 - -XBuilder平台面向的用户主要是对游戏制作有热情的青少年人群。他们往往年轻，有创意，但是缺少美术的能力和技术。所以，绘图平台想要融入AI，就必须抓住他们的重点：用户创作图像的能力较差，构建提示词的能力较弱，但是他们对AI生成结果有一定的要求。 - -所以，我们基于这个用户画像出发，我们的AI功能应该要满足用户的需求。所以，我们主要提供了AI素材库，AI提示词构建，AI图像生成的功能。这些功能涵盖了一个完整的用户交互逻辑链条： - -> 用户有想创作的游戏角色 -\> 用户构建提示词 -\> 提示词不断完善 -\> -> 最终生成用户满意的游戏素材 - -根据这一交互链路，我们构建了我们的AI素材生成体系。 - -2. **AI模型的选择** - -现在的通用大语言模型（如ChatGPT、Google Gemini）的性能是非常强大的，但是，他们能否胜任我们的需求呢？必须明确，我们的需求区别于传统的文生图，传统的文生图是生成png图像，或者说，生成位图。而我们的需求是生成矢量图（SVG）。这二者可谓天差地别。通用大语言模型生成位图的能力非常强，但是生成矢量图的能力则不一定了。所以，我们针对OpenAI GPT-4、Claude、Google Gemini 2.0 Pro，以及专业绘图模型Recraft v3/v2、SVGIO等多家模型商进行了测试。最终的结果表明，通用大模型在矢量绘图领域的能力是非常糟糕的。为了我们预期的用户体验，我们必须使用专业的生图模型。所以我们最后选择了Recraft作为主要的供应商来进行图片生成。笔者认为，很多业务上盲目的追求通用大模型，对话式帮助，其实是一种"偷懒"的行为。因为引入LLM，拉一个对话框，其实是在产品和交互上偷了懒。一个优秀的产品必须从用户需求出发，我们作为开发者必须反思：新增的功能到底能不能解决用户的痛点需求？ - -3. **Prompt构建体系** - -对于AI生成效果而言，Prompt的质量是非常重要的。业界有一句俗语，"Garbage in, garbage out."。我们的产品如果要优秀的生成效果，那就必须有优秀的Prompt。但是对我们的用户画像而言，用户自身构建提示词的能力其实是不强的。青少年儿童，特别是有创作游戏热情的儿童，我们对他们的语言描述能力是不做很高的预期的。所以，我们必须降低用户创建提示词的门槛，同时也要在用户看不到的地方进一步的提升提示词的质量，从而让大模型得到质量更高的提示词。 - -**3.1交互上的努力** - -**3.1.1风格选择** - -对于输出的图片而言，不同的风格得到的结果是截然不同的。于是，我们用风格选择器，帮助用户选择他们更预期的风格。这样的风格选择是基于图片的，而不仅仅是文字的，这样可以显著的降低门槛。同时，风格信息对于输出预期的提升是非常显著的。 - -风格选择器 - -**3.1.2提示词** - -我们构建了类IDE模式的提示词补全体系。我们预期的用户输入是简单的，基础的。对于一个6岁的孩子而言，他可能只能输出1-2个单词，你不可能指望孩子输出规范而详细的提示词。于是，我们在输入框中引入了补全体系。这个补全系统会根据用户的项目信息，结合小型大语言模型，对提示词进行强化和补全，从而在用户输入的过程动态的获取到更强大，规范，详细的提示词。 - -提示词补全示例 - -这是我们交互上的一个例子，我们可以看到，基于简单的用户输入，可以得到风格，样式，动作等多维度的提示，用户可以选择他预期的帮助，也可以继续自由输入。我们会不断地帮助用户构建他更想要的东西。 - -**3.1.2即时图片反馈** - -我们维护了一个庞大的AI素材库，我们所有AI生成的照片都会保存到库中。在我们输入提示词的过程中，随着补全，也会调用即时搜索的接口。这样，用户相当于能获得文字+图片的双重反馈。一方面，用户可以根据图片的反馈修改自己的提示词，另一方面，如果用户直接选择了素材库中的结果，也就节省了一次生成图片的调用成本。 - -**3.2 用户看不见的努力** - -我们在前端交互上致力于降低用户的输入门槛，但这仅仅是"冰山一角"。当用户的原始提示词，哪怕只是"一只猫"这样简单的短语，被传递到后端时，我们的系统会立即启动一套精密且多层次的自动化增强流程。这套流程的核心目的，就是将用户朴素、口语化的表达，翻译成AI绘图模型能够精准理解和高效执行的"专业指令"。 - -这个过程主要分为三个阶段：智能分析、分层优化和上下文融合。 - -**第一步：智能分析与"诊断"** - -系统首先会对用户输入的原始提示词进行一次快速的"诊断"。我们利用AI对提示词进行多维度分析，精准地理解其核心意图： - -- **内容类型分析 - (Type)**：判断用户想画的是动物、人物、场景还是其他具体事物。这决定了后续增强的基础方向。 - -- **情感风格分析 - (Emotion)**：解析用户可能蕴含的情感倾向，比如是想要"可爱"的风格，还是"炫酷"的风格。 - -- **复杂度分析 - (Complexity)**：评估用户描述的复杂程度。一个词的提示词（如"龙"）和一句话的提示词（如"一条在城堡上空喷火的龙"）所需要的增强策略是截然不同的。 - -这次诊断为后续的"对症下药"提供了精准的依据，确保增强的方向符合用户的初步设想。 - -**第二步：四层"处方"式优化** - -在完成分析后，系统会像开具处方一样，对提示词进行四层叠加式的强化，每一层都为最终的生成效果添砖加瓦： - -1. **主题增强 (Theme - Enhancement)**：首先，结合用户在界面上选择的视觉风格（如"卡通风"），系统会将风格转化为具体的、描述性的语言。例如，原始的"一只小猫"会在这里被扩充为"一只小猫，采用卡通风格，色彩鲜艳丰富，造型可爱有趣"。 - -2. **质量增强 (Quality - Enhancement)**：接着，根据第一步分析出的复杂度，系统会自动附加相应的质量要求。对于简单的提示词，我们会加上"高质量矢量图，线条清晰"；而对于复杂的创作，则会提升至"精致细节，专业插画，复杂设计"等专业级别要求，确保输出结果的下限。 - -3. **样式增强 (Style - Enhancement)**：然后，依据内容类型，系统会注入更具象的风格描述。如果画的是"动物"，就会补充"造型可爱友好"；如果画的是"场景"，则会强调"氛围感强，环境细节丰富"，让生成的内容更具表现力。 - -4. **技术要求 (Technical - Requirements)**：最后，也是至关重要的一步，我们会附加针对矢量图（SVG）格式的技术性指令，如"SVG矢量格式，几何形状简单，元素分离清晰，适合游戏资源"。这确保了AI生成的不仅是一张"图"，更是一个符合我们平台技术规范、便于用户后续编辑和使用的"资源"。 - -经过这四层优化，一个原本简单的用户输入已经被构建成一个结构完整、细节丰富、兼具艺术性与技术性的高质量Prompt。 - -**第三步：融合项目上下文的"个性化"** - -我们的增强不止于此。为了让AI生成的内容能更好地服务于用户的整体创作，系统还会智能提取用户当前项目中的关键信息（如项目名称、简介中的关键词）。例如，如果用户的项目是一个关于"森林冒险"的游戏，当他输入"背景图片"时，系统会自动将项目关键词融入提示词，最终形成如"背景图片, -相关元素: 森林, 冒险, 魔法, 精灵, -城堡"这样的指令。这使得AI的每一次生成都与用户的创作主题紧密相连，成为其游戏世界的一部分，而非一次孤立的绘图。 - -总而言之，在用户看不见的后端，我们通过一套自动化的分析、优化和融合流程，为用户的创意搭建了一座坚实的桥梁。这座桥梁跨越了从"朴素想法"到"专业指令"的鸿沟，让即便是毫无美术和AI使用经验的青少年，也能轻松驾驭强大的AI生产力，将心中的奇思妙想变为高质量的游戏素材。这正是我们将AI"融入"产品，而非简单"引入"的核心体现。 - -4. **总结与展望** - -回顾我们在XBuilder绘图功能中融合AI的探索历程，我们深刻地体会到，AI与产品的深度融合，绝非简单地在界面上增加一个功能按钮，而是要将AI能力作为一种底层支持，无缝地嵌入到用户自然创作的每一个环节中。 - -我们的核心思路，是构建一套从前端交互到后端赋能的完整闭环。在用户看得见的地方，我们通过风格选择器、IDE式的提示词补全和即时图片反馈等交互设计，最大限度地降低了青少年用户的创作门槛，引导他们更清晰地表达自己的创意。而在用户看不见的地方，我们通过智能分析、多层优化和上下文融合的自动化Prompt增强体系，将用户最朴素的想法"翻译"和"拔高"为专业级的创作指令，确保了最终输出的质量和相关性。 - -这套"表里结合"的方案，让我们成功地将强大的AI生图能力，转化为了用户手中易于驾驭的创作工具。它解决了我们目标用户"有创意，但缺乏实现能力"的核心痛点，真正做到了让技术为人服务。 - -展望未来，AI技术仍在飞速发展，但这并不会改变我们以用户为中心的产品哲学。我们认为，AI时代下优秀的产品设计，是让复杂的AI技术"退居幕后"，让用户的创意和思想站在舞台的中央。未来的挑战不再仅仅是追求更强大的模型或更炫酷的功能，而在于如何更深刻地理解用户需求，如何用更自然、更无感的方式将AI变成用户创造力的延伸。 - 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+ + \ No newline at end of file diff --git a/README.md b/README.md index 5bb037f..e817a19 100644 --- a/README.md +++ b/README.md @@ -45,23 +45,31 @@ | 13 | 从类型系统理解 LLGo 编译器的实现 | [📖 阅读](2025/13.从类型系统理解%20LLGo%20编译器的实现/typesystem_llgo.md) | | 14 | Code Review 不是什么——盘点5个常见误区 | [📖 阅读](2025/14.%20Code%20Review%20不是什么/what-code-review-is-not.md) | | 15 | 架构设计从何入手？ | [📖 阅读](2025/15.%20架构设计从何入手/content.md) | +| 16 | 关于架构设计的几点认知体会 | [📖 阅读](2025/16.%20关于架构设计的几点认知体会/content.md) | +| 17 | SPX-Algorithm：构建多模态搜索服务的一些心得 | [📖 阅读](2025/17.%20SPX-Algorithm：构建多模态搜索服务的一些心得/share.md) | +| 18 | 代码不是核心：从 XLink 项目看产品开发的决策层次 | [📖 阅读](2025/18.%20代码不是核心：从%20XLink%20项目看产品开发的决策层次/content.md) | +| 19 | llpyg: LLGo 快速集成 Python 生态的桥梁 | [📖 阅读](2025/19.%20llpyg:%20LLGo%20快速集成%20Python%20生态的桥梁/content.md) | +| 20 | X绘图：我们如何让 AI 更好地融入产品 | [📖 阅读](2025/20.%20X绘图-我们是如何让AI更好的融入我们的产品的/实训感悟.md) | +| 21 | LLGo 中 Python 编译与运行时集成：从依赖识别到一键交付 | [📖 阅读](2025/21.%20LLGo%20中%20Python%20编译与运行时集成/content.md) | ### 🎓 第 4 期训练营 #### 实训课题 -| 模块 | 主题 | 内容 | -| ------- | --------------------------------------- | --------------------------------------------- | +| 模块 | 主题 | 内容 | +| ---- | -------------------------------------------- | ------------------------------------------------------------------------------------------- | | 第 1 组 | XBuilder 项目分享与传播 | [📖 阅读](4th/1st_xbuilder_share/topic.md) | | 第 2 组 | XBuilder 基于大模型的代码生成与素材生成 | [📖 阅读](4th/2nd_copilot_classfile/topic.md) | | 第 3 组 | LLGo 对 Python 库开箱即用 | [📖 阅读](4th/3rd_llgo_python/topic.md) | | 第 4 组 | AI Powered Ops | [📖 阅读](4th/4th_ai_powered_ops/topic.md) | + #### 实训公开课 -| 期数 | 主题 | 内容 | -| ------- | --------------------------------------- | ---------------------------------- | +| 期数 | 主题 | 内容 | +| ---- | -------------------------------------------- | ------------------------------------------------------------------------------------------- | | 第 1 期 | 《人人都是产品经理》作者苏杰：AI 教我的产品哲学 | [📖 观看](https://mp.weixin.qq.com/s/qGQBKs3bjDZzk-SKdNumBw) | | 第 2 期 | 汪源 × 许式伟：AI时代如何打造真正解决用户痛点的产品？ | [📖 观看](https://mp.weixin.qq.com/s/eppy6z7XNN-mVZIjk44yvg) | | 第 3 期 | 《构建之法》作者邹欣：实战中的软件工程——从微软到 AI 时代的构建之道 | [📖 观看](https://mp.weixin.qq.com/s/CkKXGLzycyE7inMFp6jKlw) | +| 第 4 期 | 毕玄 x 许式伟：AI时代架构演进的底层逻辑与未来挑战 | [📖 观看](https://mp.weixin.qq.com/s/ON0dmxCtD0CjBo6ZEewK4Q) | ### 📋 实训营规范 diff --git a/assets/css/styles.d4f3a388.css b/assets/css/styles.d4f3a388.css new file mode 100644 index 0000000..84e1633 --- /dev/null +++ b/assets/css/styles.d4f3a388.css @@ -0,0 +1 @@ +@layer docusaurus.infima,docusaurus.theme-common,docusaurus.theme-classic,docusaurus.core,docusaurus.plugin-debug,docusaurus.theme-mermaid,docusaurus.theme-live-codeblock,docusaurus.theme-search-algolia.docsearch,docusaurus.theme-search-algolia;@layer docusaurus.infima{.col,.container{padding:0 var(--ifm-spacing-horizontal);width:100%}.markdown>h2,.markdown>h3,.markdown>h4,.markdown>h5,.markdown>h6{margin-bottom:calc(var(--ifm-heading-vertical-rhythm-bottom)*var(--ifm-leading))}.markdown 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n=t.stateNode,r=null,null!==e&&(r=e.memoizedState.cache),t.memoizedState.cache!==r&&(t.flags|=2048),_a(Ma),K(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),null!==e&&null!==e.child||(ba(t)?ls(t):null===e||e.memoizedState.isDehydrated&&!(256&t.flags)||(t.flags|=1024,wa())),fs(t),null;case 26:var a=t.type,o=t.memoizedState;return null===e?(ls(t),null!==o?(fs(t),us(t,o)):(fs(t),ss(t,a,0,0,n))):o?o!==e.memoizedState?(ls(t),fs(t),us(t,o)):(fs(t),t.flags&=-16777217):((e=e.memoizedProps)!==r&&ls(t),fs(t),ss(t,a,0,0,n)),null;case 27:if(X(t),n=V.current,a=t.type,null!==e&&null!=t.stateNode)e.memoizedProps!==r&&ls(t);else{if(!r){if(null===t.stateNode)throw Error(i(166));return fs(t),null}e=H.current,ba(t)?ga(t):(e=Id(a,r,n),t.stateNode=e,ls(t))}return fs(t),null;case 5:if(X(t),a=t.type,null!==e&&null!=t.stateNode)e.memoizedProps!==r&&ls(t);else{if(!r){if(null===t.stateNode)throw Error(i(166));return fs(t),null}if(o=H.current,ba(t))ga(t);else{var l=gd(V.current);switch(o){case 1:o=l.createElementNS("http://www.w3.org/2000/svg",a);break;case 2:o=l.createElementNS("http://www.w3.org/1998/Math/MathML",a);break;default:switch(a){case"svg":o=l.createElementNS("http://www.w3.org/2000/svg",a);break;case"math":o=l.createElementNS("http://www.w3.org/1998/Math/MathML",a);break;case"script":(o=l.createElement("div")).innerHTML="<script><\/script>",o=o.removeChild(o.firstChild);break;case"select":o="string"==typeof r.is?l.createElement("select",{is:r.is}):l.createElement("select"),r.multiple?o.multiple=!0:r.size&&(o.size=r.size);break;default:o="string"==typeof r.is?l.createElement(a,{is:r.is}):l.createElement(a)}}o[$e]=t,o[Ue]=r;e:for(l=t.child;null!==l;){if(5===l.tag||6===l.tag)o.appendChild(l.stateNode);else if(4!==l.tag&&27!==l.tag&&null!==l.child){l.child.return=l,l=l.child;continue}if(l===t)break e;for(;null===l.sibling;){if(null===l.return||l.return===t)break e;l=l.return}l.sibling.return=l.return,l=l.sibling}t.stateNode=o;e:switch(fd(o,a,r),a){case"button":case"input":case"select":case"textarea":r=!!r.autoFocus;break e;case"img":r=!0;break e;default:r=!1}r&&ls(t)}}return fs(t),ss(t,t.type,null===e||e.memoizedProps,t.pendingProps,n),null;case 6:if(e&&null!=t.stateNode)e.memoizedProps!==r&&ls(t);else{if("string"!=typeof r&&null===t.stateNode)throw Error(i(166));if(e=V.current,ba(t)){if(e=t.stateNode,n=t.memoizedProps,r=null,null!==(a=ua))switch(a.tag){case 27:case 5:r=a.memoizedProps}e[$e]=t,(e=!!(e.nodeValue===n||null!==r&&!0===r.suppressHydrationWarning||ud(e.nodeValue,n)))||ha(t,!0)}else(e=gd(e).createTextNode(r))[$e]=t,t.stateNode=e}return fs(t),null;case 31:if(n=t.memoizedState,null===e||null!==e.memoizedState){if(r=ba(t),null!==n){if(null===e){if(!r)throw Error(i(318));if(!(e=null!==(e=t.memoizedState)?e.dehydrated:null))throw Error(i(557));e[$e]=t}else va(),!(128&t.flags)&&(t.memoizedState=null),t.flags|=4;fs(t),e=!1}else n=wa(),null!==e&&null!==e.memoizedState&&(e.memoizedState.hydrationErrors=n),e=!0;if(!e)return 256&t.flags?(zo(t),t):(zo(t),null);if(128&t.flags)throw Error(i(558))}return fs(t),null;case 13:if(r=t.memoizedState,null===e||null!==e.memoizedState&&null!==e.memoizedState.dehydrated){if(a=ba(t),null!==r&&null!==r.dehydrated){if(null===e){if(!a)throw Error(i(318));if(!(a=null!==(a=t.memoizedState)?a.dehydrated:null))throw Error(i(317));a[$e]=t}else va(),!(128&t.flags)&&(t.memoizedState=null),t.flags|=4;fs(t),a=!1}else a=wa(),null!==e&&null!==e.memoizedState&&(e.memoizedState.hydrationErrors=a),a=!0;if(!a)return 256&t.flags?(zo(t),t):(zo(t),null)}return zo(t),128&t.flags?(t.lanes=n,t):(n=null!==r,e=null!==e&&null!==e.memoizedState,n&&(a=null,null!==(r=t.child).alternate&&null!==r.alternate.memoizedState&&null!==r.alternate.memoizedState.cachePool&&(a=r.alternate.memoizedState.cachePool.pool),o=null,null!==r.memoizedState&&null!==r.memoizedState.cachePool&&(o=r.memoizedState.cachePool.pool),o!==a&&(r.flags|=2048)),n!==e&&n&&(t.child.flags|=8192),cs(t,t.updateQueue),fs(t),null);case 4:return K(),null===e&&Jc(t.stateNode.containerInfo),fs(t),null;case 10:return _a(t.type),fs(t),null;case 19:if(B(Bo),null===(r=t.memoizedState))return fs(t),null;if(a=!!(128&t.flags),null===(o=r.rendering))if(a)ds(r,!1);else{if(0!==xu||null!==e&&128&e.flags)for(e=t.child;null!==e;){if(null!==(o=$o(e))){for(t.flags|=128,ds(r,!1),e=o.updateQueue,t.updateQueue=e,cs(t,e),t.subtreeFlags=0,e=n,n=t.child;null!==n;)$r(n,e),n=n.sibling;return 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zo(t),No(),r=null!==t.memoizedState,null!==e?null!==e.memoizedState!==r&&(t.flags|=8192):r&&(t.flags|=8192),r?!!(536870912&n)&&!(128&t.flags)&&(fs(t),6&t.subtreeFlags&&(t.flags|=8192)):fs(t),null!==(n=t.updateQueue)&&cs(t,n.retryQueue),n=null,null!==e&&null!==e.memoizedState&&null!==e.memoizedState.cachePool&&(n=e.memoizedState.cachePool.pool),r=null,null!==t.memoizedState&&null!==t.memoizedState.cachePool&&(r=t.memoizedState.cachePool.pool),r!==n&&(t.flags|=2048),null!==e&&B(Wa),null;case 24:return n=null,null!==e&&(n=e.memoizedState.cache),t.memoizedState.cache!==n&&(t.flags|=2048),_a(Ma),fs(t),null;case 25:case 30:return null}throw Error(i(156,t.tag))}function ms(e,t){switch(la(t),t.tag){case 1:return 65536&(e=t.flags)?(t.flags=-65537&e|128,t):null;case 3:return _a(Ma),K(),65536&(e=t.flags)&&!(128&e)?(t.flags=-65537&e|128,t):null;case 26:case 27:case 5:return X(t),null;case 31:if(null!==t.memoizedState){if(zo(t),null===t.alternate)throw Error(i(340));va()}return 65536&(e=t.flags)?(t.flags=-65537&e|128,t):null;case 13:if(zo(t),null!==(e=t.memoizedState)&&null!==e.dehydrated){if(null===t.alternate)throw Error(i(340));va()}return 65536&(e=t.flags)?(t.flags=-65537&e|128,t):null;case 19:return B(Bo),null;case 4:return K(),null;case 10:return _a(t.type),null;case 22:case 23:return zo(t),No(),null!==e&&B(Wa),65536&(e=t.flags)?(t.flags=-65537&e|128,t):null;case 24:return _a(Ma),null;default:return null}}function hs(e,t){switch(la(t),t.tag){case 3:_a(Ma),K();break;case 26:case 27:case 5:X(t);break;case 4:K();break;case 31:null!==t.memoizedState&&zo(t);break;case 13:zo(t);break;case 19:B(Bo);break;case 10:_a(t.type);break;case 22:case 23:zo(t),No(),null!==e&&B(Wa);break;case 24:_a(Ma)}}function gs(e,t){try{var n=t.updateQueue,r=null!==n?n.lastEffect:null;if(null!==r){var a=r.next;n=a;do{if((n.tag&e)===e){r=void 0;var o=n.create,i=n.inst;r=o(),i.destroy=r}n=n.next}while(n!==a)}}catch(l){xc(t,t.return,l)}}function ys(e,t,n){try{var r=t.updateQueue,a=null!==r?r.lastEffect:null;if(null!==a){var o=a.next;r=o;do{if((r.tag&e)===e){var i=r.inst,l=i.destroy;if(void 0!==l){i.destroy=void 0,a=t;var s=n,u=l;try{u()}catch(c){xc(a,s,c)}}}r=r.next}while(r!==o)}}catch(c){xc(t,t.return,c)}}function bs(e){var t=e.updateQueue;if(null!==t){var n=e.stateNode;try{Ao(t,n)}catch(r){xc(e,e.return,r)}}}function vs(e,t,n){n.props=xl(e.type,e.memoizedProps),n.state=e.memoizedState;try{n.componentWillUnmount()}catch(r){xc(e,t,r)}}function ws(e,t){try{var n=e.ref;if(null!==n){switch(e.tag){case 26:case 27:case 5:var r=e.stateNode;break;default:r=e.stateNode}"function"==typeof n?e.refCleanup=n(r):n.current=r}}catch(a){xc(e,t,a)}}function ks(e,t){var n=e.ref,r=e.refCleanup;if(null!==n)if("function"==typeof r)try{r()}catch(a){xc(e,t,a)}finally{e.refCleanup=null,null!=(e=e.alternate)&&(e.refCleanup=null)}else if("function"==typeof n)try{n(null)}catch(o){xc(e,t,o)}else n.current=null}function Ss(e){var t=e.type,n=e.memoizedProps,r=e.stateNode;try{e:switch(t){case"button":case"input":case"select":case"textarea":n.autoFocus&&r.focus();break e;case"img":n.src?r.src=n.src:n.srcSet&&(r.srcset=n.srcSet)}}catch(a){xc(e,e.return,a)}}function xs(e,t,n){try{var r=e.stateNode;!function(e,t,n,r){switch(t){case"div":case"span":case"svg":case"path":case"a":case"g":case"p":case"li":break;case"input":var a=null,o=null,l=null,s=null,u=null,c=null,d=null;for(m in n){var f=n[m];if(n.hasOwnProperty(m)&&null!=f)switch(m){case"checked":case"value":break;case"defaultValue":u=f;default:r.hasOwnProperty(m)||cd(e,t,m,null,r,f)}}for(var p in r){var m=r[p];if(f=n[p],r.hasOwnProperty(p)&&(null!=m||null!=f))switch(p){case"type":o=m;break;case"name":a=m;break;case"checked":c=m;break;case"defaultChecked":d=m;break;case"value":l=m;break;case"defaultValue":s=m;break;case"children":case"dangerouslySetInnerHTML":if(null!=m)throw Error(i(137,t));break;default:m!==f&&cd(e,t,p,m,r,f)}}return void 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e.languages.flow.parameter,e.languages.insertBefore("flow","operator",{"flow-punctuation":{pattern:/\{\||\|\}/,alias:"punctuation"}}),Array.isArray(e.languages.flow.keyword)||(e.languages.flow.keyword=[e.languages.flow.keyword]),e.languages.flow.keyword.unshift({pattern:/(^|[^$]\b)(?:Class|declare|opaque|type)\b(?!\$)/,lookbehind:!0},{pattern:/(^|[^$]\B)\$(?:Diff|Enum|Exact|Keys|ObjMap|PropertyType|Record|Shape|Subtype|Supertype|await)\b(?!\$)/,lookbehind:!0})}(A),A.languages.n4js=A.languages.extend("javascript",{keyword:/\b(?:Array|any|boolean|break|case|catch|class|const|constructor|continue|debugger|declare|default|delete|do|else|enum|export|extends|false|finally|for|from|function|get|if|implements|import|in|instanceof|interface|let|module|new|null|number|package|private|protected|public|return|set|static|string|super|switch|this|throw|true|try|typeof|var|void|while|with|yield)\b/}),A.languages.insertBefore("n4js","constant",{annotation:{pattern:/@+\w+/,alias:"operator"}}),A.languages.n4jsd=A.languages.n4js,function(e){function t(e,t){return RegExp(e.replace(/<ID>/g,function(){return/(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*/.source}),t)}e.languages.insertBefore("javascript","function-variable",{"method-variable":{pattern:RegExp("(\\.\\s*)"+e.languages.javascript["function-variable"].pattern.source),lookbehind:!0,alias:["function-variable","method","function","property-access"]}}),e.languages.insertBefore("javascript","function",{method:{pattern:RegExp("(\\.\\s*)"+e.languages.javascript.function.source),lookbehind:!0,alias:["function","property-access"]}}),e.languages.insertBefore("javascript","constant",{"known-class-name":[{pattern:/\b(?:(?:Float(?:32|64)|(?:Int|Uint)(?:8|16|32)|Uint8Clamped)?Array|ArrayBuffer|BigInt|Boolean|DataView|Date|Error|Function|Intl|JSON|(?:Weak)?(?:Map|Set)|Math|Number|Object|Promise|Proxy|Reflect|RegExp|String|Symbol|WebAssembly)\b/,alias:"class-name"},{pattern:/\b(?:[A-Z]\w*)Error\b/,alias:"class-name"}]}),e.languages.insertBefore("javascript","keyword",{imports:{pattern:t(/(\bimport\b\s*)(?:<ID>(?:\s*,\s*(?:\*\s*as\s+<ID>|\{[^{}]*\}))?|\*\s*as\s+<ID>|\{[^{}]*\})(?=\s*\bfrom\b)/.source),lookbehind:!0,inside:e.languages.javascript},exports:{pattern:t(/(\bexport\b\s*)(?:\*(?:\s*as\s+<ID>)?(?=\s*\bfrom\b)|\{[^{}]*\})/.source),lookbehind:!0,inside:e.languages.javascript}}),e.languages.javascript.keyword.unshift({pattern:/\b(?:as|default|export|from|import)\b/,alias:"module"},{pattern:/\b(?:await|break|catch|continue|do|else|finally|for|if|return|switch|throw|try|while|yield)\b/,alias:"control-flow"},{pattern:/\bnull\b/,alias:["null","nil"]},{pattern:/\bundefined\b/,alias:"nil"}),e.languages.insertBefore("javascript","operator",{spread:{pattern:/\.{3}/,alias:"operator"},arrow:{pattern:/=>/,alias:"operator"}}),e.languages.insertBefore("javascript","punctuation",{"property-access":{pattern:t(/(\.\s*)#?<ID>/.source),lookbehind:!0},"maybe-class-name":{pattern:/(^|[^$\w\xA0-\uFFFF])[A-Z][$\w\xA0-\uFFFF]+/,lookbehind:!0},dom:{pattern:/\b(?:document|(?:local|session)Storage|location|navigator|performance|window)\b/,alias:"variable"},console:{pattern:/\bconsole(?=\s*\.)/,alias:"class-name"}});for(var n=["function","function-variable","method","method-variable","property-access"],r=0;r<n.length;r++){var a=n[r],o=e.languages.javascript[a];a=(o="RegExp"===e.util.type(o)?e.languages.javascript[a]={pattern:o}:o).inside||{};(o.inside=a)["maybe-class-name"]=/^[A-Z][\s\S]*/}}(A),function(e){var t=e.util.clone(e.languages.javascript),n=/(?:\s|\/\/.*(?!.)|\/\*(?:[^*]|\*(?!\/))\*\/)/.source,r=/(?:\{(?:\{(?:\{[^{}]*\}|[^{}])*\}|[^{}])*\})/.source,a=/(?:\{<S>*\.{3}(?:[^{}]|<BRACES>)*\})/.source;function o(e,t){return e=e.replace(/<S>/g,function(){return n}).replace(/<BRACES>/g,function(){return r}).replace(/<SPREAD>/g,function(){return a}),RegExp(e,t)}function i(t){for(var n=[],r=0;r<t.length;r++){var a=t[r],o=!1;"string"!=typeof a&&("tag"===a.type&&a.content[0]&&"tag"===a.content[0].type?"</"===a.content[0].content[0].content?0<n.length&&n[n.length-1].tagName===l(a.content[0].content[1])&&n.pop():"/>"!==a.content[a.content.length-1].content&&n.push({tagName:l(a.content[0].content[1]),openedBraces:0}):0<n.length&&"punctuation"===a.type&&"{"===a.content?n[n.length-1].openedBraces++:0<n.length&&0<n[n.length-1].openedBraces&&"punctuation"===a.type&&"}"===a.content?n[n.length-1].openedBraces--:o=!0),(o||"string"==typeof a)&&0<n.length&&0===n[n.length-1].openedBraces&&(o=l(a),r<t.length-1&&("string"==typeof t[r+1]||"plain-text"===t[r+1].type)&&(o+=l(t[r+1]),t.splice(r+1,1)),0<r&&("string"==typeof t[r-1]||"plain-text"===t[r-1].type)&&(o=l(t[r-1])+o,t.splice(r-1,1),r--),t[r]=new e.Token("plain-text",o,null,o)),a.content&&"string"!=typeof a.content&&i(a.content)}}a=o(a).source,e.languages.jsx=e.languages.extend("markup",t),e.languages.jsx.tag.pattern=o(/<\/?(?:[\w.:-]+(?:<S>+(?:[\w.:$-]+(?:=(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s{'"/>=]+|<BRACES>))?|<SPREAD>))*<S>*\/?)?>/.source),e.languages.jsx.tag.inside.tag.pattern=/^<\/?[^\s>\/]*/,e.languages.jsx.tag.inside["attr-value"].pattern=/=(?!\{)(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s'">]+)/,e.languages.jsx.tag.inside.tag.inside["class-name"]=/^[A-Z]\w*(?:\.[A-Z]\w*)*$/,e.languages.jsx.tag.inside.comment=t.comment,e.languages.insertBefore("inside","attr-name",{spread:{pattern:o(/<SPREAD>/.source),inside:e.languages.jsx}},e.languages.jsx.tag),e.languages.insertBefore("inside","special-attr",{script:{pattern:o(/=<BRACES>/.source),alias:"language-javascript",inside:{"script-punctuation":{pattern:/^=(?=\{)/,alias:"punctuation"},rest:e.languages.jsx}}},e.languages.jsx.tag);var l=function(e){return e?"string"==typeof e?e:"string"==typeof e.content?e.content:e.content.map(l).join(""):""};e.hooks.add("after-tokenize",function(e){"jsx"!==e.language&&"tsx"!==e.language||i(e.tokens)})}(A),function(e){var t=e.util.clone(e.languages.typescript);(t=(e.languages.tsx=e.languages.extend("jsx",t),delete e.languages.tsx.parameter,delete e.languages.tsx["literal-property"],e.languages.tsx.tag)).pattern=RegExp(/(^|[^\w$]|(?=<\/))/.source+"(?:"+t.pattern.source+")",t.pattern.flags),t.lookbehind=!0}(A),A.languages.swift={comment:{pattern:/(^|[^\\:])(?:\/\/.*|\/\*(?:[^/*]|\/(?!\*)|\*(?!\/)|\/\*(?:[^*]|\*(?!\/))*\*\/)*\*\/)/,lookbehind:!0,greedy:!0},"string-literal":[{pattern:RegExp(/(^|[^"#])/.source+"(?:"+/"(?:\\(?:\((?:[^()]|\([^()]*\))*\)|\r\n|[^(])|[^\\\r\n"])*"/.source+"|"+/"""(?:\\(?:\((?:[^()]|\([^()]*\))*\)|[^(])|[^\\"]|"(?!""))*"""/.source+")"+/(?!["#])/.source),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\\($/,alias:"punctuation"},punctuation:/\\(?=[\r\n])/,string:/[\s\S]+/}},{pattern:RegExp(/(^|[^"#])(#+)/.source+"(?:"+/"(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|\r\n|[^#])|[^\\\r\n])*?"/.source+"|"+/"""(?:\\(?:#+\((?:[^()]|\([^()]*\))*\)|[^#])|[^\\])*?"""/.source+")\\2"),lookbehind:!0,greedy:!0,inside:{interpolation:{pattern:/(\\#+\()(?:[^()]|\([^()]*\))*(?=\))/,lookbehind:!0,inside:null},"interpolation-punctuation":{pattern:/^\)|\\#+\($/,alias:"punctuation"},string:/[\s\S]+/}}],directive:{pattern:RegExp(/#/.source+"(?:"+/(?:elseif|if)\b/.source+"(?:[ 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e.languages.kotlin["class-name"];var t={"interpolation-punctuation":{pattern:/^\$\{?|\}$/,alias:"punctuation"},expression:{pattern:/[\s\S]+/,inside:e.languages.kotlin}};e.languages.insertBefore("kotlin","string",{"string-literal":[{pattern:/"""(?:[^$]|\$(?:(?!\{)|\{[^{}]*\}))*?"""/,alias:"multiline",inside:{interpolation:{pattern:/\$(?:[a-z_]\w*|\{[^{}]*\})/i,inside:t},string:/[\s\S]+/}},{pattern:/"(?:[^"\\\r\n$]|\\.|\$(?:(?!\{)|\{[^{}]*\}))*"/,alias:"singleline",inside:{interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$(?:[a-z_]\w*|\{[^{}]*\})/i,lookbehind:!0,inside:t},string:/[\s\S]+/}}],char:{pattern:/'(?:[^'\\\r\n]|\\(?:.|u[a-fA-F0-9]{0,4}))'/,greedy:!0}}),delete e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(A),A.languages.c=A.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),A.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),A.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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A.languages.c.boolean,A.languages.objectivec=A.languages.extend("c",{string:{pattern:/@?"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},keyword:/\b(?:asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|in|inline|int|long|register|return|self|short|signed|sizeof|static|struct|super|switch|typedef|typeof|union|unsigned|void|volatile|while)\b|(?:@interface|@end|@implementation|@protocol|@class|@public|@protected|@private|@property|@try|@catch|@finally|@throw|@synthesize|@dynamic|@selector)\b/,operator:/-[->]?|\+\+?|!=?|<<?=?|>>?=?|==?|&&?|\|\|?|[~^%?*\/@]/}),delete 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Cruz - http://ricostacruz.com/nprogress + * @license MIT */ + +/** + * @license React + * react-dom-client.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * react-dom.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * react-jsx-runtime.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * react.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * scheduler.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** @license React v16.13.1 + * react-is.production.min.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ diff --git a/assets/js/runtime~main.b5dba83f.js b/assets/js/runtime~main.b5dba83f.js new file mode 100644 index 0000000..a283109 --- /dev/null +++ b/assets/js/runtime~main.b5dba83f.js @@ -0,0 +1 @@ +(()=>{"use strict";var e,a,t,r,o,c={},n={};function f(e){var a=n[e];if(void 0!==a)return a.exports;var t=n[e]={id:e,loaded:!1,exports:{}};return 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+

历史博文

历史博文

2025​

+ + \ No newline at end of file diff --git a/blog/atom.css b/blog/atom.css new file mode 100644 index 0000000..d2fc20b --- /dev/null +++ b/blog/atom.css @@ -0,0 +1,75 @@ +/** + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +main { + flex: 1 0 auto; + width: 100%; + margin: 2rem auto; + max-width: 800px; + /* stylelint-disable-next-line font-family-name-quotes */ + font-family: system-ui, -apple-system, Segoe UI, Roboto, Ubuntu, Cantarell; +} + +.info { + display: block; + margin: 2rem 0; + padding: 1.6rem 2.4rem; + border: 1px solid dodgerblue; + border-left-width: 0.5rem; + border-radius: 0.4rem; + background-color: #edf5ff; +} + +a { + color: #005aff; + text-decoration: none; +} + +h1 { + text-wrap: balance; + font-size: 3.4rem; + font-weight: 800; + margin-bottom: 2rem; + display: flex; + align-items: center; +} + +h1 .rss-icon { + height: 3.2rem; + width: 3.2rem; + margin-right: 1rem; +} + +h2 { + font-size: 2.2rem; + font-weight: 700; + margin-bottom: 0.2rem; +} + +h3 { + font-size: 1.8rem; + font-weight: 700; + margin-bottom: 0.1rem; +} + +.blog-description { + font-size: 1.4rem; + margin-bottom: 0.6rem; +} + +.blog-post-date { + font-size: 1rem; + line-height: 1.4rem; + font-style: italic; + color: #797b7e; +} + +.blog-post-description { + font-size: 1rem; + line-height: 1.4rem; + color: #434349; +} diff --git a/blog/atom.xml b/blog/atom.xml new file mode 100644 index 0000000..2516db0 --- /dev/null +++ b/blog/atom.xml @@ -0,0 +1,47 @@ + + + https://qiniu.github.io/techcamp/blog + 1024 TechCamp Blog + 2025-01-01T00:00:00.000Z + https://github.com/jpmonette/feed + + 1024 TechCamp Blog + https://qiniu.github.io/techcamp/img/favicon.ico + + <![CDATA[欢迎来到 1024 TechCamp 官方网站]]> + https://qiniu.github.io/techcamp/blog/welcome-techcamp-website + + 2025-01-01T00:00:00.000Z + + 🎉 欢迎来到全新的 1024 TechCamp 官方网站！

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敬请期待！🚀

]]> + + 1024 TechCamp Team + https://github.com/qiniu/techcamp + + + + \ No newline at end of file diff --git a/blog/atom.xsl b/blog/atom.xsl new file mode 100644 index 0000000..b4b2d96 --- /dev/null +++ b/blog/atom.xsl @@ -0,0 +1,92 @@ + + + + + + + + Atom Feed | <xsl:value-of + select="atom:feed/atom:title" + /> + + + +
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1024 实训营官方网站正式上线！在这里，你可以：

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我们的愿景​

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我们致力于打造一个开放、实践、创新的工程师成长平台。通过：

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  • 开源公开：过程公开，结果开源，倒逼高质量产出
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敬请期待！🚀

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欢迎来到 1024 TechCamp 官方网站

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🎉 欢迎来到全新的 1024 TechCamp 官方网站！

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关于本站​

+

1024 实训营官方网站正式上线！在这里，你可以：

+
    +
  • 📖 阅读导师和学员的技术分享文章
    • +
  • 🎓 了解实训营的课程和项目
    • +
  • 💡 查看往期的技术讲座和工作坊
    • +
  • 🤝 参与开源社区的讨论和贡献
    • +
+

我们的愿景​

+

我们致力于打造一个开放、实践、创新的工程师成长平台。通过：

+
    +
  • 开源公开：过程公开，结果开源，倒逼高质量产出
    • +
  • AI Native：拥抱 AI 时代，让 AI 成为最强大的伙伴
    • +
  • 资深带教：资深专家全程陪跑，坚持高工程标准
    • +
+

精彩内容预告​

+

即将发布的内容包括：

+
    +
  • 编译器技术深度解析
    • +
  • AI 辅助开发实践经验
    • +
  • 工程实践与架构设计分享
    • +
  • 学员项目复盘与心得
    • +
+

敬请期待！🚀

+ + \ No newline at end of file diff --git a/docs/contributing/index.html b/docs/contributing/index.html new file mode 100644 index 0000000..0882e94 --- /dev/null +++ b/docs/contributing/index.html @@ -0,0 +1,63 @@ + + + + + +参与贡献 | 1024 TechCamp + + + + + + + + +

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    • +
+

许可证​

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本项目采用 Apache-2.0 许可证。

+ + \ No newline at end of file diff --git a/docs/intro/index.html b/docs/intro/index.html new file mode 100644 index 0000000..7db22fb --- /dev/null +++ b/docs/intro/index.html @@ -0,0 +1,34 @@ + + + + + +关于 1024 实训营 | 1024 TechCamp + + + + + + + + +

关于 1024 实训营

+

欢迎来到 1024 实训营！

+

项目简介​

+

1024 实训营，由七牛云发起，致力于打造一个开放、实践、创新的工程师成长平台。我们以开源精神为基石，以工程实践为路径，以架构思维为指引，在真实项目中锤炼工程师的工匠精神。

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在这里，你将直面真实复杂的开源项目，体验严谨的工程规范，感受架构设计的艺术，在实战中锻造工程思维，在协作中传承技术精神。

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我们相信，优秀的工程师不仅需要扎实的技术功底，更需要追求卓越的工程精神。

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如果你也热爱技术、渴望成长，欢迎加入我们。

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项目特色​

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  • 开源公开：过程公开，结果开源，倒逼高质量产出，让优秀者容易被看见
    • +
  • AI Native：倡导 Build/Think/Code With AI，让 AI 成为你最强大的伙伴，共同创造
    • +
  • 技术纵深：挑战编程语言、编译器等高技术门槛项目，技术纵深足够，切入点不设限
    • +
  • 资深带教：资深专家全程陪跑，代码逐行审阅，架构反复推敲，坚持高工程标准
    • +
  • 全流程参与：从定方位到架构设计再到开发实现，体验完整的产品思维和架构思维
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  • 小团队共创：3-5 人小组协作，激发潜能，培养团队协作和领导力
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+

快速开始​

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查看我们的 GitHub 仓库 了解更多信息，或者访问 技术博客 阅读精彩的技术分享。

+ + \ No newline at end of file diff --git a/docs/proposals/index.html b/docs/proposals/index.html new file mode 100644 index 0000000..b9fad5a --- /dev/null +++ b/docs/proposals/index.html @@ -0,0 +1,30 @@ + + + + + +提案与建议 | 1024 TechCamp + + + + + + + + +

提案与建议

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这里收集了实训营的各类提案和指导文档。

+

课程指导​

+ +

提交提案​

+

如果你有新的想法或建议，欢迎：

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    +
  1. 在 GitHub Issues 创建提案
    2. +
  2. 使用 proposal 标签标记
    3. +
  3. 详细描述你的想法和实现思路
    4. +
+

我们会认真审阅每一个提案，优秀的提案将被采纳并实施。

+ + \ No newline at end of file diff --git a/img/docusaurus-social-card.jpg b/img/docusaurus-social-card.jpg new file mode 100644 index 0000000..ffcb448 Binary files /dev/null and b/img/docusaurus-social-card.jpg differ diff --git a/img/docusaurus.png b/img/docusaurus.png new file mode 100644 index 0000000..f458149 Binary files /dev/null and b/img/docusaurus.png differ diff --git a/img/favicon.ico b/img/favicon.ico new file mode 100644 index 0000000..c01d54b Binary files /dev/null and b/img/favicon.ico differ diff --git a/img/logo.svg b/img/logo.svg new file mode 100644 index 0000000..9db6d0d --- /dev/null +++ b/img/logo.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/img/undraw_docusaurus_mountain.svg b/img/undraw_docusaurus_mountain.svg new file mode 100644 index 0000000..af961c4 --- /dev/null +++ b/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,171 @@ + + Easy to Use + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/img/undraw_docusaurus_react.svg b/img/undraw_docusaurus_react.svg new file mode 100644 index 0000000..94b5cf0 --- /dev/null +++ b/img/undraw_docusaurus_react.svg @@ -0,0 +1,170 @@ + + Powered by React + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/img/undraw_docusaurus_tree.svg b/img/undraw_docusaurus_tree.svg new file mode 100644 index 0000000..d9161d3 --- /dev/null +++ b/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/index.html b/index.html new file mode 100644 index 0000000..1519ce0 --- /dev/null +++ b/index.html @@ -0,0 +1,17 @@ + + + + + +欢迎来到 1024 TechCamp | 1024 TechCamp + + + + + + + + +

1024 TechCamp

携手成长，成就优秀工程师

了解实训营 🚀技术博客 📖
Easy to Use

开源公开

过程公开，结果开源，倒逼高质量产出。让优秀的工程师容易被看见，在真实项目中锤炼工程思维。

Focus on What Matters

AI Native

倡导 Build/Think/Code With AI，让 AI 成为你最强大的伙伴。拥抱 AI 时代，共同创造未来。

Powered by React

资深带教

资深专家全程陪跑，代码逐行审阅，架构反复推敲。坚持高工程标准，培养工匠精神。

+ + \ No newline at end of file diff --git a/markdown-page/index.html b/markdown-page/index.html new file mode 100644 index 0000000..9462141 --- /dev/null +++ b/markdown-page/index.html @@ -0,0 +1,18 @@ + + + + + +Markdown page example | 1024 TechCamp + + + + + + + + +

Markdown page example

+

You don't need React to write simple standalone pages.

+ + \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 0000000..24eb11f --- /dev/null +++ b/sitemap.xml @@ -0,0 +1 @@ +https://qiniu.github.io/techcamp/blogweekly0.5https://qiniu.github.io/techcamp/blog/archiveweekly0.5https://qiniu.github.io/techcamp/blog/authorsweekly0.5https://qiniu.github.io/techcamp/blog/tagsweekly0.5https://qiniu.github.io/techcamp/blog/tags/announcementweekly0.5https://qiniu.github.io/techcamp/blog/welcome-techcamp-websiteweekly0.5https://qiniu.github.io/techcamp/markdown-pageweekly0.5https://qiniu.github.io/techcamp/docs/contributingweekly0.5https://qiniu.github.io/techcamp/docs/introweekly0.5https://qiniu.github.io/techcamp/docs/proposalsweekly0.5https://qiniu.github.io/techcamp/weekly0.5 \ No newline at end of file diff --git a/website/.gitignore b/website/.gitignore new file mode 100644 index 0000000..b2d6de3 --- /dev/null +++ b/website/.gitignore @@ -0,0 +1,20 @@ +# Dependencies +/node_modules + +# Production +/build + +# Generated files +.docusaurus +.cache-loader + +# Misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* diff --git a/website/README.md b/website/README.md new file mode 100644 index 0000000..e007016 --- /dev/null +++ b/website/README.md @@ -0,0 +1,135 @@ +# 1024 TechCamp Website + +这是 1024 实训营的官方网站，使用 [Docusaurus](https://docusaurus.io/) 构建。 + +## 本地开发 + +### 安装依赖 + +```bash +npm install +``` + +### 启动开发服务器 + +```bash +npm start +``` + +此命令启动本地开发服务器并打开浏览器窗口。大多数更改会实时反映，无需重启服务器。 + +### 构建 + +```bash +npm run build +``` + +此命令将静态内容生成到 `build` 目录，可以使用任何静态内容托管服务提供服务。 + +## 部署 + +### GitHub Pages 自动部署 + +创建 `.github/workflows/deploy.yml` 文件（需要 workflow 权限）： + +```yaml +name: Deploy to GitHub Pages + +on: + push: + branches: + - main + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + build: + runs-on: ubuntu-latest + defaults: + run: + working-directory: website + steps: + - uses: actions/checkout@v4 + + - name: Setup Node + uses: actions/setup-node@v4 + with: + node-version: 20 + cache: npm + cache-dependency-path: website/package-lock.json + + - name: Install dependencies + run: npm ci + + - name: Build website + run: npm run build + + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: website/build + + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + runs-on: ubuntu-latest + needs: build + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 +``` + +### 手动部署 + +```bash +GIT_USER= npm run deploy +``` + +## 添加内容 + +### 添加博客文章 + +在 `blog/` 目录下创建新的 Markdown 文件： + +```markdown +--- +slug: my-post +title: 我的文章标题 +authors: [techcamp] +tags: [tag1, tag2] +--- + +文章摘要 + + + +文章正文... +``` + +### 添加文档页面 + +在 `docs/` 目录下创建新的 Markdown 文件，并在 frontmatter 中指定位置： + +```markdown +--- +sidebar_position: 4 +--- + +# 页面标题 + +页面内容... +``` + +## 许可证 + +Apache-2.0 diff --git a/website/blog/2025-01-01-welcome.md b/website/blog/2025-01-01-welcome.md new file mode 100644 index 0000000..d60a8da --- /dev/null +++ b/website/blog/2025-01-01-welcome.md @@ -0,0 +1,38 @@ +--- +slug: welcome-techcamp-website +title: "欢迎来到 1024 TechCamp 官方网站" +authors: [techcamp] +tags: [announcement] +--- + +🎉 欢迎来到全新的 1024 TechCamp 官方网站！ + + + +## 关于本站 + +1024 实训营官方网站正式上线！在这里，你可以： + +- 📖 阅读导师和学员的技术分享文章 +- 🎓 了解实训营的课程和项目 +- 💡 查看往期的技术讲座和工作坊 +- 🤝 参与开源社区的讨论和贡献 + +## 我们的愿景 + +我们致力于打造一个开放、实践、创新的工程师成长平台。通过： + +- **开源公开**：过程公开，结果开源，倒逼高质量产出 +- **AI Native**：拥抱 AI 时代，让 AI 成为最强大的伙伴 +- **资深带教**：资深专家全程陪跑，坚持高工程标准 + +## 精彩内容预告 + +即将发布的内容包括： + +- 编译器技术深度解析 +- AI 辅助开发实践经验 +- 工程实践与架构设计分享 +- 学员项目复盘与心得 + +敬请期待！🚀 diff --git "a/2025/01. \345\267\245\347\250\213\345\256\236\350\267\265\345\210\206\344\272\253 | \346\212\212\345\260\217\344\272\213\345\201\232\345\245\275/202504-builder-articles.md" b/website/blog/2025-01-15-engineering-practice-doing-small-things-well.md similarity index 87% rename from "2025/01. \345\267\245\347\250\213\345\256\236\350\267\265\345\210\206\344\272\253 | \346\212\212\345\260\217\344\272\213\345\201\232\345\245\275/202504-builder-articles.md" rename to website/blog/2025-01-15-engineering-practice-doing-small-things-well.md index 786d70a..f04780a 100644 --- "a/2025/01. \345\267\245\347\250\213\345\256\236\350\267\265\345\210\206\344\272\253 | \346\212\212\345\260\217\344\272\213\345\201\232\345\245\275/202504-builder-articles.md" +++ b/website/blog/2025-01-15-engineering-practice-doing-small-things-well.md @@ -1,4 +1,11 @@ -# 工程实践分享 | 把小事做好 +--- +slug: engineering-practice-doing-small-things-well +title: "工程实践分享 | 把小事做好" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, compiler, engineering, go, tutorial] +date: 2025-01-15 +description: "在日前举办的第三期 1024 实训营结营成果展示会上，导师杨寒星基于同学们的展示，分享了他的一些看法，也阐述了为什么做好小事对开发者的个人成长具有积极的意义。" +--- 在工程实践中，做好小事非常重要。 @@ -7,20 +14,20 @@ * 杨寒星 GitHub：https://github.com/nighca ## 一些启发 -![pic-1](202504-builder-articles/11111.png) +![pic-1](/img/blog/engineering-practice-doing-small-things-well/11111.png) 要在3个月内实现Go+ Builder向导系统，这是一个复杂且工作量巨大的任务。同学们需要涵盖从调研到设计再到实现的整个流程。而且，Go+ Builder项目已有一定基础，需在此基础上进行设计、添加功能和编写代码，必然会面对一定的复杂性。此外，同学们还需在实现过程中解决许多具体问题（例如，如何实现代码检测）。 这个过程对我也有一些启发。以代码检测为例，我们在设计这一功能时，考虑过逐字符匹配、正则表达式，甚至通过编译器解析代码并检查抽象语法树（AST）来判断用户输入是否正确。经过多种方案的思考，我们最终想到利用大模型解决这个问题。这是一个典型的例子，展示了大模型如何改变我们既有的交互范式，进而影响我们解决问题的方式。 ## 把小事做好 -![pic-2](202504-builder-articles/22222.png) +![pic-2](/img/blog/engineering-practice-doing-small-things-well/22222.png) 这次实训过程，因为时间紧、任务重，我们在过程中对很多“似乎暂时不影响功能实现”的细节关注得并不多，但今天我想借这个机会再来分享一下，我是如何看待这些“小的事情”的。 小事是指哪些事情呢？它可能包括：是否在设计/产品/技术文档中进行了精准的表述、文档的格式细节是否正确、每个模块在集成之前是否做了充分的自测、代码中的实例在生命周期结束时其副作用是否被正确清理、类型安全问题、在做复杂客户端应用时经常面临的时序问题等等。 -![pic-3](202504-builder-articles/33333.png) +![pic-3](/img/blog/engineering-practice-doing-small-things-well/33333.png) 无论是文档方面，还是代码方面，这些“小事”暂时不处理似乎也没什么问题，反正项目可以继续、功能也能实现、用户也能使用，但其实，把小事做好，无论是对项目，还是对个人，都是很有意义的。今天，我们主要谈谈，“把小事做好”对个人的积极意义。 diff --git a/website/blog/2025-01-17-engineering-practice-coding-first-step.md b/website/blog/2025-01-17-engineering-practice-coding-first-step.md new file mode 100644 index 0000000..6ec4c87 --- /dev/null +++ b/website/blog/2025-01-17-engineering-practice-coding-first-step.md @@ -0,0 +1,72 @@ +--- +slug: engineering-practice-coding-first-step +title: "工程实践分享｜“写代码”不是第一步！" +authors: [techcamp] +tags: [ai, architecture, best-practices, compiler, engineering, go, llgo] +date: 2025-01-17 +description: "在 2025 年 4 月 7 日晚举办的第三期 1024 实训营结营成果展示会上，来自七牛云 Go+ 团队的技术专家、Goproxy.cn 开源项目作者、大学生创业者、连续创业者盛傲飞，作为 LLPkgStore 小组的带教导师，为同学们带来了一场极具启发性的项目总结分享——以过去三个月实训项目为蓝..." +--- + +## 引言 + +在 2025 年 4 月 7 日晚举办的第三期 1024 实训营结营成果展示会上，来自七牛云 Go+ 团队的技术专家、Goproxy.cn 开源项目作者、大学生创业者、连续创业者盛傲飞，作为 LLPkgStore 小组的带教导师，为同学们带来了一场极具启发性的项目总结分享——以过去三个月实训项目为蓝本，阐述了软件开发实践中"写代码不是第一步"的核心命题，并针对本次实训项目开展了一段小结性质的内容分享。 + +- 盛傲飞 GitHub 个人主页：https://github.com/aofei + +## “写代码”不是第一步 + +![RUNOOB 图标](/img/blog/engineering-practice-coding-first-step/导师总结分享的PPT模板_01.png) +实训过程中，让我印象挺深的是，同学们接到任务后，比起先进行设计或讨论，普遍都更偏好直接开始写代码。这看起来非常“积极主动”，但后面发现这会带来重复返工、接口没对上、理解不统一等各类问题。 + +并不是说写得快就是不好的，我自己以前也经常这么干。但慢慢地，我会意识到，写代码不应该是第一步。 + +尤其是现在我们身处 AI 时代，GitHub Copliot、Cursor 等各类 AI 编程工具，已大幅降低了写代码的门槛。于是，“怎么写”已经不是最大的问题了，反倒是“写什么”、“怎么设计”这些问题变得更难、也更重要。 + +很多时候，真正要花时间动脑子的，是写代码之前的那部分工作——我们到底要解决什么问题、输入输出是什么、和其他模块该怎么协作、以及什么才是更简单或更合适的解决方案等。 + +同学们可以尝试养成一个小习惯，哪怕只是写一页草稿，也要提前把目标、输入/输出接口这些问题想清楚，这能帮你省下很多后续的沟通成本、返工时间。这不仅是为了更好的交付，也是一种更顺畅的团队合作方式。没画图纸就盖楼，盖得快，也塌得快。有时候一开始慢一点点，其实能让你走得更稳，也走得更远。 + +## 项目小结：依赖管理，不必重头来过 + +![RUNOOB 图标](/img/blog/engineering-practice-coding-first-step/导师总结分享的PPT模板_02.png) +另外，我想针对本次课题做一个小结性质的内容分享。 + +在 LLPkgStore 这个项目中，我们面对的第一个挑战是 C/C++ 库的依赖到底该怎么管理？这类库不像 Go 生态那样有统一的版本规范、标准的模块机制，甚至有时候连个固定格式的版本号都没有。一开始我们想过是不是该从 0 开始去设计一套全新的依赖管理系统，彻底推翻重来。但最后，我们还是选择了不另起炉灶，而是在 Go Modules 的机制之上做延展。 + +这个决策的出发点其实挺简单的： + +（一）Go Modules 已经解决了依赖管理中最核心的一些问题，比如它有清晰的版本语义模型（SemVer + MVS），为我们提供了基础保障的约束版本演进的逻辑。 + +（二）它的工具链非常完善，像是 Go Get、Go List、Go Module Proxy 等都是现成能用的，开发者也都对它们非常熟悉，这意味着迁移成本非常低，学习门槛也非常低。 + +（三）还有比较重要的一点，它具备天然的对可复现构建的支持。我们特别想强调一下，没有可复现构建保证的系统，其实本质上不能算是一个真正的依赖管理系统。如果一个系统今天构建得出来，明天因为网络、下游变动等变量因素就构建不出来了，或者说构出来的内容不一样了，那它就完全不具备可被信任的基础。Go Modules 的版本号、代码快照、构建路径都固定下来了，本质上是为了让每次构建都是可验证的，可复现的。这是我们在做跨语言依赖管理时，必须要继承下来的一个底线！ + +我们希望把 Go Modules 当做一个稳定的地基，在上面做一些针对性的增强。我们做了三件事： + +（一）引入了 LLPkg 这个概念，把 C/C++ 库封装成 Go Modules 的风格的单元，统一了消费方式。 + +（二）为官方 LLPkg 设计了 llpkgstore.json 映射机制，在一定程度上弥补了 C/C++ 库原始版本号混乱的问题。 + +（三）构建了一套自动验证、构建与分发的工作流，补上了 Go Modules 无法覆盖的那部分，比如，二进制管理。 + +所以，我们并没有从 0 开始写一套全新的东西，而是搞清楚什么是已有系统里真正有价值的部分，然后在它之上构建新的能力——我们不是在重新造轮子，而是让轮子跑得更远。 + +## 附：LLPkgStore 项目简介 + +本期实训营的同学们围绕「LLGo 依赖管理」展开探索，重点讨论如何让 LLGo 能像管理普通 Go 包一样来管理 C/C++ 库。 + +在本次实训中，同学们提出了 LLPkgStore 方案，通过维护版本映射表、引入多层验证与可复现性构建，并结合 C/C++ 专用的二进制管理器（Conan），尝试为 LLGo 构建更完善的依赖管理机制。最终目标是让 LLGo 开发者能更加便捷地使用和分发 C/C++ 库，为跨语言开发带来更多可能。 + +从依赖版本的语义化转换，到官方/第三方包的分发与安全审计，再到自动化的构建测试流程，本期实训营通过一系列实战与迭代，搭建起了 LLGo 的全新生态雏形。未来，随着更多工具链和社区力量的加入，LLGo 有望进一步打破语言边界，成为跨语言开发的一站式解决方案。 + +- LLGo 官方仓库：https://github.com/goplus/llgo + +- LLPkgStore 工具链仓库：https://github.com/goplus/llpkgstore + +- LLPkg 产物仓库：https://github.com/goplus/llpkg + +更多实训项目详情与干货分享，欢迎点击「阅读原文」， + +或在 B 站搜索「七牛云」官方账号， + +观看「1024 实训营（第三期）」视频合集。 diff --git "a/2025/02. \345\267\245\347\250\213\345\256\236\350\267\265\345\210\206\344\272\253\357\275\234\342\200\234\345\206\231\344\273\243\347\240\201\342\200\235\344\270\215\346\230\257\347\254\254\344\270\200\346\255\245\357\274\201/llkgstore-summary.md" b/website/blog/2025-01-17-engineering-practice-coding-is-not-first-step.md similarity index 88% rename from "2025/02. \345\267\245\347\250\213\345\256\236\350\267\265\345\210\206\344\272\253\357\275\234\342\200\234\345\206\231\344\273\243\347\240\201\342\200\235\344\270\215\346\230\257\347\254\254\344\270\200\346\255\245\357\274\201/llkgstore-summary.md" rename to website/blog/2025-01-17-engineering-practice-coding-is-not-first-step.md index 4f20309..e76fe67 100644 --- "a/2025/02. \345\267\245\347\250\213\345\256\236\350\267\265\345\210\206\344\272\253\357\275\234\342\200\234\345\206\231\344\273\243\347\240\201\342\200\235\344\270\215\346\230\257\347\254\254\344\270\200\346\255\245\357\274\201/llkgstore-summary.md" +++ b/website/blog/2025-01-17-engineering-practice-coding-is-not-first-step.md @@ -1,4 +1,19 @@ -# 工程实践分享｜“写代码”不是第一步！ +--- +slug: engineering-practice-coding-is-not-first-step +title: 工程实践分享｜“写代码”不是第一步！ +authors: +- techcamp +tags: +- ai +- architecture +- compiler +- engineering +- go +- llgo +date: 2025-01-17 +description: 在 2025 年 4 月 7 日晚举办的第三期 1024 实训营结营成果展示会上，来自七牛云 Go+ 团队的技术专家、Goproxy.cn + 开源项目作者、大学生创业者、连续创业者盛傲飞，作为 LLPkgStore 小组的带教导师，为同学们带... +--- ## 引言 @@ -8,7 +23,7 @@ ## “写代码”不是第一步 -![RUNOOB 图标](导师总结分享的PPT模板_01.png) +![RUNOOB 图标](/img/blog/工程实践分享写代码不是第一步/导师总结分享的PPT模板_01.png) 实训过程中，让我印象挺深的是，同学们接到任务后，比起先进行设计或讨论，普遍都更偏好直接开始写代码。这看起来非常“积极主动”，但后面发现这会带来重复返工、接口没对上、理解不统一等各类问题。 并不是说写得快就是不好的，我自己以前也经常这么干。但慢慢地，我会意识到，写代码不应该是第一步。 @@ -21,7 +36,7 @@ ## 项目小结：依赖管理，不必重头来过 -![RUNOOB 图标](导师总结分享的PPT模板_02.png) +![RUNOOB 图标](/img/blog/工程实践分享写代码不是第一步/导师总结分享的PPT模板_02.png) 另外，我想针对本次课题做一个小结性质的内容分享。 在 LLPkgStore 这个项目中，我们面对的第一个挑战是 C/C++ 库的依赖到底该怎么管理？这类库不像 Go 生态那样有统一的版本规范、标准的模块机制，甚至有时候连个固定格式的版本号都没有。一开始我们想过是不是该从 0 开始去设计一套全新的依赖管理系统，彻底推翻重来。但最后，我们还是选择了不另起炉灶，而是在 Go Modules 的机制之上做延展。 diff --git "a/2025/03. \345\220\214\345\255\246\357\274\214\344\270\272\344\273\200\344\271\210\346\210\221\345\273\272\350\256\256\344\275\240\345\205\263\346\263\250 1024 \345\256\236\350\256\255\350\220\245\357\274\237/whycamp.md" b/website/blog/2025-01-19-why-you-should-join-1024-techcamp.md similarity index 74% rename from "2025/03. \345\220\214\345\255\246\357\274\214\344\270\272\344\273\200\344\271\210\346\210\221\345\273\272\350\256\256\344\275\240\345\205\263\346\263\250 1024 \345\256\236\350\256\255\350\220\245\357\274\237/whycamp.md" rename to website/blog/2025-01-19-why-you-should-join-1024-techcamp.md index e596845..7f9cc38 100644 --- "a/2025/03. \345\220\214\345\255\246\357\274\214\344\270\272\344\273\200\344\271\210\346\210\221\345\273\272\350\256\256\344\275\240\345\205\263\346\263\250 1024 \345\256\236\350\256\255\350\220\245\357\274\237/whycamp.md" +++ b/website/blog/2025-01-19-why-you-should-join-1024-techcamp.md @@ -1,12 +1,19 @@ -# 同学，为什么我建议你关注 1024 实训营？ +--- +slug: why-you-should-join-1024-techcamp +title: "同学，为什么我建议你关注 1024 实训营？" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, compiler, engineering, go, llgo, xgo] +date: 2025-01-19 +description: "2023 年底，我幸运地通过 1024 创作节获得了参加第一届 1024 实训营的机会,这次经历彻底改变了我对技术学习和职业发展的认知。" +--- 2023 年底，我幸运地通过 1024 创作节获得了参加第一届 1024 实训营的机会,这次经历彻底改变了我对技术学习和职业发展的认知。 与其他公司的实习不同，七牛云的实训营不是简单地让我们熟悉业务或写代码，而是提供了一个完整的项目实战机会。在实训营中，我们完整经历了技术选型、需求分析、架构梳理、模块拆分、实际编码测试，最终到上线和路演的整个软件开发生命周期。这种全方位的实战体验，让我第一次深刻理解了 1024 实训营"实践驱动成长"的培养理念。 -实训过程中最令我印象深刻的是导师们对工程质量的极致追求。一个 PR 经常被来回 review 三四十条 comment，比如 和 。从前端构建过程到代码实现、从工程规范到部署落地，导师们以几乎"苛刻"的态度对待每一个技术细节。这种严谨的工程文化深深影响了我，至今在我的工作中，我仍然保持着对 PR 质量的高标准要求。 +实训过程中最令我印象深刻的是导师们对工程质量的极致追求。一个 PR 经常被来回 review 三四十条 comment，比如 [PR#122](https://github.com/goplus/builder/pull/122) 和 [PR#96](https://github.com/goplus/builder/pull/96)。从前端构建过程到代码实现、从工程规范到部署落地，导师们以几乎"苛刻"的态度对待每一个技术细节。这种严谨的工程文化深深影响了我，至今在我的工作中，我仍然保持着对 PR 质量的高标准要求。 -![pr-review](pr-review.png) +![pr-review](/img/blog/why-you-should-join-1024-techcamp/pr-review.png) 在接口设计阶段，导师们也不会简单地告诉我们“应该怎么做”，而是引导我们思考：这个接口的核心需求是什么？未来可能如何演变？当前设计是否存在潜在问题？这种启发式的教学方式培养了我的系统思维能力和前瞻性设计意识，受益匪浅。 @@ -18,7 +25,7 @@ 每一层技术挑战都有实力强悍的导师耐心指导。这种阶梯式的学习路径让每个人都能找到适合自己的成长方向。 -目前我正在负责 XGo 的底层编译器 LLGo 的子项目——llcppg，旨在自动生成 C/C++ 库的 LLGo Binding。通过这个项目，我不仅更深入理解了 C 编译器工作原理，也更理解了不同语言在设计其语法特性时的思考，还经常能从这一角的开源实践，窥探到整个软件工程的历史。在开发过程中也经常会得到导师们的经验上的分享、以及在架构设计方面的持续指导，这段经历成为我技术成长的重要里程碑。对于该工程的相关技术细节我专门写了一篇文章分享（），项目代码也已开源在 GitHub（），欢迎沟通交流。 +目前我正在负责 XGo 的底层编译器 LLGo 的子项目——llcppg，旨在自动生成 C/C++ 库的 LLGo Binding。通过这个项目，我不仅更深入理解了 C 编译器工作原理，也更理解了不同语言在设计其语法特性时的思考，还经常能从这一角的开源实践，窥探到整个软件工程的历史。在开发过程中也经常会得到导师们的经验上的分享、以及在架构设计方面的持续指导，这段经历成为我技术成长的重要里程碑。对于该工程的相关技术细节我专门写了一篇文章分享（[https://mp.weixin.qq.com/s/cx9F5lYKyxwvFpokicJ8Yw](https://mp.weixin.qq.com/s/cx9F5lYKyxwvFpokicJ8Yw)），项目代码也已开源在 GitHub（[https://github.com/goplus/llcppg](https://github.com/goplus/llcppg)），欢迎沟通交流。 可以说，实训营的经历直接影响了我现在的工作方式： diff --git "a/2025/04. \345\275\223 AI \350\203\275\345\206\231\344\273\243\347\240\201\357\274\214\345\267\245\347\250\213\345\270\210\347\232\204\346\240\270\345\277\203\347\253\236\344\272\211\345\212\233\346\230\257\344\273\200\344\271\210\357\274\237/ai-related-engineer.md" b/website/blog/2025-01-21-engineer-core-competitiveness-in-ai-era.md similarity index 92% rename from "2025/04. \345\275\223 AI \350\203\275\345\206\231\344\273\243\347\240\201\357\274\214\345\267\245\347\250\213\345\270\210\347\232\204\346\240\270\345\277\203\347\253\236\344\272\211\345\212\233\346\230\257\344\273\200\344\271\210\357\274\237/ai-related-engineer.md" rename to website/blog/2025-01-21-engineer-core-competitiveness-in-ai-era.md index 5af0b56..23e4dc3 100644 --- "a/2025/04. \345\275\223 AI \350\203\275\345\206\231\344\273\243\347\240\201\357\274\214\345\267\245\347\250\213\345\270\210\347\232\204\346\240\270\345\277\203\347\253\236\344\272\211\345\212\233\346\230\257\344\273\200\344\271\210\357\274\237/ai-related-engineer.md" +++ b/website/blog/2025-01-21-engineer-core-competitiveness-in-ai-era.md @@ -1,4 +1,11 @@ -# 当 AI 能写代码，工程师的核心竞争力是什么？ +--- +slug: engineer-core-competitiveness-in-ai-era +title: "当 AI 能写代码，工程师的核心竞争力是什么？" +authors: [techcamp] +tags: [ai, architecture, career, engineering] +date: 2025-01-21 +description: "Programming is changing so fast。" +--- Programming is changing so fast。 diff --git "a/2025/05. \346\210\221\347\234\274\344\270\255\347\232\204\344\274\230\347\247\200\345\267\245\347\250\213\345\270\210\347\211\271\350\264\250/to-be-better-engineer.md" b/website/blog/2025-01-23-qualities-of-excellent-engineers.md similarity index 90% rename from "2025/05. \346\210\221\347\234\274\344\270\255\347\232\204\344\274\230\347\247\200\345\267\245\347\250\213\345\270\210\347\211\271\350\264\250/to-be-better-engineer.md" rename to website/blog/2025-01-23-qualities-of-excellent-engineers.md index 28ddf14..7f066ad 100644 --- "a/2025/05. \346\210\221\347\234\274\344\270\255\347\232\204\344\274\230\347\247\200\345\267\245\347\250\213\345\270\210\347\211\271\350\264\250/to-be-better-engineer.md" +++ b/website/blog/2025-01-23-qualities-of-excellent-engineers.md @@ -1,4 +1,11 @@ -# 我眼中的优秀工程师特质 +--- +slug: qualities-of-excellent-engineers +title: "我眼中的优秀工程师特质" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, engineering] +date: 2025-01-23 +description: "在工作中我们会遇到各种各样的工程师，优秀的工程师会让项目的进展更顺利、产品的质量更有保障，与他们的合作也会让人感到愉快。" +--- 在工作中我们会遇到各种各样的工程师，优秀的工程师会让项目的进展更顺利、产品的质量更有保障，与他们的合作也会让人感到愉快。 diff --git "a/2025/06. \344\270\200\350\241\214\344\271\213\345\267\256\357\274\232\344\270\272\344\273\200\344\271\210\344\275\240\347\232\204\346\226\207\344\273\266\346\234\253\345\260\276\345\272\224\350\257\245\347\225\231\344\270\200\344\270\252\347\251\272\350\241\214\357\274\237/newline-at-eof.md" b/website/blog/2025-01-25-why-end-files-with-newline.md similarity index 91% rename from "2025/06. \344\270\200\350\241\214\344\271\213\345\267\256\357\274\232\344\270\272\344\273\200\344\271\210\344\275\240\347\232\204\346\226\207\344\273\266\346\234\253\345\260\276\345\272\224\350\257\245\347\225\231\344\270\200\344\270\252\347\251\272\350\241\214\357\274\237/newline-at-eof.md" rename to website/blog/2025-01-25-why-end-files-with-newline.md index 9bd0413..0284490 100644 --- "a/2025/06. \344\270\200\350\241\214\344\271\213\345\267\256\357\274\232\344\270\272\344\273\200\344\271\210\344\275\240\347\232\204\346\226\207\344\273\266\346\234\253\345\260\276\345\272\224\350\257\245\347\225\231\344\270\200\344\270\252\347\251\272\350\241\214\357\274\237/newline-at-eof.md" +++ b/website/blog/2025-01-25-why-end-files-with-newline.md @@ -1,6 +1,13 @@ -# 一行之差：为什么你的文件末尾应该留一个空行？ - -> ![github-no-nl-marker](github-no-nl-marker.png) +--- +slug: why-end-files-with-newline +title: "一行之差：为什么你的文件末尾应该留一个空行？" +authors: [techcamp] +tags: [ai, best-practices, engineering, go] +date: 2025-01-25 +description: "> ![github-no-nl-marker](github-no-nl-marker.png)" +--- + +> ![github-no-nl-marker](/img/blog/why-end-files-with-newline/github-no-nl-marker.png) > > “咦？怎么 GitHub PR 里多了个 ⛔️ 小红标？” > diff --git a/website/blog/2025-01-27-type-system-understanding-xgo-compiler-implementation.md b/website/blog/2025-01-27-type-system-understanding-xgo-compiler-implementation.md new file mode 100644 index 0000000..b05906b --- /dev/null +++ b/website/blog/2025-01-27-type-system-understanding-xgo-compiler-implementation.md @@ -0,0 +1,221 @@ +--- +slug: type-system-understanding-xgo-compiler-implementation +title: "从类型系统理解 XGo 编译器的实现" +authors: [techcamp] +tags: [ai, architecture, career, compiler, engineering, go, llgo, xgo] +date: 2025-01-27 +description: "编程语言的类型系统可以分为编译时类型系统（程序编译阶段进行静态类型检查的机制）和运行时类型系统（程序执行期间动态管理类型信息的机制）。" +--- + +编程语言的类型系统可以分为编译时类型系统（程序编译阶段进行静态类型检查的机制）和运行时类型系统（程序执行期间动态管理类型信息的机制）。 +从类型系统角度来看，XGo 兼容 Go 编译时类型系统，LLGo 兼容 C 运行时类型系统，iXGo 兼容 Go 运行时类型系统。 + +- 七叶 GitHub 个人主页：[https://github.com/visualfc](https://github.com/visualfc) + +XGo 语言类型系统设计与 Go 语言类似，融合了静态类型系统，强类型和部分动态类型的特性。 +相比 Go 语言，XGo 实现了更加灵活的表达式类型推导机制，并通过 Classfile 和 领域文本功能 来简化使用。 + +XGo 编译器从宏观上可分为两层，一层是 XGo 语言的编译器，负责 XGo 源码到 Go 源码的转换； +一层是 Go 语言的编译器，负责 Go 源码的编译，可以使用 Go 语言官方编译器，LLGo 编译器，TinyGo 编译器，iXGo 解释器。 + +本文重点关注的是 XGo 语言编译器，从编译时类型系统角度来理解 XGo 编译器的实现。 + +### XGo 语言编译器执行流程 + +[https://github.com/goplus/xgo](https://github.com/goplus/xgo) + +XGo 语言编译器的作用是将 XGo 源代码转换为 Go 源代码，但非单纯的源码直接转换方式实现， +而是通过 AST （抽象语法树）转换实现，即 `XGo 源码 => XGo AST => Go AST => Go 源码` 的方式实现。 + +- XGo 源码 => XGo AST 转换 + +XGo 编译器通过 Scanner（词法分析）和 Parser (语法分析) 将 XGo 源码转换为 XGo AST。 + +Scanner（词法分析器）是编译器的第一个阶段，负责将 XGo 源码字符流转换为有意义的词法单元（Token）序列，供后续的语法分析器（Parser）使用。 + +Parser（语法分析器）是编译器的第二个阶段，负责将 Token 序列转换为 AST（抽象语法树），检查代码结构是否符合语法规则，并报告语法错误。 + +- XGo AST => Go AST => Go 源码 转换 + +通过语法分析得到的 XGo AST 只是保证了语法规则正确，还需要检查语义是否正确。这个阶段将 XGo AST 转换为 Go AST，同时对 XGo AST 的类型进行静态类型检查，对表达式进行类型推导，并报告语义错误。 + +XGo 项目将 Go AST 的生成作为一个独立的项目实现，[https://github.com/goplus/gogen](https://github.com/goplus/gogen) ，`gogen` 同时还负责静态类型检查，提供了对 Go AST 的类型推断、类型检查、函数匹配、接口实现验证等功能。 +XGo 编译器通过 `gogen` 将 XGo AST 转换为 Go AST，同时检查语义是否正确，并报告语义错误。 +最终由 `gogen` 将 Go AST 转换为 Go 源码输出。 + +### XGo 编译器类型系统 + +XGo 源码能够转换为 Go 源码，本质原因在于 XGo 的类型系统与 Go 类型系统完全兼容，这样将 XGo AST 转换为 Go AST 时，语义能够保持一致性。 +也正是由于类型完全兼容，所以 Go 源码也能够转换为 XGo 样式的源码，语义保持不变。 + +- XGo 类型系统 + +XGo 语言的基础类型和复合类型与 Go 语言保持一致 + +基础类型： +``` +bool +int int8 int16 int32 int64 +uint uint8 uint16 uint32 uint64 uintptr +float32 float64 +complex64 complex128 +unsafe.Pointer +``` +复合类型： +``` +array chan func interface map pointer slice string struct +``` + +XGo 内置的大数支持类型在底层上与 Go 数据类型兼容 +``` +XGo Go +int128 => struct{ hi int64; lo int64} +uint128 => struct{ hi uint64; lo uint64} +bigint => big.Int +bigrat => big.Rat +``` + +XGo 的 Classfile 文件系统底层实现与 Go 结构体兼容 +``` +// Point.gox +var ( + x int + y int +) +``` +等价于 +``` +// point.go +type Point struct { + x int + y int +} +``` + +### XGo 编译器类型检查和类型推导 + +XGo 编译器在将 XGo AST 转换为 Go AST 过程中通过 `gogen` 对 AST 节点进行类型标记和类型检查，确定语义正确性，对函数参数进行匹配，判断接口断言等是否正确，如果出现错误则给出语义错误信息。 + +XGo 相比 Go 具有更加灵活的表达式类型推导能力，通过静态类型推导，可以将 List/Map 表达式或者 Lambda 表达式推导出实际类型以便与 Go 类型系统兼容。 + +- List Literals（列表字面量） + +通过 List 中的常量表达式推导 List 类型 + +`[1, 2, 3, 4]` => `[]int{1, 2, 3, 4}` + +`[1, "XGo"]` => `[]any{1, "XGo"}` + +也可通过 List 中的变量类型推导 List 类型 + +``` +var i int +echo type([i]) +// Output: []int +``` + +- Map Literals（映射字面量） + +通过 Map 中的常量表达式推导 Map 类型 + +`{1: "XGo", 2: "LLGo"}` => `map[int]string{1: "XGo", 2: "LLGo"}` + +`{1: "XGo", 2: 1.2}` => `map[int]any{1: "XGo", 2: 1.2}` + +也可通过 Map 中的变量类型推导 Map 类型 + +``` +var k int; +var m string; +echo type({k:m}) +// Output: map[int]string +``` + +- List Comprehension (列表推导) + +通过把循环语句和条件判断等操作融合在一行代码内，快速生成符合特定条件的 List 元素，并推导 List 类型 + +``` +odds := [x for x in 1:10:2] +echo odds, type(odds) +// Output: [1 3 5 7 9] []int +``` + +- Map Comprehension (映射推导) + +通过把循环语句和条件判断等操作融合在一行代码内，快速生成符合特定条件的 Map 元素，并推导 Map 类型。 + +``` +x := {x: i for i, x <- [1, 3, 5, 7, 11]} +echo x, type(x) +// Output: map[1:0 3:1 5:2 7:3 11:4] map[int]int +``` + +- Lambda Expressions（匿名函数表达式） + +在 XGo 中 Lambda 表达式的使用能够简化代码，XGo 编译器根据函数原始定义来推导 Lambda 表达式中的类型。 + +对于下面这个例子中 `transform([1, 2, 3], x => x*x)` 根据 transform 函数定义进行推导，可推导出 `[1, 2, 3]` 类型为 `[]float64`，推导出 `x` 的类型为 float64，这样这行代码将转换为 Go 语言的 `transform([]float64{1, 2, 3}, func(x float64) float64 { return x*x })`。 + +``` +func transform(a []float64, f func(float64) float64) []float64 { + return [f(x) for x in a] +} + +echo transform([1, 2, 3], x => x*x) +// Output: [1 4 9] + +echo transform([-3, 1, -5], x => { + if x < 0 { + return -x + } + return x +}) +// Output: [3 1 5] +``` + +如果将 XGo 的 Lambda 表达式与 Go 语言的泛型函数组合可以实现更强的语法表达能力。（_注：XGo 本身不支持泛型定义，但可以引用 Go 语言泛型定义。_） + +下面这个例子中 `transform[T]` 是由 `transform.go` 定义的一个泛型函数， `main.xgo` 中的 `transform([1, 2, 3], x => x*x)` 语句是在泛型函数中使用 Lambda 表达式， 由于 `transform[T]` 没有参数实例化，无法确定泛型参数 `T` 的类型，所以这里会对 `transform` 函数和参数产生多轮推导，在第一轮推导中，首先推导第一个参数 `[1, 2, 3]` 的类型为 `[]int`，忽略第二个参数 lambda 表达式类型，之后依据`transform[T]`函数的第一个参数为 `[]int` 对泛型函数 `transform[T]`的泛型参数类型进行推断，推断 `T` 的类型为 `int`，之后可以对 `transform[T]` 进行实例化为 `transform[int]`。实例化后进行第二轮推导，在本轮中根据 `transform[int]` 的第二个参数类型 `func(int) int` 可推断 lambda 表达式 `x => x*x` 中的 `x` 类型为 `int`。最终这行代码被转换为 Go 语言的 `transform[int]([]int{1, 2, 3}, func(x int) int { return x*x })`。 + +``` +-- transform.go -- +package main + +func transform[T any](a []T, f func(T) T) ([]T) { + out := make([]T, len(a)) + for i, x := range a { + out[i] = f(x) + } + return out +} + +-- main.xgo -- + +echo transform([1, 2, 3], x => x*x) +// Output: [1 4 9] + +echo transform([-3, 1, -5], x => { + if x < 0 { + return -x + } + return x +}) +// Output: [3 1 5] +``` + +类似上面这种带有多个参数的复杂函数进行调用时可能会进行多轮推断，如对于泛型函数的参数需要进行参数推断和实例化处理。 +而对于 XGo 支持的重载函数的选择需要根据参数个数和参数类型进行类型匹配和类型推导，同样需要进行多轮推断以选择出正确的重载函数，或者是由于匹配失败给出语义错误信息。 + +表达式类型推导的最终目的是将 XGo 支持的表达式推导出正确的类型以能够明确的转换为对应的 Go 源码。 + +### 总结 +本文从类型系统的角度出发，简要分析了 XGo 编译器的执行流程、类型系统设计及其类型检查和推导机制。 +XGo 通过其精心设计的编译时类型系统和表达式类型推导机制，不仅确保了与 Go 类型系统的完全兼容性， +还保障了从 XGo AST 到 Go AST 转换过程中语义的准确无误。 +同时，其类型推导机制在保持类型安全的前提下，简化了语法，提升了开发效率。 + +如果你对 XGo 的类型系统实现细节感兴趣，欢迎深入查阅其源码仓库 [https://github.com/goplus/xgo](https://github.com/goplus/xgo)，探索更多技术细节。 +对于类型系统的设计权衡，你认为在静态类型和动态类型之间，是否存在一种更优的融合方式？ +在性能与表达力之间，XGo 的类型系统还有哪些可以优化的空间？ +我们期待你的留言和探讨，共同推动编程语言技术的发展。 diff --git "a/2025/07.\344\273\216\347\261\273\345\236\213\347\263\273\347\273\237\347\234\213XGo\347\274\226\350\257\221\345\231\250\347\232\204\345\256\236\347\216\260/typesystem_xgo.md" b/website/blog/2025-01-27-understanding-xgo-compiler-through-type-system.md similarity index 95% rename from "2025/07.\344\273\216\347\261\273\345\236\213\347\263\273\347\273\237\347\234\213XGo\347\274\226\350\257\221\345\231\250\347\232\204\345\256\236\347\216\260/typesystem_xgo.md" rename to website/blog/2025-01-27-understanding-xgo-compiler-through-type-system.md index 4ac5e58..da02cb9 100644 --- "a/2025/07.\344\273\216\347\261\273\345\236\213\347\263\273\347\273\237\347\234\213XGo\347\274\226\350\257\221\345\231\250\347\232\204\345\256\236\347\216\260/typesystem_xgo.md" +++ b/website/blog/2025-01-27-understanding-xgo-compiler-through-type-system.md @@ -1,4 +1,20 @@ -# 从类型系统理解 XGo 编译器的实现 +--- +slug: understanding-xgo-compiler-through-type-system +title: 从类型系统理解 XGo 编译器的实现 +authors: +- techcamp +tags: +- ai +- architecture +- career +- compiler +- engineering +- go +- llgo +- xgo +date: 2025-01-27 +description: 编程语言的类型系统可以分为编译时类型系统（程序编译阶段进行静态类型检查的机制）和运行时类型系统（程序执行期间动态管理类型信息的机制）。 +--- 编程语言的类型系统可以分为编译时类型系统（程序编译阶段进行静态类型检查的机制）和运行时类型系统（程序执行期间动态管理类型信息的机制）。 从类型系统角度来看，XGo 兼容 Go 编译时类型系统，LLGo 兼容 C 运行时类型系统，iXGo 兼容 Go 运行时类型系统。 diff --git a/website/blog/2025-01-29-ai-reshaping-software-development-paradigm-shift.md b/website/blog/2025-01-29-ai-reshaping-software-development-paradigm-shift.md new file mode 100644 index 0000000..f4c64cb --- /dev/null +++ b/website/blog/2025-01-29-ai-reshaping-software-development-paradigm-shift.md @@ -0,0 +1,50 @@ +--- +slug: ai-reshaping-software-development-paradigm-shift +title: AI 重构软件开发：从工具到规则的范式革命 +authors: +- techcamp +tags: +- ai +- architecture +- career +- engineering +date: 2025-01-29 +description: 在 AI 飞速发展的 2025 年，我们正处于一个全新的时代转折点上。在这背景下，软件开发领域也正面临着一场前所未有的变革。 +--- + +在 AI 飞速发展的 2025 年，我们正处于一个全新的时代转折点上。在这背景下，软件开发领域也正面临着一场前所未有的变革。 + +在过去传统的开发流程，从需求分析、设计、编码、测试到部署，每一个环节都耗费大量的人力和时间成本，但随着 AI 技术的不断成熟，它正在重塑开发新流程，为开发者带来了全新的思路和方法，让软件开发变得更加高效、智能和创新。 + +## 需求分析 + +在传统软件开发中，需求分析通常依赖人工访谈、文档梳理和头脑风暴，存在需求遗漏、理解偏差、优先级冲突等问题。AI 的介入将这一过程转变为更加智能、高效、准确的新型模式。 + +AI 可以帮助分析用户反馈和行为数据，自动识别潜在需求；能够快速梳理大量文档，提取关键信息，生成结构化的需求文档；还可以通过分析用户行为模式和业务场景，帮助评估需求的优先级和可行性。这种 AI 辅助的需求分析模式，不仅提高了效率，更重要的是减少了人为因素导致的需求理解偏差。 + +## 设计 + +在传统软件开发中，设计主要是定架构，而定架构主要分为：需求概要、分模块（职责/定位）、模块规格、用户故事串模块、实现等。而将大需求拆解为小模块，这个过程实际上是非常困难的，在过去系统设计主要依赖架构师的个人经验，现在开发者可以同 AI 人机协同（AI 生成 → 人工校验 → 反馈优化）来提高架构的合理性。 + +我特别推荐大家在架构设计阶段多多使用 AI，就像能站在巨人的肩膀上做决策一样。AI 能够基于行业最佳实践和设计模式，为新的需求提供架构建议和方案推荐，让我们不必从零开始摸索；同时，AI 还能够分析系统的复杂度和依赖关系，帮助识别潜在的设计风险；更重要的是，AI 可以生成详细的架构文档和接口规范，这些文档和规范为后续的编码实现和系统集成提供了重要的基础。这种 AI 辅助的架构设计模式，不仅降低了架构设计的门槛，更重要的是为整个开发流程奠定了坚实的基础。 + +## 编码 + +在传统开发中，编码阶段高度依赖开发者的个人能力，存在效率瓶颈、风格不一致、技术债堆积等问题。AI 的介入将这一过程转变为模块驱动、上下文感知、持续优化的新范式。关键在于：合理的模块拆解能极大提升 AI 代码生成的准确性。开发者只需要约定模块的规格，API 的规格，函数的输入输出 等，具体的实现由 AI 来帮助我们填充，这比直接让 AI 来帮助我们实现一个庞大的问题要来的高效。 + +AI 在编码阶段的应用已经相当成熟，从代码补全到函数生成，从重构建议到性能优化，AI 正在成为开发者的得力助手。特别是在处理重复性代码、样板代码和常见模式时，AI 能够显著提升开发效率。同时，AI 还能够帮助维护代码风格的一致性，自动识别潜在的代码质量问题，并提供改进建议。这种 AI 辅助的编码模式，让开发者能够更专注于业务逻辑和核心功能的实现。 + +## 测试 + +当我们发现模块拆分越合理时，编写单元测试将非常简单，AI 的介入可以将测试转变为需求驱动的自动化、智能预测与自愈的新模式。如自动化完善测试覆盖率，发现问题，自动修复并完善测试用例等。 + +AI 在测试领域的应用正在快速发展，从测试用例生成到测试执行，从缺陷预测到自动修复，AI 正在重塑整个测试流程。让我们拭目以待。 + +## 结语：软件工程的"自动驾驶"时代 + +AI 将开发流程从确定性的步骤执行，转变为目标驱动的动态演化过程： + +- 传统模式：开发者作为"司机"直接操控方向盘（编码/调试） +- AI 模式：开发者成为"导航员"，设置目的地（业务目标）和监督路线（最少红绿灯，最少公里数等） + +这种转变要求开发者掌握元决策能力——不再关注"如何写代码"，而是专注于"定义什么样的代码应该被写出"。这标志着软件开发从工匠时代迈向指挥官时代的转折点。 diff --git "a/2025/08. AI\350\276\205\345\212\251\345\274\200\345\217\221\346\226\260\350\214\203\345\274\217\357\274\2321024\345\256\236\350\256\255\350\220\245\345\270\246\344\275\240\346\216\242\347\264\242\346\234\252\346\235\245/AI-assisted-dev.md" b/website/blog/2025-01-29-ai.md similarity index 92% rename from "2025/08. AI\350\276\205\345\212\251\345\274\200\345\217\221\346\226\260\350\214\203\345\274\217\357\274\2321024\345\256\236\350\256\255\350\220\245\345\270\246\344\275\240\346\216\242\347\264\242\346\234\252\346\235\245/AI-assisted-dev.md" rename to website/blog/2025-01-29-ai.md index aadb26b..d6c3048 100644 --- "a/2025/08. AI\350\276\205\345\212\251\345\274\200\345\217\221\346\226\260\350\214\203\345\274\217\357\274\2321024\345\256\236\350\256\255\350\220\245\345\270\246\344\275\240\346\216\242\347\264\242\346\234\252\346\235\245/AI-assisted-dev.md" +++ b/website/blog/2025-01-29-ai.md @@ -1,4 +1,11 @@ -# AI 重构软件开发：从工具到规则的范式革命 +--- +slug: ai +title: "AI 重构软件开发：从工具到规则的范式革命" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, engineering] +date: 2025-01-29 +description: "在 AI 飞速发展的 2025 年，我们正处于一个全新的时代转折点上。在这背景下，软件开发领域也正面临着一场前所未有的变革。" +--- 在 AI 飞速发展的 2025 年，我们正处于一个全新的时代转折点上。在这背景下，软件开发领域也正面临着一场前所未有的变革。 diff --git a/website/blog/2025-01-31-on-ai-era-engineer-development-perspective.md b/website/blog/2025-01-31-on-ai-era-engineer-development-perspective.md new file mode 100644 index 0000000..626568c --- /dev/null +++ b/website/blog/2025-01-31-on-ai-era-engineer-development-perspective.md @@ -0,0 +1,100 @@ +--- +slug: on-ai-era-engineer-development-perspective +title: "许式伟聊 AI 时代下的工程师发展观" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, engineering, tutorial] +date: 2025-01-31 +description: "这个问题从大模型爆发以来，一直是程序员圈子里讨论得沸沸扬扬的热门话题。Cursor、Claude Code、Kiro 等 AI 编程工具的出现，让写代码这件事变得前所未有的简单。面对这样的\"威胁\"，不少工程师开始焦虑：我们是不是要被淘汰了？" +--- + +"AI 是否在消灭工程师？" + +这个问题从大模型爆发以来，一直是程序员圈子里讨论得沸沸扬扬的热门话题。Cursor、Claude Code、Kiro 等 AI 编程工具的出现，让写代码这件事变得前所未有的简单。面对这样的"威胁"，不少工程师开始焦虑：我们是不是要被淘汰了？ + +这种焦虑其实不难理解。毕竟，写代码曾经看起来是软件工程师专属技能，如果连这个都被 AI 取代了，那我们还有什么价值？ + +在第四期 1024 实训营开营仪式上，实训营发起人许式伟（ https://github.com/xushiwei ）给出了他的洞察：**AI 并没有消灭工程师，反而让更多的人有了成为工程师的可能**。 + +这个观点与主流焦虑形成了鲜明对比，提供了一个全新的思考角度。 + +## 重新认识：什么是真正的工程能力？ + +要理解许式伟的观点，我们得先重新认识什么是真正的工程能力。 + +### 工程：不只是写代码，而是"把事做成" + +许式伟说，工程本质上是一门关于如何"把事做成"的学问。这个定义听起来很简单，但内涵很深刻。 + +工程不是某个特定的专业或行业，而是可以与所有学科交叉的通用能力。从造房子到软件开发，从航天工程到 AI 应用，所有领域都离不开工程思维。 + +许式伟甚至提出了一个前瞻性的观点：**未来所有的工程都是软件工程**。这个观点听起来有些激进，但如果你仔细观察，会发现软件正在渗透到各个传统行业。从汽车到建筑，从医疗到农业，软件正在成为所有工程的基础。 + +而工程的核心要素包括三个： + +**模块化**：把复杂问题拆解成独立的子问题。就像搭积木一样，先分解，再组装。 + +**版本迭代**：通过迭代的方式逼近目标，控制做事的节奏。不是一次性做完，而是分步骤，每个版本都有价值。 + +**团队分工**：处理能力复杂性和时间复杂性。一个人做不完的事情，需要团队协作。 + +### 设计：不是包装，而是决策 + +与工程紧密相关的是设计能力。但这里的设计不是指 UI 设计或包装，而是一门关于"决策"的学问。 + +设计要回答的核心问题是：要做什么事，以及把事做成什么样子。无论是组织设计、产品设计还是架构设计，本质上都是在做决策。 + +许式伟说，做决策最难的不是决定做什么，而是决定不做什么。什么都想做，往往什么都做不好。 + +### 人的能力象限：工程师的成长地图 + +许式伟提出了一个很有意思的模型——人的能力象限，包括四个维度： + +![人的能力象限图](/img/blog/on-ai-era-engineer-development-perspective/image.png) + +在这个模型中，工程和设计是基础能力，而商业和心性则是让工程师走得更远的关键。为什么要在这四个维度发展？因为真正想成事的人往往都需要这些综合能力——不仅要能解决工程问题，还要能理解商业需求，更要能在复杂环境中保持定力。在过去，每个维度要想做好，都需要花费大量的精力。而现在 AI 的出现，恰恰能帮助我们更好地发展这些能力，让工程师能够更专注于决策和创造。所以说 AI 其实是工程师成长的加速器，我们应该更加主动地拥抱 AI。 + +## AI 时代的工程变革：门槛降低，天花板提升 + +### AI 让工程能力"飞入寻常百姓家" + +AI 的出现让软件工程变得无处不在。许式伟用了一个很生动的比喻：就像 iOS 让 3 岁小孩都能玩电脑一样，AI 让更多人可以参与到软件开发中来。 + +这种门槛降低是历史发展的必然。IT 技术的普及一直在发生，只是之前主要影响的是用户，现在开始影响开发者（Builder）。 + +### AI 提升了工程的天花板 + +这里有个有趣的现象：虽然 AI 降低了入门门槛，但它同时提高了专业工程师的门槛。 + +许式伟说，写代码从来都不是专业工程师最关键的能力，AI 让所有人都清楚地看到了这一点。当 AI 能够生成代码时，工程师的价值就更多地体现在其他地方了。 + +AI 时代要求工程师具备更综合的能力： + +- 从写代码转向做决策 +- 从专业分工转向综合能力 +- 从工业化思维转向 AI 时代思维 + +许式伟举了个例子：自动驾驶这样的复杂工程，纯靠工程师手写逻辑代码是实现不了的，必须借助 AI 技术。 + +这意味着工程师需要学会与 AI 协作，而不是试图替代 AI。 + +更重要的是，AI 不仅没有消灭工程师，反而提升了工程的天花板。它让工程师能够处理更复杂的问题，实现更宏大的目标。 + +## 工程师的发展方向：成为超级个体 + +AI 可以生成代码，但无法替代人类的判断和决策能力。 + +这种变化背后是时代逻辑的根本转变。工业化时代产生了精细分工，每个人只需要掌握一个领域的技能，就像流水线上的工人一样。但 AI 时代打破了这种分工模式，要求每个人都能成为"超级个体"。 + +许式伟说，这种转变不是偶然的。当 AI 能够处理大部分技术细节时，工程师的价值就更多地体现在综合判断和决策能力上。工业化时代要的是专业分工，但 AI 时代要的是超级个体。这对今天的教育产生了巨大挑战，因为传统的专业教育模式已经无法满足 AI 时代的需求。 + +## 1024 实训营：成就优秀工程师 + +秉持着这些理念，1024 实训营致力于成就优秀工程师，为工程师的职业发展提供助力。 + +1024 实训营的目标是助力大学生职业发展，缩短从校园到企业的距离。但它的核心目标不是教授技术技能，而是让学生通过实践理解"什么是工程，如何做工程"。进阶目标是让学生理解"产品设计"与"架构设计"的基础逻辑。这些能力在 AI 时代比具体的技术技能更重要。 + +AI 时代不是工程师的末日，而是工程师的新起点。 + +在 1024 实训营，我们致力于培养这样的工程师——他们不仅掌握技术，更具备工程思维；他们不仅会写代码，更会做决策；他们不仅适应 AI 时代，更能在 AI 时代中脱颖而出。 + +让我们一起努力。 diff --git "a/2025/09. \350\256\270\345\274\217\344\274\237\350\201\212AI\346\227\266\344\273\243\344\270\213\347\232\204\345\267\245\347\250\213\345\270\210\345\217\221\345\261\225\350\247\202/content.md" b/website/blog/2025-01-31-xu-shiwei-on-engineer-development-in-ai-era.md similarity index 94% rename from "2025/09. \350\256\270\345\274\217\344\274\237\350\201\212AI\346\227\266\344\273\243\344\270\213\347\232\204\345\267\245\347\250\213\345\270\210\345\217\221\345\261\225\350\247\202/content.md" rename to website/blog/2025-01-31-xu-shiwei-on-engineer-development-in-ai-era.md index b5f4c7c..dcf0fa9 100644 --- "a/2025/09. \350\256\270\345\274\217\344\274\237\350\201\212AI\346\227\266\344\273\243\344\270\213\347\232\204\345\267\245\347\250\213\345\270\210\345\217\221\345\261\225\350\247\202/content.md" +++ b/website/blog/2025-01-31-xu-shiwei-on-engineer-development-in-ai-era.md @@ -1,4 +1,16 @@ -# 许式伟聊 AI 时代下的工程师发展观 +--- +slug: xu-shiwei-on-engineer-development-in-ai-era +title: 许式伟聊 AI 时代下的工程师发展观 +authors: +- techcamp +tags: +- ai +- architecture +- career +- engineering +date: 2025-01-31 +description: 探讨AI编程工具爆发后,工程师的真正价值和未来发展方向。 +--- "AI 是否在消灭工程师？" @@ -42,7 +54,7 @@ 许式伟提出了一个很有意思的模型——人的能力象限，包括四个维度： -![人的能力象限图](image.png) +![人的能力象限图](/img/blog/许式伟聊-ai-时代下的工程师发展观/image.png) 在这个模型中，工程和设计是基础能力，而商业和心性则是让工程师走得更远的关键。为什么要在这四个维度发展？因为真正想成事的人往往都需要这些综合能力——不仅要能解决工程问题，还要能理解商业需求，更要能在复杂环境中保持定力。在过去，每个维度要想做好，都需要花费大量的精力。而现在 AI 的出现，恰恰能帮助我们更好地发展这些能力，让工程师能够更专注于决策和创造。所以说 AI 其实是工程师成长的加速器，我们应该更加主动地拥抱 AI。 diff --git "a/2025/10. xgo\345\217\221\345\270\203/content.md" b/website/blog/2025-02-02-xu-shiwei-releases-xgo-roadmap-programming-for-all-in-ai-era.md similarity index 95% rename from "2025/10. xgo\345\217\221\345\270\203/content.md" rename to website/blog/2025-02-02-xu-shiwei-releases-xgo-roadmap-programming-for-all-in-ai-era.md index 6eacf29..c5f09a4 100644 --- "a/2025/10. xgo\345\217\221\345\270\203/content.md" +++ b/website/blog/2025-02-02-xu-shiwei-releases-xgo-roadmap-programming-for-all-in-ai-era.md @@ -1,4 +1,11 @@ -# 许式伟发布 XGo 全景图：AI 时代的全民编程语言 +--- +slug: xu-shiwei-releases-xgo-roadmap-programming-for-all-in-ai-era +title: "许式伟发布 XGo 全景图：AI 时代的全民编程语言" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, compiler, engineering, go, llgo, python, xgo] +date: 2025-02-02 +description: "在第四届 1024 实训营开幕式上，七牛云创始人许式伟（https://github.com/xushiwei）分享了XGo的全景图。这次分享与以往有所不同，他不仅介绍了XGo的技术特性，更重要的是阐述了XGo背后的设计哲学和未来愿景。" +--- 在第四届 1024 实训营开幕式上，七牛云创始人许式伟（https://github.com/xushiwei）分享了XGo的全景图。这次分享与以往有所不同，他不仅介绍了XGo的技术特性，更重要的是阐述了XGo背后的设计哲学和未来愿景。 @@ -103,15 +110,12 @@ XGo 在 2020 年 5 月 23 日诞生第一行代码，当时还叫 Go+。2021 年 XGo 对 C/C++的支持已经非常完备。可以用 XGo 的语法去优雅地引用 C/C++库，没有经过任何包装。XGo 和 C/C++之间互操作没有任何障碍。 -![](./c.png) - XGo 甚至支持 C 字符串的内建支持，在双引号前面加一个 C 就代表这是一个 C 字符串 c"Hello"。这是 XGo 特有的，Go 没有的东西。它底层基于 LLGo 的指令，不会产生像 cgo 那样的开销。 ### Python 生态支持 XGo 对 Python 的支持也已经实现。Python 在 XGo 中和 Go 一样是一等公民，生态里的所有资产都会让它看起来跟 Go 的资产一样。 -![](./p.png) XGo 有内建的 Python 字符串，`py"hello"`就是一个 Python 字符串字面量。我们还在探索如何让 Python 的字面量和内建字符串有更好的协同性。 @@ -133,7 +137,6 @@ XGo 包含三个主要部分： LLGo 是一个 Go 编译器，它的使命是实现软件工程历史所有资产的融合。 -![](./l.png) LLGo 是二进制兼容 C 生态的资产，源代码兼容 Go 生态的资产。这样做的逻辑是：C 生态足够庞大，Go 生态相对较小。源代码兼容意味着有 bug，但给予足够多的时间总能修复完。 @@ -145,7 +148,6 @@ XGo 语言本身。 XBuilder 是一个 IDE，特别像 Scratch，但跟 Scratch 又很不一样。XBuilder 是直接文本编程的，不是积木式编程。 -![](./x.png) 许式伟提到，他曾经亲身带教过一些小朋友，在 CodeMonkey 里让几个完全没有编程基础、甚至没有接触过 Scratch 的小朋友直接做文本编程的尝试。让他很诧异的是，这些小朋友完全没有遇到任何障碍，文本编程的门槛其实并不比积木式编程高多少，两者几乎是等价的。这个发现让他意识到，让学生越早过渡到文本编程的方式越好，这也是为什么 XBuilder 最终决定放弃积木视图模式，直接采用文本编程的原因。 diff --git a/website/blog/2025-02-02-xu-shiwei-releases-xgo-roadmap-programming-for-all.md b/website/blog/2025-02-02-xu-shiwei-releases-xgo-roadmap-programming-for-all.md new file mode 100644 index 0000000..6472ee2 --- /dev/null +++ b/website/blog/2025-02-02-xu-shiwei-releases-xgo-roadmap-programming-for-all.md @@ -0,0 +1,190 @@ +--- +slug: xu-shiwei-releases-xgo-roadmap-programming-for-all +title: 许式伟发布 XGo 全景图：AI 时代的全民编程语言 +authors: +- techcamp +tags: +- ai +- architecture +- career +- compiler +- engineering +- go +- llgo +- python +- xgo +date: 2025-02-02 +description: 在第四届 1024 实训营开幕式上，七牛云创始人许式伟（https://github.com/xushiwei）分享了XGo的全景图。这次分享与以往有所不同，他不仅介绍了XGo的技术特性，更重要的是阐述了XGo背后的设计哲学和未来愿景。 +--- + +在第四届 1024 实训营开幕式上，七牛云创始人许式伟（https://github.com/xushiwei）分享了XGo的全景图。这次分享与以往有所不同，他不仅介绍了XGo的技术特性，更重要的是阐述了XGo背后的设计哲学和未来愿景。 + +## AI 时代：从精细化分工到超级个体 + +许式伟在开营之初提到了人才能力象限的概念。在他看来，AI 时代带来的最大变化，就是我们的分工不再基于精细化的工业逻辑，而是超级个体的逻辑。这与王佳梁老师提到的"AI 时代需要创新型人才"形成了呼应。 + +未来的工作机会变少，是因为越来越多的工作变成了独立创作的机会。许式伟提到了一本叫《一人公司》的书，讲述一个人可以开一家公司，这在以前是不可想象的。他在 2017 年造就平台的演讲中就提到过，公司会越来越小型化，今天这个趋势正在不可阻挡地发生。 + +个人的能力要求正在变得更加综合。以前大家会觉得，我做商业化的，不用管技术怎么实现；我做技术的，不用管商业逻辑。这种精细化的协同模式是大家很习惯的，但未来可能会被打破。 + +## AI 对工程带来的三大变化 + +许式伟认为，AI 时代对工程带来了三个重要变化： + +**第一，AI 降低了工程的门槛，使得软件工程变得无处不在。** 我们以前认为不那么"软件工程"的话题，比如拍一部电影、造一个房子，未来也许会变成软件工程。软件工程会变得无处不在，而 AI 正在加速这个趋势。 + +**第二，AI 提高了专业工程师的门槛，也改变了专业工程师的工作方式。** 今天很多人担心程序员会失业，但 AI 并没有从本质上消灭工程师，而是让每个人都有了成为了工程师的可能。从大的方向上，工程可以分为两个层面：工程师这个专业，以及工程思维。而工程思维正变成个体能力的底座，助力个体向超级个体转变。 + +**第三，AI 时代让每个人的能力要求更综合。** 工业化的精细分工模式正在被颠覆了，今天的社会分工正越来越往超级个体发展。 + +## 超级个体需要的编程语言 + +编程语言发展已经很多年了，但他们满足超级个体的需求么？ + +许式伟分析了今天最流行的编程语言： + +- C/C++：擅长底层 +- Go：擅长后端 +- JavaScript：擅长前端 +- Python：擅长算法 + +这些语言仍然是基于精细化分工的逻辑设计的，但超级个体需要一门简单但无所不能的语言。 + +这里有几个看似矛盾的问题： + +1. 真的有无所不能的语言吗？ +2. 简单和无所不能是不是矛盾的？ +3. AI 既然能写代码，为什么还要关心编程语言？ + +许式伟认为，最关键的点是：AI 写代码不代表我们不需要掌握这些代码。AI 是一个工具，但如果一个项目需要长期维护，可维护性就很关键。比如，一个项目需要三门语言（后端、前端、算法），这样的工程维护起来可能就会相对困难。而如果有一门语言能够打通整个信息科技的任督二脉，覆盖所有领域，能力强大但又简单易学，这必然是非常友好的。 + +XGo 就是想做类似的事。 + +## XGo 的设计哲学：少就是指数级的多 + +XGo 想做的事情很多，但它考虑的最多的却是 "做减法"。 + +许式伟经常说，他非常佩服 Go 团队，他们提出了"少就是指数级的多"的产品座右铭。 + +XGo 也秉承这个理念。为什么？ + +因为，可能每加一个功能，产品的适应范围就会缩小，而不是变大。这是所有产品经理都必须认真思考的问题。 + +许式伟提到，当他听到产品经理说: “我这个产品既能做 A 也能做 B，所以我应该比 A 和 B 都牛逼”，他就会问一个问题：“既需要 A 又需要 B 的人大概比例有多少？” 如果对方答不出来，那对方大概率就犯了经验主义错误，因为事实上有可能既需要 A 又需要 B 的人反而会更少。 + +功能不是越多越好，简单的堆砌也意义不大。产品经理更应该考虑的是如何把一件事做到极致，而这也是 XGo 基础哲学里很重要的逻辑。 + +XGo 的设计理念，是在 Go 的基础上进行再一步精简。XGo 对使用者的要求是：最复杂的只需要理解什么是函数，然后就没然后了。 + +在软件工程实践里，有很多复杂的东西：面向对象、虚函数等等，这些都是用来构建复杂工程的设施。但在 XGo 看来，大部分构建复杂工程的设施都是过度设计，只有函数是做组合的最好范式。有了函数就什么都已经完备了。 + +## XGo 的融合生态：非自立门户的语言 + +XGo 还有一个很特别的地方：它是少有的几乎没有标准库的语言。为什么这么说？因为我们认为，全民编程语言一定是非自立门户的语言，它要打通的是整个信息科技或软件工程的任督二脉。 + +XGo 的标准库基本上都不是自己造的： + +- Go 的标准库就是 XGo 的标准库 +- C 和 C++的标准库就是 XGo 的标准库 +- Python 的标准库也是 XGo 的标准库 + +综合来看，Go、C、C++、Python、JavaScript 产生的生态资产总值约等于软件工程 55 年历史的所有资产总值。XGo 融合软件工程四大领域就是想复用这些已有的生态资产，而不是重新造轮子。 + +## XGo = C × Go × Python × JavaScript + Scratch + +XGo 在页面上写了这样一个公式：XGo = C × Go × Python × JavaScript + Scratch + +为什么有乘有加？乘的意思是，我们认为 C、Go、Python、JavaScript 的资产几乎是正交的，它们之间重复的东西相对小，所以融在一个生态时，能做的事情在变大。这里的扩张不是线性扩张，而是一维变二维变三维变四维的关系。 + +Scratch 为什么是加而不是乘？因为 Scratch 不是工程的设施，它沉淀的资产是学习性的资产，是创造的结果性资产，尤其是针对 STEM 教育领域。我们已在 XBuilder 创客平台上兼容了 Scratch 的所有资产，让这些学习性的资产能够自动转成 XGo 代码写出来的工程。 + +XGo 希望实现 C、Go、Python、JavaScript 所有软件工程范畴的可复用资产的一体化，形成一个统一体系，通过最简单的语言表达出来，并且能相互协同。在此基础上，希望让语言覆盖的年龄段更小，小到 8 岁，所以需要足够的简单，足够的易学易用。 + +## XGo 的发展历程：从 Go+ 到 XGo + +XGo 在 2020 年 5 月 23 日诞生第一行代码，当时还叫 Go+。2021 年 9 月 27 日发布 1.0 版本，完成了兼容几乎所有 Go 语法的任务（不包括泛型）。 + +2022 年发布 1.1 版本，兼容了 Go 的完整工程能力。2024 年发布 1.2 版本，正式发布了 Classfile 功能。Classfile 是 XGo 认为哪怕是 8 岁小孩也能做复杂工程的重要设施，它经历了两年多的探索才正式发布。 + +2025 年发布 1.3.1 版本，做了几个重要的事情： + +1. 引入了 Mini Spec 概念 +2. 支持 import C/C++ 和 Python 包 +3. 完善 classfile （引入 class framework），引入领域文本 + +今年 6 月 8 日，我们过渡到 XGo 1.4 版本，很快又到了 1.5 版本。现在 1.5 版本是 XGo 的正式版，也是正式改名为 XGo。 + +## XGo 的核心技术特性 + +### C/C++生态支持 + +XGo 对 C/C++的支持已经非常完备。可以用 XGo 的语法去优雅地引用 C/C++库，没有经过任何包装。XGo 和 C/C++之间互操作没有任何障碍。 + +![](/img/blog/许式伟发布-xgo-全景图ai-时代的全民编程语言/c.png) + +XGo 甚至支持 C 字符串的内建支持，在双引号前面加一个 C 就代表这是一个 C 字符串 c"Hello"。这是 XGo 特有的，Go 没有的东西。它底层基于 LLGo 的指令，不会产生像 cgo 那样的开销。 + +### Python 生态支持 + +XGo 对 Python 的支持也已经实现。Python 在 XGo 中和 Go 一样是一等公民，生态里的所有资产都会让它看起来跟 Go 的资产一样。 + +![](/img/blog/许式伟发布-xgo-全景图ai-时代的全民编程语言/p.png) + +XGo 有内建的 Python 字符串，`py"hello"`就是一个 Python 字符串字面量。我们还在探索如何让 Python 的字面量和内建字符串有更好的协同性。 + +### XGo classfile + +classfile 是 XGo 在工程领域的最大创新。它有两个关键价值： + +一是简化了面向对象编程。XGo 通过变量+函数这两个非常基础的概念实现了用户自定义类型，很简洁也很酷。 + +二是解决了领域友好的问题。classfile 是一个抽象领域知识的工具，它让 XGo 几乎在所有领域都看起来好像天生就是为该领域而生。 + +classfile 经历了 4 年的 beta 测试，直到 2024 年 2 月才定稿。它的重要性不亚于 XGo 支持 import C 和 Python 库。 + +## XGo 的三大组成部分 + +XGo 包含三个主要部分： + +### 1. LLGo 编译器 + +LLGo 是一个 Go 编译器，它的使命是实现软件工程历史所有资产的融合。 + +![](/img/blog/许式伟发布-xgo-全景图ai-时代的全民编程语言/l.png) + +LLGo 是二进制兼容 C 生态的资产，源代码兼容 Go 生态的资产。这样做的逻辑是：C 生态足够庞大，Go 生态相对较小。源代码兼容意味着有 bug，但给予足够多的时间总能修复完。 + +### 2. XGo 语言 + +XGo 语言本身。 + +### 3. XBuilder 创客平台 + +XBuilder 是一个 IDE，特别像 Scratch，但跟 Scratch 又很不一样。XBuilder 是直接文本编程的，不是积木式编程。 + +![](/img/blog/许式伟发布-xgo-全景图ai-时代的全民编程语言/x.png) + +许式伟提到，他曾经亲身带教过一些小朋友，在 CodeMonkey 里让几个完全没有编程基础、甚至没有接触过 Scratch 的小朋友直接做文本编程的尝试。让他很诧异的是，这些小朋友完全没有遇到任何障碍，文本编程的门槛其实并不比积木式编程高多少，两者几乎是等价的。这个发现让他意识到，让学生越早过渡到文本编程的方式越好，这也是为什么 XBuilder 最终决定放弃积木视图模式，直接采用文本编程的原因。 + +XBuilder 目前主要支持游戏和动漫，未来还会支持机器人。它支持的所有东西都建立在 classfile 的基础上。 + +## 完整的工程生态 + +XGo 的生态已经非常完备，包括： + +- 文档站 +- IDE 插件 +- 语言服务器 +- Debugger +- 语法高亮插件 +- 与 GitHub 的集成 + +整个生态其实已经非常工程化了，组建的很全面。 + +## 结语：AI 时代的全民编程愿景 + +XGo 的全景图展示了许式伟对 AI 时代编程语言的思考。在 AI 降低工程门槛的同时，我们也需要一门真正适合全民编程的语言。XGo 通过"少就是指数级的多"的哲学，通过融合软件工程 55 年的资产，通过覆盖 8 岁到 80 岁的全年龄段，正在构建一个全新的编程生态。 + +这不仅是技术问题，更是关于未来的愿景：让每个人都能成为超级个体，让编程真正成为全民技能，让创造的力量不再被技术门槛所束缚。 + +XGo 正在让这个愿景一步步成为现实。 diff --git "a/2025/12. \345\246\202\344\275\225\346\211\215\347\256\227\"\345\256\214\346\210\220\"\344\270\200\344\270\252AI\345\272\224\347\224\250/content.md" b/website/blog/2025-02-06-what-makes-ai-application-complete.md similarity index 81% rename from "2025/12. \345\246\202\344\275\225\346\211\215\347\256\227\"\345\256\214\346\210\220\"\344\270\200\344\270\252AI\345\272\224\347\224\250/content.md" rename to website/blog/2025-02-06-what-makes-ai-application-complete.md index ba74ce1..b552847 100644 --- "a/2025/12. \345\246\202\344\275\225\346\211\215\347\256\227\"\345\256\214\346\210\220\"\344\270\200\344\270\252AI\345\272\224\347\224\250/content.md" +++ b/website/blog/2025-02-06-what-makes-ai-application-complete.md @@ -1,10 +1,19 @@ +--- +slug: what-makes-ai-application-complete +title: "如何才算\"完成\"一个AI应用" +authors: [techcamp] +tags: [ai, engineering, best-practices] +date: 2025-02-06 +description: "调通了大模型接口 ≠ 完成了 AI 应用。AI 应用的本质不是技术演示，而是利用 AI 技术解决真实世界中的某个具体问题。" +--- + ## 引言：现象与误区 最近公司正在搞实训营，而我也有幸作为带教导师参与其中，期间也跟许多同学和助教聊到他们正在做的 AI 应用的相关问题，给我最大的感受是同学们有一个普遍的认知误区 ———— 调通了大模型接口 ≈ 完成了 AI 应用。这是一个需要澄清的关键认知偏差。 -AI 应用的本质，不是技术演示，而是利用 AI 技术解决真实世界中的某个具体问题。因此，判断一个 AI 应用是否“完成”，核心标准在于：它是否达到了设计之初设定的解决特定领域问题的目标。 +AI 应用的本质，不是技术演示，而是利用 AI 技术解决真实世界中的某个具体问题。因此，判断一个 AI 应用是否"完成"，核心标准在于：它是否达到了设计之初设定的解决特定领域问题的目标。 -## 为何“调通模型”远远不够？ +## 为何"调通模型"远远不够？ 模型≠应用，大模型就像一台强大的引擎。把引擎装上车壳，不等于就造好了一辆能上路的汽车。 @@ -22,7 +31,7 @@ AI 应用的本质，不是技术演示，而是利用 AI 技术解决真实世 往往有价值的 AI 应用（产品），都是瞄准某一个特定领域，解决某一个特定领域的问题，而在做 AI 应用前，需要想清楚我们的应用是要解决什么样的问题？比如一个 AIops 的应用，他的目标是帮助运维发现线上问题，定位线上问题，解决线上问题？或者是一个智能的发布系统，智能灰度进度，及时发现问题，并快速回滚？ -因此目标可以定义为 “解决” 问题的标准，AI 输出了什么样的内容才算帮助我们解决了问题，关于这个标准，我大概总结出以下几点： +因此目标可以定义为 "解决" 问题的标准，AI 输出了什么样的内容才算帮助我们解决了问题，关于这个标准，我大概总结出以下几点： 1. 准确性：AI 输出的结果是否正确，幻觉率是否能降到最低 2. 有效性：AI 输出的内容，是否能够达成目标 @@ -42,4 +51,4 @@ AI 应用的本质，不是技术演示，而是利用 AI 技术解决真实世 ## 结束语：从模型玩家到问题解决者 -调通模型API是入门AI应用开发的第一步，值得肯定，但这只是拿到了钥匙。真正的挑战和价值在于：如何利用AI这把钥匙，精准地打开特定领域问题的大门，并构建出一条顺畅的解决路径。RAG、MCP、Workflow、Prompt Engineering等技术，是你工具箱里的关键利器，根据你的目标，合理的选择最合适自己的工具，并落地为有价值的解决方案。当你不再仅仅满足于“模型有反应”，而是执着于“问题真被解决”时，你就从一个模型的调用者，成长为真正的 AI 应用构建者和问题解决者。这里也预祝本次实训营的同学们可以完成一个能解决问题的AI应用！ +调通模型API是入门AI应用开发的第一步，值得肯定，但这只是拿到了钥匙。真正的挑战和价值在于：如何利用AI这把钥匙，精准地打开特定领域问题的大门，并构建出一条顺畅的解决路径。RAG、MCP、Workflow、Prompt Engineering等技术，是你工具箱里的关键利器，根据你的目标，合理的选择最合适自己的工具，并落地为有价值的解决方案。当你不再仅仅满足于"模型有反应"，而是执着于"问题真被解决"时，你就从一个模型的调用者，成长为真正的 AI 应用构建者和问题解决者。这里也预祝本次实训营的同学们可以完成一个能解决问题的AI应用！ diff --git "a/website/blog/2025-02-06-\345\246\202\344\275\225\346\211\215\347\256\227\345\256\214\346\210\220\344\270\200\344\270\252ai\345\272\224\347\224\250.md" "b/website/blog/2025-02-06-\345\246\202\344\275\225\346\211\215\347\256\227\345\256\214\346\210\220\344\270\200\344\270\252ai\345\272\224\347\224\250.md" new file mode 100644 index 0000000..992ffa1 --- /dev/null +++ "b/website/blog/2025-02-06-\345\246\202\344\275\225\346\211\215\347\256\227\345\256\214\346\210\220\344\270\200\344\270\252ai\345\272\224\347\224\250.md" @@ -0,0 +1,115 @@ +--- +slug: ru-he-cai-suan-wan-cheng-yi-ge-ai-ying-yong +title: "如何才算完成一个AI应用" +authors: [techcamp] +tags: [ai, engineering, architecture] +date: 2025-02-06 +description: "调通了大模型接口≠完成了AI应用。本文探讨AI应用的本质和完成标准。" +--- + +## 引言：现象与误区 + +最近公司正在搞实训营,而我也有幸作为带教导师参与其中,期间也跟许多同学和助教聊到他们正在做的 AI 应用的相关问题,给我最大的感受是同学们有一个普遍的认知误区 ———— 调通了大模型接口 ≈ 完成了 AI 应用。这是一个需要澄清的关键认知偏差。 + +AI 应用的本质,不是技术演示,而是利用 AI 技术解决真实世界中的某个具体问题。因此,判断一个 AI 应用是否"完成",核心标准在于:它是否达到了设计之初设定的解决特定领域问题的目标。 + +## 为何"调通模型"远远不够？ + +模型≠应用,大模型就像一台强大的引擎。把引擎装上车壳,不等于就造好了一辆能上路的汽车。 + +单纯的模型是有局限性的: + +1. 知识边界:缺乏特定领域知识,在解决特定领域问题时,可能会答非所问 +2. 幻觉:模型可能自信地输出错误或捏造的信息 +3. 缺乏特定任务定制:通用模型不一定擅长你的特定任务,比如需要复杂的决策链路才能得到的答案 +4. 可控性与未知性:如果没有特别要求输出的规则与风格,往往每次输出都飘忽不定 +5. 场景复杂性:业务场景往往是复杂的,涉及多步骤,多信息源,特定逻辑和交互等。单纯调用大模型返回的文本很难满足用户需求 + +所以:模型只是基石,单纯靠调通大模型是无法构建一个可靠的,可用的,有价值的应用。 + + + +## 什么才算"完成"一个 AI 应用？ + +**核心标准**:"问题解决完整性" ———— 应用是否真正解决了设计之初要解决的核心问题。 + +这涉及多个层次和维度的工作: + +### 1. 领域定制:将通用能力转为专用能力 + +这需要我们综合考虑多种手段,使得模型在特定领域、特定任务中表现得更好: + +- **提示工程(Prompt Engineering)**:设计有效的提示词模板 +- **RAG(检索增强生成)**:通过检索外部知识库补充上下文 +- **微调(Fine-tuning)**:使用领域数据训练模型,使其更适应特定任务 +- **特定领域的工具调用**:让模型能够在需要时使用外部工具获取信息或执行操作 + +### 2. 应用级架构:构建可靠的业务逻辑 + +AI 模型只是应用的一部分,完整的应用还需要: + +- **业务逻辑封装**:将模型能力与业务流程整合 +- **数据管理**:如何存储、更新、管理相关数据 +- **多模块协同**:多个模型或模块如何配合工作 +- **错误处理与容错**:当模型输出不符合预期时如何处理 + +### 3. 用户体验:让技术真正为人所用 + +即使技术上完成了,如果用户体验不佳,应用也难以称得上"完成": + +- **交互设计**:用户如何与系统交互?是对话式还是结构化的? +- **响应速度**:系统能否在合理时间内给出响应? +- **输出质量**:输出的内容是否清晰、准确、有用? +- **反馈机制**:用户能否对结果进行反馈和纠正? + +### 4. 工程化:从演示到生产 + +这是很多同学最容易忽视但又至关重要的部分: + +- **可靠性**:系统在各种情况下是否稳定? +- **可扩展性**:能否处理更大规模的请求? +- **可维护性**:代码是否易于理解和修改? +- **可观测性**:能否监控系统运行状态?能否定位问题? + +### 5. 迭代优化:基于反馈持续改进 + +应用上线不是终点,而是起点: + +- **数据收集**:收集用户使用数据 +- **效果评估**:客观评估应用的实际效果 +- **持续优化**:基于反馈不断改进 + +## 实践建议 + +1. **明确问题定义** + - 在开始前,清晰定义要解决什么问题 + - 设定可衡量的完成标准 + - 识别核心用户和使用场景 + +2. **分阶段推进** + - MVP(最小可行产品):先实现核心功能 + - 迭代优化:逐步完善 + - 避免过度设计 + +3. **重视工程实践** + - 代码规范 + - 测试覆盖 + - 文档完善 + +4. **保持用户视角** + - 定期收集用户反馈 + - 关注实际使用效果 + - 持续优化用户体验 + +## 结语 + +"完成"一个 AI 应用不是简单地调通大模型接口,而是: +- 将通用能力转化为领域专用能力 +- 构建完整的应用架构 +- 打磨良好的用户体验 +- 实现工程化的生产系统 +- 基于反馈持续迭代优化 + +只有当应用真正解决了用户的实际问题,并能够稳定、可靠地运行时,我们才能说这个应用是"完成"的。 + +在 1024 实训营,我们期待看到的不仅是技术演示,更是真正能够解决实际问题的完整应用。加油! diff --git "a/2025/13.\344\273\216\347\261\273\345\236\213\347\263\273\347\273\237\347\220\206\350\247\243 LLGo \347\274\226\350\257\221\345\231\250\347\232\204\345\256\236\347\216\260/typesystem_llgo.md" b/website/blog/2025-02-08-understanding-llgo-compiler-through-type-system.md similarity index 94% rename from "2025/13.\344\273\216\347\261\273\345\236\213\347\263\273\347\273\237\347\220\206\350\247\243 LLGo \347\274\226\350\257\221\345\231\250\347\232\204\345\256\236\347\216\260/typesystem_llgo.md" rename to website/blog/2025-02-08-understanding-llgo-compiler-through-type-system.md index 8e07cbc..1212591 100644 --- "a/2025/13.\344\273\216\347\261\273\345\236\213\347\263\273\347\273\237\347\220\206\350\247\243 LLGo \347\274\226\350\257\221\345\231\250\347\232\204\345\256\236\347\216\260/typesystem_llgo.md" +++ b/website/blog/2025-02-08-understanding-llgo-compiler-through-type-system.md @@ -1,4 +1,11 @@ -# 从类型系统理解 LLGo 编译器的实现 +--- +slug: understanding-llgo-compiler-through-type-system +title: "从类型系统理解 LLGo 编译器的实现" +authors: [techcamp] +tags: [architecture, career, compiler, engineering, go, llgo, python] +date: 2025-02-08 +description: "编程语言的类型系统可以分为编译时类型系统（程序编译阶段进行静态类型检查的机制）和运行时类型系统（程序执行期间动态管理类型信息的机制）。" +--- 编程语言的类型系统可以分为编译时类型系统（程序编译阶段进行静态类型检查的机制）和运行时类型系统（程序执行期间动态管理类型信息的机制）。 LLGo 是基于 LLVM 实现的 Go 语言编译器，从类型系统角度来看，LLGo 的编译时类型系统完全兼容 Go 语言，而 LLGo 的 Go 语言运行时类型系统与 C 语言运行时类型系统保持二进制兼容。 diff --git a/website/blog/2025-02-10-code-review-what-is-not.md b/website/blog/2025-02-10-code-review-what-is-not.md new file mode 100644 index 0000000..52654ee --- /dev/null +++ b/website/blog/2025-02-10-code-review-what-is-not.md @@ -0,0 +1,77 @@ +--- +slug: code-review-what-is-not +title: "Code Review 不是什么" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, engineering] +date: 2025-02-10 +description: "在软件开发实践中，Code Review（代码审查）是常见的工程质量保障手段；在 1024 实训营中，我们的代码改动体现为一个个 GitHub Pull Request，我们也会要求每个 Pull Request 都要通过 Code Review 后才能合入。" +--- + +在软件开发实践中，Code Review（代码审查）是常见的工程质量保障手段；在 1024 实训营中，我们的代码改动体现为一个个 GitHub Pull Request，我们也会要求每个 Pull Request 都要通过 Code Review 后才能合入。 + +有很多文章会介绍 Code Review 是什么、怎么做，这里我想就着 Code Review 操作过程中常常出现的误解，从反面来谈谈 Code Review 不是什么。 + +## 1. Code Review 不是帮你找出你自己能发现的问题 + +诚然，Code Review 是为了发现问题的，但它并不是为了发现那些你自己本可以发现的问题。协作的成本总是高于个人，相同的问题，依赖 Code Review 来发现并沟通解决，需要付出的时间和精力，一定是远高于个人独立发现并解决的。 + +因此我们不应当依赖 Code Review 去发现那些通过测试或自查就能发现的简单问题，如基本的逻辑错误、代码的误提交等。在提交审查前，进行自检是代码提交者起码的责任，它们包括但不限于： + +* 逐行阅读变更，确保其是预期的变更 +* 确保持续集成（CI）通过 +* 添加必要的单测 + +对应地，Code Review 更适合发现那些需要外部视角才能发现的问题，比如： + +* 代码的可读性和可维护性问题 +* 潜在的性能或安全风险 +* 对系统整体的影响 +* 审查者个人的经验和视角能发现的额外问题 + +## 2. Code Review 不是审查者的义务 + +很多人认为 Code Review 是审查者的责任——他们负责理解变更、检查并发现问题。不少代码提交者认为只要自己创建了 Pull Request，就可以当甩手掌柜，不用操心了。 + +但实际上，代码变更是为了解决问题的，通过 Code Review 是合入代码变更、问题得以解决的必要条件。代码提交者是解决问题的第一责任人，因此推动 Code Review 的顺利进行应当是代码提交者的责任。 + +而对代码审查者来说，为他人做 Code Review 往往不能直接体现为个人的产出，因此如果审查过程得不到足够的帮助，难免会有消极抵触的心理，最终导致审查流于形式。 + +为了让 Code Review 达到预期的效果，提交者可以主动地帮助审查者理解自己的代码变更并发现问题，比如： + +* 控制 PR 的大小，保持改动的专注，使其便于审查 +* 在 PR 描述中说明必要的上下文 +* 维护清晰的提交历史 +* 确保代码易于理解（添加注释、文档等） +* 主动解释非常规改动的原因和考虑 + +当提交者认真履行这些责任时，Code Review 就能成为一种积极的协作体验，而不是单方面的负担。 + +## 3. Code Review 不是设计讨论 + +Code Review 的重心在“实现是否正确且合理”，而非“重新讨论设计”。 + +虽然在审查过程中可能会涉及一些设计方面的建议，但这不应该成为 Code Review 的主要内容。如果发现经常在 Code Review 过程中有设计观点上的分歧并讨论、调整，那说明问题并不在 Code Review，而是在更早之前：对于复杂或重要的方案设计，我们应当更早地进行讨论，在代码提交之前讨论，甚至在代码实现之前讨论并达成一致。 + +在代码实现完成后再去做设计讨论，往往会因为“既成事实”而难以达成共识，甚至会引发不必要的冲突。即使达成共识，也常常需要推翻大量已有的实现代码，导致效率低下。 + +## 4. Code Review 不是单方的输出 + +我们常常看到在 Code Review 中一方提交另一方审查，而误以为 Code Review 是审查者单方面的输出或指导。这是一个常见的误区，它也容易给人这样的错觉：只有比我更厉害或能帮我发现问题的人才能帮我审查代码。 + +我们应当看到，Code Review 中的交流实际上是双向的：在每个 comment 下，提交者都可以进行回复和进一步讨论。事实上在绝大部分的 Pull Request 中，代码提交者都应该比审查者更了解当前要解决的问题和可能的方案选择——如果不是，这往往说明代码提交者是不称职的。 + +除了 comment 中的讨论，审查者阅读代码（以及 Pull Request 中的其他说明性信息）的过程，本身也是在学习和了解项目。对项目中的代码合入保持关注，可以帮助审查者了解项目整体的演进；查看其他人解决问题的方式，也是在学习和积累处理问题的经验。 + +这种双向交流不仅能提高代码质量，还能促进团队成员的成长和知识传递。 + +## 5. Code Review 不一定发生在人与人之间 + +随着 AI 技术的发展，Code Review 早已不再局限于人与人之间的交流，大模型为代码审查带来了新的可能性和挑战。 + +一方面，大模型可以作为审查者，帮助发现代码中的常见问题。这样可以减轻人类审查者的负担，让他们更专注于复杂的、对领域知识要求更高的问题。同时 AI 审查者往往也能遵循比人类审查者更为一致的检查标准，避免人为的不稳定性。在 1024 实训营中，我们已经为每个项目配置了 AI 审查，建议大家认真地阅读其建议并做自己的思考。 + +另一方面，大模型生成的代码也需要进行 Code Review。虽然 AI 可以生成代码，但它往往不是完美的，甚至可能会引入严重的问题。作为 AI 开发工具的使用者，我们需要对其生成的代码进行审查，以确保其正确地实现了我们的意图。在很多大型项目中，因为大模型幻觉的存在，以及它对项目整体理解的欠缺，对 AI 生成代码的审查，甚至要比对人类工程师代码的审查更为重要。在 1024 实训营中，我们鼓励大家使用 AI 工具来辅助代码编写，但需要注意，每个人依然要为自己提交的代码质量负责。 + +## 最后 + +Code Review 是软件工程中的重要的一环，在这篇文章中，关于它不应该是什么样的，我们讨论了很多。希望可以帮助大家避免常见的误区，把这件事情做好，为项目和个人带来实在的提升。 diff --git "a/2025/14. Code Review \344\270\215\346\230\257\344\273\200\344\271\210/what-code-review-is-not.md" "b/website/blog/2025-02-10-code-review-\344\270\215\346\230\257\344\273\200\344\271\210.md" similarity index 93% rename from "2025/14. Code Review \344\270\215\346\230\257\344\273\200\344\271\210/what-code-review-is-not.md" rename to "website/blog/2025-02-10-code-review-\344\270\215\346\230\257\344\273\200\344\271\210.md" index db58f52..ff35e8a 100644 --- "a/2025/14. Code Review \344\270\215\346\230\257\344\273\200\344\271\210/what-code-review-is-not.md" +++ "b/website/blog/2025-02-10-code-review-\344\270\215\346\230\257\344\273\200\344\271\210.md" @@ -1,4 +1,11 @@ -# Code Review 不是什么 +--- +slug: code-review-不是什么 +title: "Code Review 不是什么" +authors: [techcamp] +tags: [ai, architecture, career, engineering] +date: 2025-02-10 +description: "在软件开发实践中，Code Review（代码审查）是常见的工程质量保障手段；在 1024 实训营中，我们的代码改动体现为一个个 GitHub Pull Request，我们也会要求每个 Pull Request 都要通过 Code Rev..." +--- 在软件开发实践中，Code Review（代码审查）是常见的工程质量保障手段；在 1024 实训营中，我们的代码改动体现为一个个 GitHub Pull Request，我们也会要求每个 Pull Request 都要通过 Code Review 后才能合入。 diff --git a/website/blog/2025-02-10-what-code-review-is-not.md b/website/blog/2025-02-10-what-code-review-is-not.md new file mode 100644 index 0000000..56b2ccd --- /dev/null +++ b/website/blog/2025-02-10-what-code-review-is-not.md @@ -0,0 +1,83 @@ +--- +slug: what-code-review-is-not +title: Code Review 不是什么 +authors: +- techcamp +tags: +- ai +- architecture +- career +- engineering +date: 2025-02-10 +description: 在软件开发实践中，Code Review（代码审查）是常见的工程质量保障手段；在 1024 实训营中，我们的代码改动体现为一个个 GitHub + Pull Request，我们也会要求每个 Pull Request 都要通过 Code Rev... +--- + +在软件开发实践中，Code Review（代码审查）是常见的工程质量保障手段；在 1024 实训营中，我们的代码改动体现为一个个 GitHub Pull Request，我们也会要求每个 Pull Request 都要通过 Code Review 后才能合入。 + +有很多文章会介绍 Code Review 是什么、怎么做，这里我想就着 Code Review 操作过程中常常出现的误解，从反面来谈谈 Code Review 不是什么。 + +## 1. Code Review 不是帮你找出你自己能发现的问题 + +诚然，Code Review 是为了发现问题的，但它并不是为了发现那些你自己本可以发现的问题。协作的成本总是高于个人，相同的问题，依赖 Code Review 来发现并沟通解决，需要付出的时间和精力，一定是远高于个人独立发现并解决的。 + +因此我们不应当依赖 Code Review 去发现那些通过测试或自查就能发现的简单问题，如基本的逻辑错误、代码的误提交等。在提交审查前，进行自检是代码提交者起码的责任，它们包括但不限于： + +* 逐行阅读变更，确保其是预期的变更 +* 确保持续集成（CI）通过 +* 添加必要的单测 + +对应地，Code Review 更适合发现那些需要外部视角才能发现的问题，比如： + +* 代码的可读性和可维护性问题 +* 潜在的性能或安全风险 +* 对系统整体的影响 +* 审查者个人的经验和视角能发现的额外问题 + +## 2. Code Review 不是审查者的义务 + +很多人认为 Code Review 是审查者的责任——他们负责理解变更、检查并发现问题。不少代码提交者认为只要自己创建了 Pull Request，就可以当甩手掌柜，不用操心了。 + +但实际上，代码变更是为了解决问题的，通过 Code Review 是合入代码变更、问题得以解决的必要条件。代码提交者是解决问题的第一责任人，因此推动 Code Review 的顺利进行应当是代码提交者的责任。 + +而对代码审查者来说，为他人做 Code Review 往往不能直接体现为个人的产出，因此如果审查过程得不到足够的帮助，难免会有消极抵触的心理，最终导致审查流于形式。 + +为了让 Code Review 达到预期的效果，提交者可以主动地帮助审查者理解自己的代码变更并发现问题，比如： + +* 控制 PR 的大小，保持改动的专注，使其便于审查 +* 在 PR 描述中说明必要的上下文 +* 维护清晰的提交历史 +* 确保代码易于理解（添加注释、文档等） +* 主动解释非常规改动的原因和考虑 + +当提交者认真履行这些责任时，Code Review 就能成为一种积极的协作体验，而不是单方面的负担。 + +## 3. Code Review 不是设计讨论 + +Code Review 的重心在“实现是否正确且合理”，而非“重新讨论设计”。 + +虽然在审查过程中可能会涉及一些设计方面的建议，但这不应该成为 Code Review 的主要内容。如果发现经常在 Code Review 过程中有设计观点上的分歧并讨论、调整，那说明问题并不在 Code Review，而是在更早之前：对于复杂或重要的方案设计，我们应当更早地进行讨论，在代码提交之前讨论，甚至在代码实现之前讨论并达成一致。 + +在代码实现完成后再去做设计讨论，往往会因为“既成事实”而难以达成共识，甚至会引发不必要的冲突。即使达成共识，也常常需要推翻大量已有的实现代码，导致效率低下。 + +## 4. Code Review 不是单方的输出 + +我们常常看到在 Code Review 中一方提交另一方审查，而误以为 Code Review 是审查者单方面的输出或指导。这是一个常见的误区，它也容易给人这样的错觉：只有比我更厉害或能帮我发现问题的人才能帮我审查代码。 + +我们应当看到，Code Review 中的交流实际上是双向的：在每个 comment 下，提交者都可以进行回复和进一步讨论。事实上在绝大部分的 Pull Request 中，代码提交者都应该比审查者更了解当前要解决的问题和可能的方案选择——如果不是，这往往说明代码提交者是不称职的。 + +除了 comment 中的讨论，审查者阅读代码（以及 Pull Request 中的其他说明性信息）的过程，本身也是在学习和了解项目。对项目中的代码合入保持关注，可以帮助审查者了解项目整体的演进；查看其他人解决问题的方式，也是在学习和积累处理问题的经验。 + +这种双向交流不仅能提高代码质量，还能促进团队成员的成长和知识传递。 + +## 5. Code Review 不一定发生在人与人之间 + +随着 AI 技术的发展，Code Review 早已不再局限于人与人之间的交流，大模型为代码审查带来了新的可能性和挑战。 + +一方面，大模型可以作为审查者，帮助发现代码中的常见问题。这样可以减轻人类审查者的负担，让他们更专注于复杂的、对领域知识要求更高的问题。同时 AI 审查者往往也能遵循比人类审查者更为一致的检查标准，避免人为的不稳定性。在 1024 实训营中，我们已经为每个项目配置了 AI 审查，建议大家认真地阅读其建议并做自己的思考。 + +另一方面，大模型生成的代码也需要进行 Code Review。虽然 AI 可以生成代码，但它往往不是完美的，甚至可能会引入严重的问题。作为 AI 开发工具的使用者，我们需要对其生成的代码进行审查，以确保其正确地实现了我们的意图。在很多大型项目中，因为大模型幻觉的存在，以及它对项目整体理解的欠缺，对 AI 生成代码的审查，甚至要比对人类工程师代码的审查更为重要。在 1024 实训营中，我们鼓励大家使用 AI 工具来辅助代码编写，但需要注意，每个人依然要为自己提交的代码质量负责。 + +## 最后 + +Code Review 是软件工程中的重要的一环，在这篇文章中，关于它不应该是什么样的，我们讨论了很多。希望可以帮助大家避免常见的误区，把这件事情做好，为项目和个人带来实在的提升。 diff --git a/website/blog/2025-02-12-architecture-design-where-to-start.md b/website/blog/2025-02-12-architecture-design-where-to-start.md new file mode 100644 index 0000000..8a5ead5 --- /dev/null +++ b/website/blog/2025-02-12-architecture-design-where-to-start.md @@ -0,0 +1,148 @@ +--- +slug: architecture-design-where-to-start +title: "架构设计该从何入手" +authors: [techcamp] +tags: [architecture, engineering] +date: 2025-02-12 +description: "在软件开发过程中，我们经常会听到 **架构设计** 这个词。特别是在准备实现一个新的产品时，团队通常都会要求在开发之前先做架构设计，只有架构设计合理，最终开发出来的系统才会稳定、可扩展。" +--- + +在软件开发过程中，我们经常会听到 **架构设计** 这个词。特别是在准备实现一个新的产品时，团队通常都会要求在开发之前先做架构设计，只有架构设计合理，最终开发出来的系统才会稳定、可扩展。 + +那么，架构设计到底该从哪里入手？正确的架构设计顺序是怎样的？每个步骤又有哪些需要注意的事项？这些问题很多同学一时可能很难回答清楚。其实，只要顺序处理得当，就能大幅提升架构设计的合理性和稳定性。 + +今天，我们结合 **1024 实训营** 的项目过程，为大家提供一个参考。 + +需要强调的是：架构设计讨论，团队参与的人越多越好。因为它是一项非常重要的共识。团队中有两个关键共识： + +- 一个是 **产品要做成什么样**，对应的是产品原型设计； + +- 另一个就是 **系统架构设计**。 + +回顾我们的实训项目过程，合理的项目顺序应该是： + +`明确产品定位 → 定义产品原型与原型图 → 定义功能 API → 完成数据表设计 → 进行模块拆分 → 模块详细设计`。 + +下面我们逐一展开。 + +--- + +## 明确产品定位 + +一个产品要做到什么程度？首先要明确产品定位，这是理清方向的前提。 + +例如： + +- 我们是要做一个 **运维工具**，还是一个 **全托管运维系统**？ + +- 我们的用户群体是 **运维工程师**，还是 **研发团队**？ + +- 我们要解决的用户故事有哪些？哪些是必须优先实现的核心场景，哪些可以留到后续迭代？ + +这些问题都需要在产品定位阶段达成共识。 + +> 产品定位更多属于产品设计的范畴，本篇不作深入展开。 + +## 定义产品原型与原型图 + +在明确了产品定位后，就要整理产品所需的核心需求，也就是 **需求工程阶段**。这一步的关键，是将模糊的业务需求转化为清晰、可验证、无歧义的技术需求，它是后续设计和开发的唯一依据。 + +比较推荐的方法是： + +- 产出产品原型图：用交互界面的方式收集、整理需求，明确每个界面的功能列表、功能划分、页面跳转关系。 + +- 通过原型图，可以较好覆盖需求清单，并合理整合到一起，使团队对产品的使用流程有更直观、统一的理解。 + +需要注意： + +- 如果某个功能并不涉及界面（如 IDE 的功能扩展），可以用 **功能流程图** 表达。 + +- 大部分涉及用户交互的产品，都应该有原型图，来说明用户是如何使用系统的。 + +此外，在进行原型设计前，可以先画 **需求草图**，明确界面不变的核心要素，这样会让后续原型设计更高效。 + +同时，也要警惕： + +- 避免 **过度设计**（设计了实际用不到的功能）。 + +- 避免 **伪需求**（例如某些功能更适合通过技术手段或特性实现，而不该以产品功能的方式存在）。 + +MVP（最小可行产品）思想也很重要：先聚焦产品最核心、不可或缺的功能。 + +## 定义功能 API + +原型图确定后，每个页面的功能列表、需要展示的信息都已明确，接下来进入 **API 设计**。 + +经验总结： + +1. API 设计要结合界面，但更要考虑 **逻辑关联性**。 + + - 例如：界面需要获取某个服务的发布任务，可以设计为 `/v1/services/:service/deployments`； + + - 但如果系统需要支持多种关联查询，更合理的方式可能是 `/v1/deployments?service=serviceName`。 + +2. 避免过度通用的 **payload** 设计。 + + - 不要把各种数据结构都往一个复杂的 payload 里塞，这样会导致解释成本高、依赖方难以理解。 + + - 建议在定义 API 时，只包含 **明确且稳定** 的数据结构。 + +值得提醒的是：API 初版完成后，还不是最终定稿。等模块拆解完成后，还需要根据模块边界和耦合度对 API 做微调。 + +## 数据表定义 + +API 定义完成后，一般不直接拆模块，而是先定义 **数据表结构（ER 图）**。 + +原因是： + +- 数据表本身也是模块划分的重要参考依据； + +- 不同 API 操作哪些表，也会反映 API 与数据表的耦合关系。 + +在这个阶段，要把复杂的业务关系转化为结构化的数据库模型。 + +需要注意： + +- 数据库选型会直接影响表设计范式。例如 Postgres 支持 ARRAY 类型，在某些场景下可以减少拆表，简化 ER 图。 + +- 避免过度设计。例如不必为了兼容多种数据库而抽象表结构，这种做法通常在现实中不会出现，现实中一般在数据库选型确定后，不会再轻易更改。 + +## 模块拆分 + +完成 API 和数据表设计后，进入 **模块拆分阶段**。 + +几个关键点： + +1. 表的边界决定模块边界：通常不会有多个模块同时操作同一张表。 + +2. 代码量考虑：代码量大的功能值得独立成模块；反之则可以合并。 + +3. 耦合度： + + - 如果一个模块需要大量依赖另一个模块的私有 API，说明拆分不合理； + + - 如果模块只依赖公共 API 就能完成任务，则可以考虑独立出来。 + +在模块确定后，还需要理清模块之间的依赖关系，并合理使用 **依赖倒置** 原则，减少耦合，提高复用性。 + +## 模块详细设计 + +在模块拆分完成后，需要将每个模块展开到可指导开发的程度，包括： + +- 输入输出定义； + +- 接口与数据结构； + +- 内部逻辑分层； + +- 关键流程图、类图等。 + +## 总结 + +架构设计并不是凭空展开，而是一个循序渐进的过程： + +`明确产品定位 → 定义原型与原型图 → API 设计 → 数据表定义 → 模块拆分 → 模块详细设计`。 + +每一步都建立在前一步的基础上，避免推倒重来。只有顺序合理，最终才能得到一个稳定、低耦合的系统架构。 + +希望通过本文，能让大家在面对新产品架构时，不再困惑于“从何入手”。 diff --git a/website/blog/2025-02-12-where-to-start-architecture-design.md b/website/blog/2025-02-12-where-to-start-architecture-design.md new file mode 100644 index 0000000..f836f60 --- /dev/null +++ b/website/blog/2025-02-12-where-to-start-architecture-design.md @@ -0,0 +1,151 @@ +--- +slug: where-to-start-architecture-design +title: 架构设计该从何入手 +authors: +- techcamp +tags: +- architecture +- engineering +date: 2025-02-12 +description: 在软件开发过程中，我们经常会听到 **架构设计** 这个词。特别是在准备实现一个新的产品时，团队通常都会要求在开发之前先做架构设计，只有架构设计合理，最终开发出来的系统才会稳定、可扩展。 +--- + +在软件开发过程中，我们经常会听到 **架构设计** 这个词。特别是在准备实现一个新的产品时，团队通常都会要求在开发之前先做架构设计，只有架构设计合理，最终开发出来的系统才会稳定、可扩展。 + +那么，架构设计到底该从哪里入手？正确的架构设计顺序是怎样的？每个步骤又有哪些需要注意的事项？这些问题很多同学一时可能很难回答清楚。其实，只要顺序处理得当，就能大幅提升架构设计的合理性和稳定性。 + +今天，我们结合 **1024 实训营** 的项目过程，为大家提供一个参考。 + +需要强调的是：架构设计讨论，团队参与的人越多越好。因为它是一项非常重要的共识。团队中有两个关键共识： + +- 一个是 **产品要做成什么样**，对应的是产品原型设计； + +- 另一个就是 **系统架构设计**。 + +回顾我们的实训项目过程，合理的项目顺序应该是： + +`明确产品定位 → 定义产品原型与原型图 → 定义功能 API → 完成数据表设计 → 进行模块拆分 → 模块详细设计`。 + +下面我们逐一展开。 + +--- + +## 明确产品定位 + +一个产品要做到什么程度？首先要明确产品定位，这是理清方向的前提。 + +例如： + +- 我们是要做一个 **运维工具**，还是一个 **全托管运维系统**？ + +- 我们的用户群体是 **运维工程师**，还是 **研发团队**？ + +- 我们要解决的用户故事有哪些？哪些是必须优先实现的核心场景，哪些可以留到后续迭代？ + +这些问题都需要在产品定位阶段达成共识。 + +> 产品定位更多属于产品设计的范畴，本篇不作深入展开。 + +## 定义产品原型与原型图 + +在明确了产品定位后，就要整理产品所需的核心需求，也就是 **需求工程阶段**。这一步的关键，是将模糊的业务需求转化为清晰、可验证、无歧义的技术需求，它是后续设计和开发的唯一依据。 + +比较推荐的方法是： + +- 产出产品原型图：用交互界面的方式收集、整理需求，明确每个界面的功能列表、功能划分、页面跳转关系。 + +- 通过原型图，可以较好覆盖需求清单，并合理整合到一起，使团队对产品的使用流程有更直观、统一的理解。 + +需要注意： + +- 如果某个功能并不涉及界面（如 IDE 的功能扩展），可以用 **功能流程图** 表达。 + +- 大部分涉及用户交互的产品，都应该有原型图，来说明用户是如何使用系统的。 + +此外，在进行原型设计前，可以先画 **需求草图**，明确界面不变的核心要素，这样会让后续原型设计更高效。 + +同时，也要警惕： + +- 避免 **过度设计**（设计了实际用不到的功能）。 + +- 避免 **伪需求**（例如某些功能更适合通过技术手段或特性实现，而不该以产品功能的方式存在）。 + +MVP（最小可行产品）思想也很重要：先聚焦产品最核心、不可或缺的功能。 + +## 定义功能 API + +原型图确定后，每个页面的功能列表、需要展示的信息都已明确，接下来进入 **API 设计**。 + +经验总结： + +1. API 设计要结合界面，但更要考虑 **逻辑关联性**。 + + - 例如：界面需要获取某个服务的发布任务，可以设计为 `/v1/services/:service/deployments`； + + - 但如果系统需要支持多种关联查询，更合理的方式可能是 `/v1/deployments?service=serviceName`。 + +2. 避免过度通用的 **payload** 设计。 + + - 不要把各种数据结构都往一个复杂的 payload 里塞，这样会导致解释成本高、依赖方难以理解。 + + - 建议在定义 API 时，只包含 **明确且稳定** 的数据结构。 + +值得提醒的是：API 初版完成后，还不是最终定稿。等模块拆解完成后，还需要根据模块边界和耦合度对 API 做微调。 + +## 数据表定义 + +API 定义完成后，一般不直接拆模块，而是先定义 **数据表结构（ER 图）**。 + +原因是： + +- 数据表本身也是模块划分的重要参考依据； + +- 不同 API 操作哪些表，也会反映 API 与数据表的耦合关系。 + +在这个阶段，要把复杂的业务关系转化为结构化的数据库模型。 + +需要注意： + +- 数据库选型会直接影响表设计范式。例如 Postgres 支持 ARRAY 类型，在某些场景下可以减少拆表，简化 ER 图。 + +- 避免过度设计。例如不必为了兼容多种数据库而抽象表结构，这种做法通常在现实中不会出现，现实中一般在数据库选型确定后，不会再轻易更改。 + +## 模块拆分 + +完成 API 和数据表设计后，进入 **模块拆分阶段**。 + +几个关键点： + +1. 表的边界决定模块边界：通常不会有多个模块同时操作同一张表。 + +2. 代码量考虑：代码量大的功能值得独立成模块；反之则可以合并。 + +3. 耦合度： + + - 如果一个模块需要大量依赖另一个模块的私有 API，说明拆分不合理； + + - 如果模块只依赖公共 API 就能完成任务，则可以考虑独立出来。 + +在模块确定后，还需要理清模块之间的依赖关系，并合理使用 **依赖倒置** 原则，减少耦合，提高复用性。 + +## 模块详细设计 + +在模块拆分完成后，需要将每个模块展开到可指导开发的程度，包括： + +- 输入输出定义； + +- 接口与数据结构； + +- 内部逻辑分层； + +- 关键流程图、类图等。 + +## 总结 + +架构设计并不是凭空展开，而是一个循序渐进的过程： + +`明确产品定位 → 定义原型与原型图 → API 设计 → 数据表定义 → 模块拆分 → 模块详细设计`。 + +每一步都建立在前一步的基础上，避免推倒重来。只有顺序合理，最终才能得到一个稳定、低耦合的系统架构。 + +希望通过本文，能让大家在面对新产品架构时，不再困惑于“从何入手”。 diff --git "a/2025/15. \346\236\266\346\236\204\350\256\276\350\256\241\344\273\216\344\275\225\345\205\245\346\211\213/content.md" "b/website/blog/2025-02-12-\346\236\266\346\236\204\350\256\276\350\256\241\350\257\245\344\273\216\344\275\225\345\205\245\346\211\213.md" similarity index 93% rename from "2025/15. \346\236\266\346\236\204\350\256\276\350\256\241\344\273\216\344\275\225\345\205\245\346\211\213/content.md" rename to "website/blog/2025-02-12-\346\236\266\346\236\204\350\256\276\350\256\241\350\257\245\344\273\216\344\275\225\345\205\245\346\211\213.md" index a771cdd..d5638a0 100644 --- "a/2025/15. \346\236\266\346\236\204\350\256\276\350\256\241\344\273\216\344\275\225\345\205\245\346\211\213/content.md" +++ "b/website/blog/2025-02-12-\346\236\266\346\236\204\350\256\276\350\256\241\350\257\245\344\273\216\344\275\225\345\205\245\346\211\213.md" @@ -1,4 +1,11 @@ -# 架构设计该从何入手 +--- +slug: 架构设计该从何入手 +title: "架构设计该从何入手" +authors: [techcamp] +tags: [architecture, engineering] +date: 2025-02-12 +description: "在软件开发过程中，我们经常会听到 **架构设计** 这个词。特别是在准备实现一个新的产品时，团队通常都会要求在开发之前先做架构设计，只有架构设计合理，最终开发出来的系统才会稳定、可扩展。" +--- 在软件开发过程中，我们经常会听到 **架构设计** 这个词。特别是在准备实现一个新的产品时，团队通常都会要求在开发之前先做架构设计，只有架构设计合理，最终开发出来的系统才会稳定、可扩展。 diff --git "a/2025/16. \345\205\263\344\272\216\346\236\266\346\236\204\350\256\276\350\256\241\347\232\204\345\207\240\347\202\271\350\256\244\347\237\245\344\275\223\344\274\232/content.md" b/website/blog/2025-02-14-insights-on-architecture-design.md similarity index 93% rename from "2025/16. \345\205\263\344\272\216\346\236\266\346\236\204\350\256\276\350\256\241\347\232\204\345\207\240\347\202\271\350\256\244\347\237\245\344\275\223\344\274\232/content.md" rename to website/blog/2025-02-14-insights-on-architecture-design.md index eb9f3c6..08a52ca 100644 --- "a/2025/16. \345\205\263\344\272\216\346\236\266\346\236\204\350\256\276\350\256\241\347\232\204\345\207\240\347\202\271\350\256\244\347\237\245\344\275\223\344\274\232/content.md" +++ b/website/blog/2025-02-14-insights-on-architecture-design.md @@ -1,4 +1,11 @@ -# 关于架构设计的几点认知体会 +--- +slug: insights-on-architecture-design +title: "关于架构设计的几点认知体会" +authors: [techcamp] +tags: [ai, architecture, career, compiler, engineering, go, xgo] +date: 2025-02-14 +description: "一提到架构，很多人脑海中浮现的可能是高并发、高可用、微服务、分布式这些听起来就很\"技术\"的词汇。似乎只有那些处理海量数据、支撑千万用户的系统才需要做架构设计，而日常的业务开发，就是按需求写代码，哪里需要什么架构？" +--- 架构设计，在很多人眼里是个高大上的话题。 diff --git "a/website/blog/2025-02-14-\345\205\263\344\272\216\346\236\266\346\236\204\350\256\276\350\256\241\347\232\204\345\207\240\347\202\271\350\256\244\347\237\245\344\275\223\344\274\232.md" "b/website/blog/2025-02-14-\345\205\263\344\272\216\346\236\266\346\236\204\350\256\276\350\256\241\347\232\204\345\207\240\347\202\271\350\256\244\347\237\245\344\275\223\344\274\232.md" new file mode 100644 index 0000000..9e5b237 --- /dev/null +++ "b/website/blog/2025-02-14-\345\205\263\344\272\216\346\236\266\346\236\204\350\256\276\350\256\241\347\232\204\345\207\240\347\202\271\350\256\244\347\237\245\344\275\223\344\274\232.md" @@ -0,0 +1,107 @@ +--- +slug: 关于架构设计的几点认知体会 +title: "关于架构设计的几点认知体会" +authors: [techcamp] +tags: [ai, architecture, career, compiler, engineering, go, xgo] +date: 2025-02-14 +description: "一提到架构，很多人脑海中浮现的可能是高并发、高可用、微服务、分布式这些听起来就很技术的词汇。似乎只有那些处理海量数据、支撑千万用户的系统才需要做架构设计，而日常的业务开发，就是按需求写代码，哪里需要什么架构？" +--- + +架构设计，在很多人眼里是个高大上的话题。 + +一提到架构，很多人脑海中浮现的可能是高并发、高可用、微服务、分布式这些听起来就很"技术"的词汇。似乎只有那些处理海量数据、支撑千万用户的系统才需要做架构设计，而日常的业务开发，就是按需求写代码，哪里需要什么架构？ + +恰恰相反，在我看来，这种认知是对架构设计的误解。不管是啥项目，要想把它做好，其实都需要一定的架构设计。架构设计也没那么神秘，我们不需要奢望一步到位，也不必追求“终极方案”，只需要围绕业务目标做好拆分，把边界划清、把职责理顺，其实就是好架构的起点。 + +那到底该如何做架构设计呢？ + +实训营导师和不少行业大咖都有一些见解，建议大家参考： + +- https://mp.weixin.qq.com/s/_EL42S5K4CCaGjoc66e-eg +- https://mp.weixin.qq.com/s/8lRE6bfWAj8fdUe_5q32Pw + +我这里也想聊聊我的一些发现和认知。 + +## 架构设计不光是个技术问题，也是个协作问题 + +在过去，你一个人写的项目，可能确实不需要做架构设计，起码不一定需要写成专门的架构设计文档。一个人的项目，边界和接口都在你脑子里，想怎么改就怎么改，出了问题也是自己承担。 + +但在企业里不同，很少有单打独斗的场景。即使是小团队的项目，通常也需要前后端协作。这时候，如果没有清晰的架构设计，可能就会有问题： + +- **边界不清**：你理解的"用户模块"和我理解的可能完全不一样，到底包含哪些功能？ +- **接口混乱**：今天你返回一个对象，明天我需要一个数组，后天又要加个字段 +- **集成困难**：各自开发时都没问题，一合并就到处报错 +- **维护灾难**：过了几个月，谁都不记得当初为什么要这么写 + +更重要的是，在当下的 AI 时代，这个问题将更加突出。即便是当前最优秀的模型（如 Claude），如果缺乏必要的约束与预先设计，也会经常产出"屎山代码"，"粘合代码"，长期积累不仅无法提质增效，反而会带来维护成本攀升与演进受阻的风险。 + +所以，我们特别建议，大家编码前要先做架构设计，这也是我们 1024 实训营倡导的规范。 + +## 方框图不是架构设计，起码不应该是架构表达的重点 + +这点，我发现很多同学可能没意识到。 + +在实训营项目路演时，尤其在早期，我们希望通过 "你做我看" 的形式让同学们真切体会到做生产级项目可能遇到的问题。 + +然而，每一届同学在讲架构的时候，都会有同学拿方框图来聊。 + +类似这种: + +```mermaid +graph LR + A[前端] --> B[后端] + B --> C[数据库] + A --> D[用户模块] + B --> E[业务逻辑] + C --> F[存储层] +``` + +实际上我挺不推荐用方框图来表达架构的，起码它不应该作为架构表达的重点。因为方框图的信息密度太低、约束性太小，并不适合作为团队内部协作。甚至在我看来，方框图本质是给“外人”看的，给不需要深度参与本项目的人看的。与其花精力用 PPT 做这种图，不如手画来得利索。 + +那什么才是用来做架构设计的重点呢？ + +我觉得，好的架构设计应该重点关注**接口约定**、**数据流向**和**边界定义**。说得再直白些，就是要把"谁负责什么"、"怎么交互"、"数据从哪来到哪去"这些问题说清楚。 + +比如说，与其画个方框图写"用户模块"，不如直接定义清楚： + +- 用户注册接口的入参和出参是什么，或者对应 API 长什么样 +- 用户状态有哪几种，状态之间如何流转 +- 用户数据在各个模块间如何传递 + +这些才是真正需要团队成员协作时用得上的信息。毕竟，大家坐在一起写代码的时候，不会去翻那个精美的方框图，而是会问"这个接口返回什么格式"、"这个字段是必填的吗"、"出错了应该返回什么状态码"等等。 + +## 架构设计要紧贴产品，不能本末倒置 + +架构不是为技术堆料，而是为产品结果服务。不同的产品方向，会导致实现差异很大。所以做架构前，一定要讨论清楚产品方向，最好要有完善的 PRD，即使没有，那也要搞清楚用户故事。 + +第四期 1024 实训营就有个议题是智能运维项目，而这个智能运维项目到底是做成旁路的观察者角色，还是带运维动作的智能平台，很明显差别很大。团队早期就在这个地方花了很多精力来讨论、对齐，这是非常有必要的。 + +另外，我看 XGo 用户群里就有人戏说 ”架构最大的敌人是销售“、 ”销售觉得对他最大的制肘就是技术“、”产品没做出来之前，技术都是宝宝，做出来之后都是牛夫人“，都是挺有意思的言论，可见离开产品聊技术本身就是不行的。 + +## 关键技术决策很重要，值得花大精力 + +要什么、不要什么，这很重要。每一项重大决策都应该是有缘由的，不能拍脑袋。 + +太阳底下，没有新鲜事。尤其现在，互联网上资源这么丰富，大家面临的绝大部分场景都是工程问题，鲜少有“你面临的问题就是独一无二的”这种情况。在这种情况下，在架构设计的早期（通常是概要设计阶段），就应该尽可能充分调研、尝试、比较，把不确定的问题尽早确定，不要闭门造车。 + +比如数据库选型，是选择关系型数据库还是非关系型，是选择时序数据库还是要上数仓？协议是用 REST API 还是用 gRPC？部署形态是物理机还是选择云原生集群？关键库，比如要做编辑器，是用 Tiptap 还是 Monaco？等等，不同项目考虑的点也会不同。 + +不过，通常能上升到关键技术决策的，都是可能影响项目成败的关键因素，是值得花大精力来对待的。 + +## 最好的详细设计，是直接用代码串起核心流程 + +当大的方向确定之后，我们通常会来到详细设计环节。在这个环节我们需要做好模块拆分、边界定义以及关键实体的设计。 + +这个环节其实比较考验编码能力。如何把复杂问题拆解成独立子问题、什么样的模块和边界最合适且更优雅，都需要权衡。而且有时候选择也不唯一。 + +但没关系，作为工程师我们本身这块就需要不断练习的，多想、多看、多试就好了。尤其是大家日常可以多看看一些有名的开源项目，若能参与其中本身也是很好的历练。 + +另外，现在在 AI 加持下，详细设计可以不仅仅局限在文档上，我们完全可以在设计的同时，通过 AI 将核心流程实现并串起来，这样才更有说服力。 + +毕竟，文档再严谨，也不如一段能编译运行的代码更经得起检验。你说呢？ + +## 最后 + +在我看来，架构设计是一门偏实战的学问，比较难以言传的，不过它确实对工程师发展来说很关键。 + +正因为如此，在 1024 实训营中，我们把架构设计作为我们重点传递和布道的能力。我们希望同学们在职场的初期，就能建立架构的感觉，形成良好的做事习惯，也能为大家以后的职业发展形成助力。 diff --git a/website/blog/2025-02-16-spx-algorithm-building-multimodal-search-service.md b/website/blog/2025-02-16-spx-algorithm-building-multimodal-search-service.md new file mode 100644 index 0000000..53fb6aa --- /dev/null +++ b/website/blog/2025-02-16-spx-algorithm-building-multimodal-search-service.md @@ -0,0 +1,171 @@ +--- +slug: spx-algorithm-building-multimodal-search-service +title: "SPX-Algorithm：构建多模态搜索服务的一些心得" +authors: [techcamp] +tags: [ai, architecture, best-practices, engineering, go] +date: 2025-02-16 +description: "也是快到结营阶段了，关于我在实训营期间负责的 SPX-Algorithm 这个项目模块的设计思路，想着写个分享记录一下这段时间的心得体会。这个项目说起来其实就是个图文搜索服务，但做下来发现里面还挺有意思的，尤其是在架构设计和工程实践方面踩了不少坑，也有一些收获。" +--- + +## 写在前面 + +也是快到结营阶段了，关于我在实训营期间负责的 SPX-Algorithm 这个项目模块的设计思路，想着写个分享记录一下这段时间的心得体会。这个项目说起来其实就是个图文搜索服务，但做下来发现里面还挺有意思的，尤其是在架构设计和工程实践方面踩了不少坑，也有一些收获。 + +## 项目背景和定位 + +SPX-Algorithm本质上是一个图像搜索推荐模块。用户输入文本描述，系统从图片库里找出最相关的结果。听起来简单，但实际做起来发现挑战不少。 + +传统的图片搜索主要靠标签匹配，但这种方式局限性很明显。图片的标签往往不够丰富，用户的表达又很灵活。所以我的目标很明确：用AI来理解文本和图片的语义，让搜索更智能。 + +## 整体架构思路 + +经过一段时间的摸索，最终采用了分层架构设计： + +```text +API层 ← 对外接口，简洁易用 +协调层 ← 编排各种算法模块 +服务层 ← 图文匹配 + 重排序 +数据层 ← 向量存储 + 用户反馈数据存储 +``` + +### 为什么选择分层架构？ + +1. **职责清晰**：每一层只关心自己的事情，降低耦合 +2. **易于扩展**：加新功能时只需要在对应层面改动 +3. **便于测试**：每层都可以独立测试和调试 +4. **未来团队协作**：不同人可以专注不同层面的开发 + +## 核心模块设计 + +### 图文匹配服务 + +这是算法实现的核心模块，负责理解用户查询并召回相关图片。 + +选择CLIP模型主要是因为它能把文本和图片映射到同一个语义空间。我们用的是OpenCLIP的ViT-B-32，512维向量输出。这个选择是经过权衡的： + +- 效果足够好，能理解复杂的语义关系 +- 推理速度快，满足线上服务需求 +- 社区成熟，资料多坑少 + +向量存储用的Milvus，主要看中它对大规模向量检索的优化。 + +### 重排序服务 + +图文匹配召回的结果虽然相关，但排序质量还有提升空间。这时候就需要重排序来精调。 + +我们采用 LTR 的思路，基于用户的真实反馈来训练排序模型。整个设计围绕"用户反馈闭环"展开： + +1. **反馈收集**：用户每次搜索后的点击行为都会被记录下来 +2. **训练数据构建**：从点击行为中提取pairwise训练样本，被选中的图片作为正样本，未选中的作为负样本 +3. **模型训练**：使用神经网络学习用户偏好模式 +4. **在线重排序**：训练好的模型对搜索结果进行重新排序 + +这种设计的好处是能够持续学习用户偏好，越用越准。但也有挑战，比如冷启动问题、反馈噪声处理等。 + +### 搜索协调器 + +为了统一管理多个算法服务，我们设计了SearchCoordinator。它的作用是编排整个搜索流程： + +1. 调用图文匹配服务进行粗排召回 +2. 如果启用了重排序，调用重排序服务进行细排 +3. 返回最终的排序结果 + +这个设计让我们能够灵活控制算法流程，比如可以随时开关重排序功能，方便做A/B测试。 + +## API设计理念 + +在接口设计上，我们遵循了"对外简洁，对内丰富"的原则，主要分为三类接口： + +### 资源管理接口 (`/v1/resource/`) + +- `POST /add`：添加单个资源 +- `POST /batch`：批量添加资源 +- `POST /search`：基于文本的语义搜索 +- `POST /match`：基于图片的语义搜索 + +### 用户反馈接口 (`/v1/feedback/`) + +- `POST /submit`：提交用户点击反馈 +- `GET /stats`：查看反馈统计信息 +- `GET /recent`：获取最近的反馈数据 +- `POST /train`：触发模型训练 +- `GET /model/status`：查看模型状态 +- `POST /model/enable|disable`：启用/禁用重排序 + +### 内部调试接口 (`/v1/internal/`) + +- 向量数据管理：查看、搜索向量数据 +- 资源管理：列表查询、删除操作 +- 数据库状态：详细的系统状态信息 + +这样设计的好处是业务方使用简单（只需要关心resource接口），反馈收集独立成模块（便于数据科学团队使用），同时我们内部有足够的工具来监控和调试系统。 + +## 踩过的坑和解决方案 + +### SVG处理问题 + +我们的图片库有很多SVG格式的图片，但CLIP模型只能处理位图。最初直接用Pillow转换，发现效果很差——SVG的矢量信息丢失了。 + +后来改用CairoSVG来处理，质量明显提升。 + +这个经历让我意识到：**看似简单的问题往往有很多细节**。 + +### 向量存储优化 + +最初我们把所有向量数据都放在内存里，随着数据量增长很快就撑不住了。 + +迁移到Milvus后，发现索引类型的选择很关键。我们试了IVF、HNSW等几种索引，最终选择HNSW是因为它在我们的数据规模下召回率和速度表现最均衡。 + +### 重排序特征设计 + +重排序模块我们改了好几版。最初用10维手工特征，包括余弦相似度、欧氏距离、向量模长等。后来发现CLIP向量已经归一化了，模长特征基本没用。 + +最终改成了神经网络方案，用1500多维的丰富特征，包括原始向量、统计特征等。虽然维度高了很多，但信息保留更完整。 + +### 配置管理混乱 + +项目初期配置管理比较随意，开发、测试、生产环境的配置经常搞混。后来统一用dataclass重新设计了配置系统，按环境分离，清爽了很多。 + +## 一些工程实践心得 + +### 日志和监控 + +每个关键模块都加了详细的日志，包括： + +- 请求响应时间 +- 数据库操作耗时 +- 搜索结果统计 +- 异常情况记录 + +这些数据在出问题时特别有用，能快速定位根因。 + +### 错误处理 + +对于算法服务来说，容错很重要。我们的策略是： + +- 单个服务出错不影响整体功能 +- 重排序失败时返回粗排结果 +- 向量服务异常时走降级逻辑 + +### 测试策略 + +除了常规的单元测试，我们还设计了端到端的功能测试。特别是对于机器学习模块，我们会构造一些已知结果的测试用例，确保算法逻辑正确。 + +## 未来的一些想法 + +1. **多模态融合**：除了CLIP，考虑加入其他视觉理解能力 +2. **个性化搜索**：结合用户历史行为做个性化排序 +3. **特征学习**：让模型能更好地适应用户偏好 +4. **效果评估**：建立更完善的线上效果评估体系 + +## 总结 + +做SPX-Algorithm这个项目最大的收获是：**好的架构设计比炫酷的算法更重要**。 + +技术选型要务实，不要为了用新技术而用新技术。我们选择CLIP、Milvus这些相对成熟的方案，主要考虑的是稳定性和可维护性。 + +工程实践要细致，很多看起来简单的问题往往有很多坑。配置管理、错误处理、日志监控这些"脏活累活"往往决定了系统能不能稳定运行。 + +最后，用户反馈闭环很重要。我们通过收集用户的真实行为数据来持续优化算法效果，这比闭门造车要有效得多。 + +希望这些分享对大家有用。如果有问题欢迎交流讨论！ diff --git "a/2025/17. \345\256\236\350\256\255\350\220\245\345\277\203\345\276\227\345\210\206\344\272\253/share.md" "b/website/blog/2025-02-16-spx-algorithm\346\236\204\345\273\272\345\244\232\346\250\241\346\200\201\346\220\234\347\264\242\346\234\215\345\212\241\347\232\204\344\270\200\344\272\233\345\277\203\345\276\227.md" similarity index 92% rename from "2025/17. \345\256\236\350\256\255\350\220\245\345\277\203\345\276\227\345\210\206\344\272\253/share.md" rename to "website/blog/2025-02-16-spx-algorithm\346\236\204\345\273\272\345\244\232\346\250\241\346\200\201\346\220\234\347\264\242\346\234\215\345\212\241\347\232\204\344\270\200\344\272\233\345\277\203\345\276\227.md" index 8670066..b24e8a3 100644 --- "a/2025/17. \345\256\236\350\256\255\350\220\245\345\277\203\345\276\227\345\210\206\344\272\253/share.md" +++ "b/website/blog/2025-02-16-spx-algorithm\346\236\204\345\273\272\345\244\232\346\250\241\346\200\201\346\220\234\347\264\242\346\234\215\345\212\241\347\232\204\344\270\200\344\272\233\345\277\203\345\276\227.md" @@ -1,4 +1,11 @@ -# SPX-Algorithm：构建多模态搜索服务的一些心得 +--- +slug: spx-algorithm构建多模态搜索服务的一些心得 +title: "SPX-Algorithm：构建多模态搜索服务的一些心得" +authors: [techcamp] +tags: [ai, architecture, engineering, go] +date: 2025-02-16 +description: "也是快到结营阶段了，关于我在实训营期间负责的 SPX-Algorithm 这个项目模块的设计思路，想着写个分享记录一下这段时间的心得体会。这个项目说起来其实就是个图文搜索服务，但做下来发现里面还挺有意思的，尤其是在架构设计和工程实践方面踩了..." +--- ## 写在前面 diff --git a/website/blog/2025-02-18-code-is-not-core-decision-layers-in-xlink-project.md b/website/blog/2025-02-18-code-is-not-core-decision-layers-in-xlink-project.md new file mode 100644 index 0000000..925397a --- /dev/null +++ b/website/blog/2025-02-18-code-is-not-core-decision-layers-in-xlink-project.md @@ -0,0 +1,127 @@ +--- +slug: code-is-not-core-decision-layers-in-xlink-project +title: "代码不是核心：从 XLink 项目看产品开发的决策层次" +authors: [techcamp] +tags: [ai, architecture, best-practices, career, engineering, go] +date: 2025-02-18 +description: "在正在进行的 1024 实训营中，我们团队开发了 [XLink](https://github.com/goplus/builder/tree/trailhead_sharing) 项目，一个旨在让 [XBuilder](https://xbuilder.com/) 分享更丝滑的产品。通过这个项目的..." +--- + +在正在进行的 1024 实训营中，我们团队开发了 [XLink](https://github.com/goplus/builder/tree/trailhead_sharing) 项目，一个旨在让 [XBuilder](https://xbuilder.com/) 分享更丝滑的产品。通过这个项目的实践，我深刻意识到一个被很多程序员忽视的真相：**在整个产品开发流程中，代码的具体实现往往是最不重要的环节。** + +真正决定产品成败的，是前期的重要决策、系统架构设计和技术选型。代码只是这些决策的具体体现，是“术”而非“道”。 + +## 决策层次：为什么代码实现排在最后？ + +基于 XLink 项目的开发经验，我将产品开发的重要性划分为以下层次： + +1. **第一层：产品定位与目标用户决策** — 决定做什么，为谁做； +2. **第二层：系统架构设计与技术选型** — 决定怎么做，用什么做； +3. **第三层：接口设计与开发流程** — 决定具体怎么协作； +4. **第四层：代码实现**（相对不重要） — 将决策落地。 + +这种层次划分不是说代码不重要，而是说**上层决策的错误，无法通过下层的优秀实现来弥补**。就像建房子，地基选址错了，再精美的装修也救不了这栋房子。 + +## 第一层决策：产品定位与目标用户决策 + +### XLink 的用户调研实践 + +在 XLink 项目初期，我们进行了大量的产品调研工作。我们的核心目标是让 XBuilder 的分享更加丝滑，提高用户分享意愿。 + +在竞品分析阶段，我们发现了一个非常有趣的机会点：**支持用户在 project 页面编程过程的录屏功能，并一键投稿到相关平台**。这个功能在现有的同类平台中都没有出现过，我们认为这将是一个极具创新性和差异化的特性。从技术角度来看，这个功能的实现路径也很清晰，技术实现并不复杂，这让我们一度比较兴奋。 + +### 关键决策时刻：目标用户的精准定位 + +然而，在深入分析目标用户时，我们面临了一个关键选择： + +- **选项 A：面向编程教育者** — 他们需要录屏功能来制作教学内容； +- **选项 B：面向游戏创作者** — 他们主要关注游戏作品的展示和分享。 + +经过深入的用户画像分析和访谈，我们最终决定**将目标用户定位为游戏创作者，而非编程相关的教育者**。基于这个决策，我们放弃了录屏功能的开发。 + +### 决策的价值：避免产品设计的无底洞 + +这个决策看似“浪费”了一个创新点，但实际上体现了产品开发中最重要的原则：**如果不做好用户定位决策，产品设计会变成一个无底洞，陷入对“完美”的无尽追求。** + +对于游戏创作者来说，他们更关心的是：1）游戏作品的快速展示；2）社区互动和反馈；3）便捷的分享渠道。 + +而录屏编程过程对他们来说价值有限。如果我们盲目追求功能的“完整性”，最终可能做出一个功能繁杂但核心价值不清晰的产品。 + +## 第二层决策：系统架构设计与技术选型 + +### 架构设计的核心原则 + +在模块依赖设计上，我们遵循三个核心原则： + +1. **调用关系清晰**：明确定义调用者和被调用者的关系，避免循环依赖。 + +2. **模块独立性**：各模块保持相对独立，通过统一接口进行交互，降低模块间的耦合度。 + +3. **拿来就用原则**：确保调用者在调用其他模块时无需考虑过多细节，不将与本模块无关的逻辑加到调用者身上。 + +例如，三种分享方式的弹窗模块在调用第三方平台模块时，只需要关注平台模块返回什么就展示什么，无需编写额外的平台差异判断逻辑，所有平台适配工作都由第三方平台模块内部处理。详细的架构设计可参考 [XLink 技术文档](https://github.com/goplus/builder/blob/trailhead_sharing/docs/develop/share/index.md)。 + +这种设计让**新增分享平台或调整分享策略时，只需修改对应模块内部实现，而不会影响调用方的代码稳定性。** + +### 技术选型的务实策略 + +在技术选型上，我们遵循“**够用就好，团队优先**”的原则，而非追求最新最酷的技术。以后端技术为例，我们选择： + +- **七牛云自研 [yap 框架](https://github.com/goplus/yap)**：提供成熟的 HTTP 服务能力和中间件支持； +- **MySQL + Kodo + Redis**：形成完整的数据存储解决方案，MySQL 负责结构化数据，Kodo 负责文件存储，Redis 负责缓存和会话管理。 + +## 第三层决策：接口设计与开发流程 + +### 接口先行的开发模式 + +在开始具体编码之前，我们用 TypeScript 详细定义了所有模块间的接口规范和数据结构。这种接口先行的方式带来了几个关键好处： + +1. **并行开发能力**：前后端可以完全并行开发，不需要等待对方的具体实现； + +2. **架构验证机制**：迫使我们提前思考模块间的交互逻辑，避免后期的架构调整； + +3. **集成风险控制**：接口契约确保了模块间的兼容性，降低了系统集成时的风险。 + +### 前后端协作的开发流程 + +以后端开发为例，在与前端确定接口后，我们按照既定的开发模板执行：从 API 接口定义到路由层、Controller 层、Model 层的标准化实现流程，确保代码结构清晰且易于维护。这种自上而下的开发流程，让前端可以基于接口文档进行并行开发，而后端则按照清晰的分层逻辑逐步实现功能。 + +## 第四层实现：代码质量的相对重要性 + +### 代码实现的正确定位 + +当完成了前三层的决策后，代码实现就变成了相对机械的工作。**好的架构设计会让代码实现变得更简单、更清晰**。在 XLink 项目中，由于前期的模块划分和接口定义到位，实际编码过程非常顺畅，每个功能的实现逻辑都很直观，职责边界清晰明确。 + +### 持续迭代中的接口演进 + +在实际开发过程中，我们也遇到了一些设计上的挑战。比如，最初设计的分享接口过于简单，无法支持某些平台的特定要求。这时候，我们没有在代码层面打补丁，而是**回到接口设计层面进行调整**。我们为分享接口增加了平台特定参数的支持，让接口能够灵活适应不同平台的个性化需求。 + +这种“向上修正”的方式，确保了系统架构的一致性和可维护性，避免了技术债务的积累。 + +## 实践心得：从 Code Monkey 到 Product Engineer + +通过 XLink 项目的开发，思维上发生了以下转变： + +- **技术决策的商业思维。** 每一个技术决策都不是孤立的，而是要服务于产品目标和用户价值。比如我们放弃录屏功能的决策，从技术角度看可能是“保守”的，但从产品角度看是“聚焦”的。 + +- **架构设计的前瞻性思维。** 好的架构设计不是一步到位的，而是在实现过程中不断验证和调整的结果。但这种调整应该基于架构层面的思考，而不是代码层面的打补丁。 + +- **团队协作的系统性思维。** 模块划分和接口设计不仅仅是技术问题，更是团队协作的组织问题。好的技术架构能够支撑高效的团队协作，这比单纯的代码优化更有价值。 + +## 结语：重新审视技术工作的价值层次 + +在 XLink 项目即将完成的这个节点，回顾整个开发过程，我最大的收获是重新认识了技术工作的价值层次。 + +- **代码是载体，不是目的。** 再精美的代码，如果承载的是错误的产品方向或混乱的架构设计，其价值都是有限的。 + +- **决策是根本，实现是枝叶。** 产品定位、用户需求、架构设计这些“决策型”工作，比具体的编码实现更能决定项目的成败。 + +- **工程师的成长，应该是决策能力的成长。** 从单纯的功能实现者，成长为能够进行产品和技术决策的工程师，这才是真正的价值提升。 + +在 AI 时代，纯粹的编码工作会越来越被自动化工具替代，但产品洞察、架构设计、技术决策这些能力将变得更加珍贵。XLink 项目让我明白，优秀的程序员不应该只是代码的搬运工，而应该成为产品价值的创造者。 + +--- + +## 附录：XLink 项目简介 + +XLink 是本期 1024 实训营中我们团队开发的项目，旨在让 XBuilder 的分享更加丝滑。通过深入的用户研究和产品设计，XLink 专注于游戏创作者的分享需求，提供了便捷的作品展示、社区互动和多平台分发功能。该项目目前正在持续开发中，预计将为 XBuilder 生态带来更好的内容传播体验。 diff --git "a/2025/16. \344\273\243\347\240\201\344\270\215\346\230\257\346\240\270\345\277\203\357\274\232\344\273\216 XLink \351\241\271\347\233\256\347\234\213\344\272\247\345\223\201\345\274\200\345\217\221\347\232\204\345\206\263\347\255\226\345\261\202\346\254\241/content.md" "b/website/blog/2025-02-18-\344\273\243\347\240\201\344\270\215\346\230\257\346\240\270\345\277\203\344\273\216-xlink-\351\241\271\347\233\256\347\234\213\344\272\247\345\223\201\345\274\200\345\217\221\347\232\204\345\206\263\347\255\226\345\261\202\346\254\241.md" similarity index 95% rename from "2025/16. \344\273\243\347\240\201\344\270\215\346\230\257\346\240\270\345\277\203\357\274\232\344\273\216 XLink \351\241\271\347\233\256\347\234\213\344\272\247\345\223\201\345\274\200\345\217\221\347\232\204\345\206\263\347\255\226\345\261\202\346\254\241/content.md" rename to "website/blog/2025-02-18-\344\273\243\347\240\201\344\270\215\346\230\257\346\240\270\345\277\203\344\273\216-xlink-\351\241\271\347\233\256\347\234\213\344\272\247\345\223\201\345\274\200\345\217\221\347\232\204\345\206\263\347\255\226\345\261\202\346\254\241.md" index f6043c8..13508ee 100644 --- "a/2025/16. \344\273\243\347\240\201\344\270\215\346\230\257\346\240\270\345\277\203\357\274\232\344\273\216 XLink \351\241\271\347\233\256\347\234\213\344\272\247\345\223\201\345\274\200\345\217\221\347\232\204\345\206\263\347\255\226\345\261\202\346\254\241/content.md" +++ "b/website/blog/2025-02-18-\344\273\243\347\240\201\344\270\215\346\230\257\346\240\270\345\277\203\344\273\216-xlink-\351\241\271\347\233\256\347\234\213\344\272\247\345\223\201\345\274\200\345\217\221\347\232\204\345\206\263\347\255\226\345\261\202\346\254\241.md" @@ -1,4 +1,11 @@ -# 代码不是核心：从 XLink 项目看产品开发的决策层次 +--- +slug: 代码不是核心从-xlink-项目看产品开发的决策层次 +title: "代码不是核心：从 XLink 项目看产品开发的决策层次" +authors: [techcamp] +tags: [ai, architecture, career, engineering, go] +date: 2025-02-18 +description: "在正在进行的 1024 实训营中，我们团队开发了 [XLink](https://github.com/goplus/builder/tree/trailhead_sharing) 项目，一个旨在让 [XBuilder](https://x..." +--- 在正在进行的 1024 实训营中，我们团队开发了 [XLink](https://github.com/goplus/builder/tree/trailhead_sharing) 项目，一个旨在让 [XBuilder](https://xbuilder.com/) 分享更丝滑的产品。通过这个项目的实践，我深刻意识到一个被很多程序员忽视的真相：**在整个产品开发流程中，代码的具体实现往往是最不重要的环节。** diff --git a/website/blog/2025-02-20-llpyg-bridge-for-llgo-python-integration.md b/website/blog/2025-02-20-llpyg-bridge-for-llgo-python-integration.md new file mode 100644 index 0000000..9dd2d81 --- /dev/null +++ b/website/blog/2025-02-20-llpyg-bridge-for-llgo-python-integration.md @@ -0,0 +1,195 @@ +--- +slug: llpyg-bridge-for-llgo-python-integration +title: "llpyg: LLGo 快速集成 Python 生态的桥梁" +authors: [techcamp] +tags: [ai, career, compiler, engineering, go, llgo, python] +date: 2025-02-20 +description: "[LLGo](https://github.com/goplus/llgo) 是一款基于 LLVM 的 Go 编译器，通过 LLVM 为 Go 语言整合了 C 和 Python 语言生态，让开发者可以更工程化地在 Go 中使用海量的 Python 生态库，比如直接使用 numpy、torch 等库。" +--- + +## 前言 + +[LLGo](https://github.com/goplus/llgo) 是一款基于 LLVM 的 Go 编译器，通过 LLVM 为 Go 语言整合了 C 和 Python 语言生态，让开发者可以更工程化地在 Go 中使用海量的 Python 生态库，比如直接使用 numpy、torch 等库。 + +要实现在 Go 中使用 Python 库，需要有对应的 LLGo Bindings 代码，才能通过 LLGo 的二进制接口 (ABI) 调用 Python 库。生成一个 Python 库对应的接口代码，需要对库中定义的函数、类、变量等符号进行映射。但完全依赖人工的映射过程不仅效率低下，且极易引入难以察觉的错误。特别是当面对包含成百上千个 API 的大型 Python 库时，这种手动映射工作几乎成为不可能完成的任务。正是基于解决这一核心痛点的迫切需求，llpyg 自动化生成工具应运而生，旨在将这个耗时且易错的手动过程转变为高效、准确的自动化过程。 + +## 核心功能 + +### 符号提取 + +通过 Python 运行时反射机制，动态获取 Python 模块中的符号信息： +- 基于 CPython API，提取模块中的变量、函数、类等各类符号信息。 +- 支持从文档注释中提取 C 扩展函数的签名信息。 + +### 签名解析 + +根据函数/方法的签名字符串，解析出所包含的参数信息： +- 支持解析可选参数、默认参数、位置参数、关键字参数等。 +- 通过签名中的 `/` 和 `*` 等符号，对参数进行分组。 + +### 代码生成 + +在代码生成方面，llpyg： +- 支持函数、类、变量等 Python 对象的代码生成。 +- 支持类继承、类方法、类属性等 Python 语言特性。 +- 自动生成符合 Go 语言风格的函数、结构体和方法。 + +## 工作流程 + +llpyg 项目结构如下： + +```mermaid +graph TD + A[llpyg] --> B[pyenv] + A --> C[pymodule] + A --> D[pygen] + + D --> E[pydump] + D --> F[pysig] +``` +整体流程如下： +1. 执行 `pyenv`，设置 Python 路径，对环境进行检查。 +2. 执行 `pymodule`，获取 Python 库的多级模块名，生成配置文件。 +3. 逐模块执行 `pygen`，生成 LLGo Bindings 代码。 + +`pygen` 具体流程如下： +1. 执行 `pydump`，获取 Python 库的符号信息，包括函数、类等信息。 +2. 执行 `pysig`，解析 Python 函数和方法签名。 +3. 根据符号和签名信息使用工具 `gogen` 生成 Go 代码。 + + +## 符号映射 + +在 llpyg 中，我们使用通用类型 `py.Object` 来表示 Python 对象。每一个 Python 对象都可以被映射为 `py.Object` 类型。 +```go +type Object struct { + Unused [0]byte +} +``` +对于 Python 模块中定义的全局函数，我们使用包级别的函数来进行映射，传入参数类型统一为 `*py.Object`。 +```go +//go:linkname Add py.add +func Add(x1 *py.Object, x2 *py.Object) *py.Object +``` + +为了提供对于 Python 类的支持，我们使用结构体来表示 Python 类，通过结构体嵌入实现类似继承的效果： +```go +type Animal struct { + py.Object +} + +type Dog struct { + Animal +} +``` +针对每一个 Python 类，我们提供了一个包级别的构造函数 `New[ClassName]` 用于创建实例： +```go +//go:linkname NewAnimal py.Animal +func NewAnimal(name *py.Object) *Animal +``` +对于实例方法，我们将其转为结构体方法： +```go +//llgo:link (*Dog).Run py.Dog.run +func (*Dog) Run() *py.Object { + return nil +} +``` +对于类实例中存在的 property 属性，我们将其拆分为了 `get` 和 `set` 方法： +```go +//llgo:link (*Dog).Age py.Dog.age.__get__ +func (*Dog) Age() *py.Object { + return nil +} + +//llgo:link (*Dog).SetAge py.Dog.age.__set__ +func (*Dog) SetAge(age *py.Object) { +} +``` + + +## 运行示例 + +接下来，我们以 numpy 库为例，展示 llpyg 的使用方法。 + +### 程序输入 +用户可以通过以下命令一键生成 numpy 库的 LLGo Bindings 代码： +```bash +llpyg numpy +``` +同时支持在命令中添加以下参数： +- `-o`: 指定 LLGo Bindings 代码的输出目录 +- `-mod`: 为生成的 LLGo Bindings 初始化为 Go Module +- `-d`: 期望转换的 Python 库的模块的最大深度 + +用户还可以通过编写配置文件的方式来生成 LLGo Bindings 代码： +```bash +llpyg llpyg.cfg +``` +配置文件示例如下： +```json +{ + "name": "numpy", + "libName": "numpy", + "modules": [ + "numpy", + "numpy.random" + ] +} +``` +- `name`: 生成的 Go Package 名称 +- `libName`: 要转换的 Python 库名称 +- `modules`: 要转换的 Python 库的模块 + +### 输出结果 + +llpyg 会将生成的代码组织为一个 Go Module，结构如下： +```text +numpy +├── numpy.go // 主模块 LLGo Bindings 文件 +├── random +│ └── random.go // 子模块 LLGo Bindings 文件 +├── go.mod +├── go.sum +└── llpyg.cfg // 配置文件 +``` +Go 文件中存放 Python 模块对应的 LLGo Bindings 代码。例如，对于 `numpy.add` 函数： +```Python +numpy.add(x1, x2) +``` +llpyg 生成的 LLGo Binding 为： +```go +//go:linkname Add py.add +func Add(x1 *py.Object, x2 *py.Object) *py.Object +``` + +### 使用示例 + +用户可以像使用 Go 函数一样使用 Python 函数： +```go +import ( + "github.com/goplus/lib/py" + "github.com/goplus/lib/py/std" + "github.com/goplus/llpyg/numpy" +) + +func main() { + a := py.List(1, 2, 3) + b := py.List(4, 5, 6) + res := numpy.Add(a, b) + std.Print(py.Str("a+b ="), res) +} +``` +输出： +```text +a+b = [5 7 9] +``` + +## 未来发展 + +llpyg 正致力于扩展其功能，包括： +- 支持更多 Python 语言特性，如装饰器、生成器等。 +- 实现更精确的类型推断和转换。 +- 逐步探索 Python 生态中复杂库的生成能力。 + +通过持续优化，llpyg 将为 LLGo 开发者提供更高效、更可靠的 Python 库绑定生成工具，进一步推动 Go 和 Python 生态的融合。 + diff --git "a/2025/17. llpyg: LLGo \345\277\253\351\200\237\351\233\206\346\210\220 Python \347\224\237\346\200\201\347\232\204\346\241\245\346\242\201/content.md" "b/website/blog/2025-02-20-llpyg-llgo-\345\277\253\351\200\237\351\233\206\346\210\220-python-\347\224\237\346\200\201\347\232\204\346\241\245\346\242\201.md" similarity index 92% rename from "2025/17. llpyg: LLGo \345\277\253\351\200\237\351\233\206\346\210\220 Python \347\224\237\346\200\201\347\232\204\346\241\245\346\242\201/content.md" rename to "website/blog/2025-02-20-llpyg-llgo-\345\277\253\351\200\237\351\233\206\346\210\220-python-\347\224\237\346\200\201\347\232\204\346\241\245\346\242\201.md" index fe88196..f437d81 100644 --- "a/2025/17. llpyg: LLGo \345\277\253\351\200\237\351\233\206\346\210\220 Python \347\224\237\346\200\201\347\232\204\346\241\245\346\242\201/content.md" +++ "b/website/blog/2025-02-20-llpyg-llgo-\345\277\253\351\200\237\351\233\206\346\210\220-python-\347\224\237\346\200\201\347\232\204\346\241\245\346\242\201.md" @@ -1,4 +1,11 @@ -# llpyg: LLGo 快速集成 Python 生态的桥梁 +--- +slug: llpyg-llgo-快速集成-python-生态的桥梁 +title: "llpyg: LLGo 快速集成 Python 生态的桥梁" +authors: [techcamp] +tags: [ai, career, compiler, engineering, go, llgo, python] +date: 2025-02-20 +description: "[LLGo](https://github.com/goplus/llgo) 是一款基于 LLVM 的 Go 编译器，通过 LLVM 为 Go 语言整合了 C 和 Python 语言生态，让开发者可以更工程化地在 Go 中使用海量的 Pyt..." +--- ## 前言 diff --git a/website/blog/2025-02-22-xdraw-integrating-ai-into-products.md b/website/blog/2025-02-22-xdraw-integrating-ai-into-products.md new file mode 100644 index 0000000..220f29e --- /dev/null +++ b/website/blog/2025-02-22-xdraw-integrating-ai-into-products.md @@ -0,0 +1,80 @@ +--- +slug: xdraw-integrating-ai-into-products +title: X绘图-我们是如何让AI更好的融入我们的产品的 +authors: +- techcamp +tags: +- ai +- engineering +- architecture +date: 2025-02-22 +description: 从XBuilder绘图功能实践,探讨如何让AI真正融入产品,而不是简单引入。 +--- + +**引言:** + +> 笔者作为前端工程师,目前的工作主要是在为开源游戏平台XBuilder编写其精灵创作时的绘图功能。这个功能的基础是一个浏览器端编辑矢量图的功能。在此基础上,我们为其赋予了AI生成游戏素材的能力,让AI交互融入用户创作的过程中。 + +**序:** + +> 我们正处于AI大模型落地的浪潮中。越来越多的应用都喜欢标榜"AI赋能""AI融入"。但是,很多应用和程序并没有很好的将AI"融入"他们的应用,而只是做了"引入",一个按钮,一个接口,一个对话框;一个简单的引入API确实能带来AI对话的能力,但是这和真正的让AI提升工作效率和提升创作的上限是有着很大的差距的。本文将从交互逻辑,AI能力,Prompt构建等方向入手,聚焦于我们的实习团队的尝试,思路和努力,更好的在XBuilder的绘图功能中引入AI生图从而提升用户创作能力。 + + + +## 1. 让AI交互融入交互逻辑 + +作为前端开发者,我认为,时刻保持对用户交互逻辑的清晰认知是最为重要的事情。一切的功能都应该由用户的需求出发。我们不能为了"引入AI"这个目标,盲目的在应用里放一个按钮,放一个API调用的入口。AI的能力很强,但是也很宽泛。我们所做的就是让AI的能力迎合用户的需求,让其真正的解决用户的痛点。 + +XBuilder平台面向的用户主要是对游戏制作有热情的青少年人群。他们往往年轻,有创意,但是缺少美术的能力和技术。所以,绘图平台想要融入AI,就必须抓住他们的重点:用户创作图像的能力较差,构建提示词的能力较弱,但是他们对AI生成结果有一定的要求。 + +所以,我们基于这个用户画像出发,我们的AI功能应该要满足用户的需求。所以,我们主要提供了AI素材库,AI提示词构建,AI图像生成的功能。这些功能涵盖了一个完整的用户交互逻辑链条: + +> 用户有想创作的游戏角色 -> 用户构建提示词 -> 提示词不断完善 -> +> 最终生成用户满意的游戏素材 + +根据这一交互链路,我们构建了我们的AI素材生成体系。 + +## 2. AI模型的选择 + +当前主流的大语言模型(如ChatGPT、Google Gemini等)虽然在通用任务上表现卓越,但在特定场景下的适用性仍需审慎评估。以图像生成为例,我们的需求并非传统的位图(如PNG格式)生成,而是高质量的矢量图(SVG)生成,二者在技术实现与应用逻辑上存在本质区别。 + +尽管通用大模型在位图生成方面能力出众,但在矢量图生成这一专业领域,却没有多少评测可供参考。为此,我们针对 OpenAI GPT-4、Claude、Google Gemini 2.0 Pro 以及专业绘图模型 Recraft v3/v2、SVGIO 等进行了专项测试。结果显示,通用大模型在矢量绘图任务上明显逊于专业模型,而 Recraft 在输出质量与格式支持方面更贴合我们的需求,因此最终选定其作为主要图像生成方案。 + +值得反思的是,当前不少业务在技术选型时盲目追求通用大模型或对话式交互,某种程度上反映出在用户需求洞察与产品设计上的简化思维。优秀的产品应当始终以用户真实需求为核心,每一项功能的引入,都应回归到本质问题:它是否真正解决了用户的痛点? + +## 3. Prompt构建 + +优秀的Prompt是AI生成高质量结果的关键。但对于我们的目标用户群体——青少年游戏爱好者而言,他们往往缺乏专业的提示词构建能力。因此,如何帮助用户快速生成优质提示词,成为我们需要重点解决的问题。 + +我们采用了以下策略: + +### 3.1 提示词模板 + +我们预设了多种常用的游戏素材类型模板(如:角色、道具、场景等),用户只需选择模板并填充关键信息,即可生成较为完整的提示词。 + +### 3.2 提示词优化 + +对于用户输入的简单提示词,我们会通过大语言模型进行智能扩展和优化,补充必要的细节描述,使其更符合图像生成模型的输入要求。 + +### 3.3 参考示例 + +在界面中展示优秀的提示词示例和对应的生成结果,帮助用户理解什么样的提示词能够产生理想的效果。 + +## 4. 持续迭代与优化 + +AI能力的融入不是一蹴而就的,需要持续的迭代和优化: + +- **用户反馈收集**:建立便捷的反馈渠道,了解用户的真实使用感受 +- **生成结果评估**:对AI生成的图像质量进行持续监控和评估 +- **功能优化**:基于数据分析和用户反馈,不断改进产品功能 + +## 总结 + +让AI真正"融入"产品,而非简单"引入",需要: + +1. **深入理解用户需求**:明确用户的痛点和使用场景 +2. **选择合适的AI能力**:根据具体需求选择最适合的模型,而非盲目追求通用大模型 +3. **优化交互体验**:设计符合用户习惯的交互流程 +4. **持续迭代优化**:基于反馈不断完善产品 + +只有真正从用户需求出发,AI才能成为提升产品价值的利器,而不仅仅是一个"AI功能"的标签。 diff --git "a/website/blog/2025-02-22-x\347\273\230\345\233\276-\350\256\251ai\350\236\215\345\205\245\344\272\247\345\223\201.md" "b/website/blog/2025-02-22-x\347\273\230\345\233\276-\350\256\251ai\350\236\215\345\205\245\344\272\247\345\223\201.md" new file mode 100644 index 0000000..d0e9a73 --- /dev/null +++ "b/website/blog/2025-02-22-x\347\273\230\345\233\276-\350\256\251ai\350\236\215\345\205\245\344\272\247\345\223\201.md" @@ -0,0 +1,76 @@ +--- +slug: xhuitu-rang-ai-ronru-chanpin +title: "X绘图-我们是如何让AI更好的融入我们的产品的" +authors: [techcamp] +tags: [ai, engineering, architecture] +date: 2025-02-22 +description: "从XBuilder绘图功能实践,探讨如何让AI真正融入产品,而不是简单引入。" +--- + +**引言:** + +> 笔者作为前端工程师,目前的工作主要是在为开源游戏平台XBuilder编写其精灵创作时的绘图功能。这个功能的基础是一个浏览器端编辑矢量图的功能。在此基础上,我们为其赋予了AI生成游戏素材的能力,让AI交互融入用户创作的过程中。 + +**序:** + +> 我们正处于AI大模型落地的浪潮中。越来越多的应用都喜欢标榜"AI赋能""AI融入"。但是,很多应用和程序并没有很好的将AI"融入"他们的应用,而只是做了"引入",一个按钮,一个接口,一个对话框;一个简单的引入API确实能带来AI对话的能力,但是这和真正的让AI提升工作效率和提升创作的上限是有着很大的差距的。本文将从交互逻辑,AI能力,Prompt构建等方向入手,聚焦于我们的实习团队的尝试,思路和努力,更好的在XBuilder的绘图功能中引入AI生图从而提升用户创作能力。 + + + +## 1. 让AI交互融入交互逻辑 + +作为前端开发者,我认为,时刻保持对用户交互逻辑的清晰认知是最为重要的事情。一切的功能都应该由用户的需求出发。我们不能为了"引入AI"这个目标,盲目的在应用里放一个按钮,放一个API调用的入口。AI的能力很强,但是也很宽泛。我们所做的就是让AI的能力迎合用户的需求,让其真正的解决用户的痛点。 + +XBuilder平台面向的用户主要是对游戏制作有热情的青少年人群。他们往往年轻,有创意,但是缺少美术的能力和技术。所以,绘图平台想要融入AI,就必须抓住他们的重点:用户创作图像的能力较差,构建提示词的能力较弱,但是他们对AI生成结果有一定的要求。 + +所以,我们基于这个用户画像出发,我们的AI功能应该要满足用户的需求。所以,我们主要提供了AI素材库,AI提示词构建,AI图像生成的功能。这些功能涵盖了一个完整的用户交互逻辑链条: + +> 用户有想创作的游戏角色 -> 用户构建提示词 -> 提示词不断完善 -> +> 最终生成用户满意的游戏素材 + +根据这一交互链路,我们构建了我们的AI素材生成体系。 + +## 2. AI模型的选择 + +当前主流的大语言模型(如ChatGPT、Google Gemini等)虽然在通用任务上表现卓越,但在特定场景下的适用性仍需审慎评估。以图像生成为例,我们的需求并非传统的位图(如PNG格式)生成,而是高质量的矢量图(SVG)生成,二者在技术实现与应用逻辑上存在本质区别。 + +尽管通用大模型在位图生成方面能力出众,但在矢量图生成这一专业领域,却没有多少评测可供参考。为此,我们针对 OpenAI GPT-4、Claude、Google Gemini 2.0 Pro 以及专业绘图模型 Recraft v3/v2、SVGIO 等进行了专项测试。结果显示,通用大模型在矢量绘图任务上明显逊于专业模型,而 Recraft 在输出质量与格式支持方面更贴合我们的需求,因此最终选定其作为主要图像生成方案。 + +值得反思的是,当前不少业务在技术选型时盲目追求通用大模型或对话式交互,某种程度上反映出在用户需求洞察与产品设计上的简化思维。优秀的产品应当始终以用户真实需求为核心,每一项功能的引入,都应回归到本质问题:它是否真正解决了用户的痛点? + +## 3. Prompt构建 + +优秀的Prompt是AI生成高质量结果的关键。但对于我们的目标用户群体——青少年游戏爱好者而言,他们往往缺乏专业的提示词构建能力。因此,如何帮助用户快速生成优质提示词,成为我们需要重点解决的问题。 + +我们采用了以下策略: + +### 3.1 提示词模板 + +我们预设了多种常用的游戏素材类型模板(如:角色、道具、场景等),用户只需选择模板并填充关键信息,即可生成较为完整的提示词。 + +### 3.2 提示词优化 + +对于用户输入的简单提示词,我们会通过大语言模型进行智能扩展和优化,补充必要的细节描述,使其更符合图像生成模型的输入要求。 + +### 3.3 参考示例 + +在界面中展示优秀的提示词示例和对应的生成结果,帮助用户理解什么样的提示词能够产生理想的效果。 + +## 4. 持续迭代与优化 + +AI能力的融入不是一蹴而就的,需要持续的迭代和优化: + +- **用户反馈收集**:建立便捷的反馈渠道,了解用户的真实使用感受 +- **生成结果评估**:对AI生成的图像质量进行持续监控和评估 +- **功能优化**:基于数据分析和用户反馈,不断改进产品功能 + +## 总结 + +让AI真正"融入"产品,而非简单"引入",需要: + +1. **深入理解用户需求**:明确用户的痛点和使用场景 +2. **选择合适的AI能力**:根据具体需求选择最适合的模型,而非盲目追求通用大模型 +3. **优化交互体验**:设计符合用户习惯的交互流程 +4. **持续迭代优化**:基于反馈不断完善产品 + +只有真正从用户需求出发,AI才能成为提升产品价值的利器,而不仅仅是一个"AI功能"的标签。 diff --git a/website/blog/2025-02-24-llgo-python-compilation-and-runtime-integration.md b/website/blog/2025-02-24-llgo-python-compilation-and-runtime-integration.md new file mode 100644 index 0000000..0e0d2c8 --- /dev/null +++ b/website/blog/2025-02-24-llgo-python-compilation-and-runtime-integration.md @@ -0,0 +1,185 @@ +--- +slug: llgo-python-compilation-and-runtime-integration +title: LLGo 中 Python 编译与运行时集成 +authors: +- techcamp +tags: +- compiler +- llgo +- python +- engineering +date: 2025-02-24 +description: 深入剖析LLGo如何解决对Python环境的强依赖,实现用户不可见的Python环境构建方案。 +--- + +## 前言 + +LLGo 是一款基于 LLVM 的 Go 编译器,它把 Go 的类型系统和 SSA/IR 构建与 C/C++/Python 生态融合在一起,从"**能否编到一起**"到"**如何舒服地用起来**",中间隔着一整套构建、版本、分发与运行时的工程系统。 + +但目前 LLGo 在 Python 能力中仍存在不足,即对用户 Python 环境的强依赖。为解决这个问题,本文展示了一种用户不可见的 Python 环境构建方案,以"**LLGo 中与 Python 相关的编译流程**"为主线,串联 C/C++ 与 Python 的关键差异与共同点,并结合 `bundle` 能力说明如何把 Python 一起打包,做到"拿来就跑"。 + + + +## 一、LLGo 中与 Python 相关的编译流程解析 + +### 顶层入口:把 Python 能力"接进来" + +入口函数负责建立 SSA/IR 编译容器,并懒加载运行时与 Python 符号包: + +```go +prog.SetPython(func() *types.Package { + return dedup.Check(llssa.PkgPython).Types +}) +``` + +这是 LLGo 中已实现的语言编译容器,此处不做赘述。 + +### 构建包:识别依赖、归一化链接、标记是否需要 Python 初始化 + +统一遍历待构建的包,按"包类别"决定如何处理: +```go +switch kind, param := cl.PkgKindOf(pkg.Types); kind { +case cl.PkgDeclOnly: + pkg.ExportFile = "" +case cl.PkgLinkIR, cl.PkgLinkExtern, cl.PkgPyModule: + // ... 见下文 +default: + // 常规包 +``` + +与 Python 直接相关的两类: + - 外链库(link: ...):当参数内出现 `$(pkg-config --libs python3-embed)`,**先准备一套可用的 Python 工具链**,再展开成 `-lpythonX -L...` 等链接参数。 + - Python 模块（`py.模块名`）：若缺失,则我们希望在"独立 Python 环境"内用 pip 安装,从而避免污染系统,实现对用户环境的最小入侵。 + +因此在进行 `pkg-config` 展开之前,我们需要进行 Python环境的构建。 + +关键实现(展开 pkg-config 前的"Python 预构建"四步): +```go +//确保缓存目录存在;若目录为空则下载并解压指定(或默认)Python发行包到缓存目录。 +func EnsureWithFetch(url string) error { + if url == "" { + url = defaultPythonURL() + } +} + +//设置构建所需环境(PATH、PYTHONHOME、PKG_CONFIG_PATH 等),为后续 pkg-config/链接做准备。会在该编译程序的运行时指定python环境 +func EnsureBuildEnv() error { +``` + +## 二、Python 环境的构建与管理 + +### 独立环境的必要性 + +为什么需要独立的 Python 环境? + +1. **避免系统污染**:不修改用户的系统 Python 环境 +2. **版本一致性**:确保所有依赖使用相同的 Python 版本 +3. **便携性**:可以将整个 Python 环境打包分发 +4. **依赖隔离**:不同项目的 Python 依赖互不干扰 + +### 环境构建流程 + +1. **检查缓存**:首先检查本地缓存目录是否已有 Python 环境 +2. **下载发行包**:如无缓存,从指定 URL 下载 Python 独立发行包 +3. **解压配置**:将发行包解压到缓存目录并配置环境变量 +4. **安装依赖**:使用 pip 在独立环境中安装所需的 Python 模块 + +### 环境变量设置 + +为了让编译器和运行时都能正确找到 Python 环境,需要设置以下环境变量: + +- `PYTHONHOME`:Python 安装目录 +- `PATH`:包含 Python 可执行文件的路径 +- `PKG_CONFIG_PATH`:包含 python3-embed.pc 的路径 +- `LD_LIBRARY_PATH`:Python 动态库路径 + +## 三、编译时集成 + +### pkg-config 展开 + +当遇到 `$(pkg-config --libs python3-embed)` 时: + +1. 确保 Python 环境已构建 +2. 调用 pkg-config 获取链接参数 +3. 将结果展开为具体的 `-l` 和 `-L` 参数 + +### Python 模块处理 + +对于 `py.\py.lt;module\py.gt;` 形式的导入: + +1. 检查模块是否已安装 +2. 如未安装,使用 pip 在独立环境中安装 +3. 记录模块依赖,用于后续打包 + +## 四、运行时集成 + +### 初始化时机 + +LLGo 需要在程序启动时初始化 Python 解释器: + +```go +func init() { + if needsPython { + python.Initialize() + } +} +``` + +### 资源定位 + +运行时需要能够找到: +- Python 标准库 +- 已安装的第三方模块 +- Python 动态链接库 + +这通过设置正确的 PYTHONHOME 和 PYTHONPATH 实现。 + +## 五、Bundle 能力:一键打包分发 + +### 打包策略 + +使用 `bundle` 命令可以将程序和 Python 环境一起打包: + +1. **识别依赖**:扫描程序使用的所有 Python 模块 +2. **收集文件**:将 Python 运行时和依赖模块收集到打包目录 +3. **生成启动脚本**:创建设置环境变量的启动脚本 +4. **打包压缩**:将所有文件打包为单一可分发的归档 + +### 使用效果 + +用户获得打包后的程序: +```bash +$ ./myapp +# 自动设置 Python 环境并运行,无需任何额外配置 +``` + +## 六、工程实践与优化 + +### 缓存策略 + +- **环境缓存**:已下载的 Python 环境缓存到 ~/.llgo/python +- **模块缓存**:已安装的模块可跨项目复用 +- **增量更新**:只下载缺失的组件 + +### 性能优化 + +- **懒加载**:只在需要时才初始化 Python +- **并行下载**:可以并行下载多个依赖 +- **压缩传输**:使用压缩格式减少下载大小 + +### 错误处理 + +- **网络失败重试**:下载失败自动重试 +- **版本冲突检测**:检测并提示版本不兼容问题 +- **清理机制**:提供命令清理缓存和临时文件 + +## 总结 + +LLGo 通过构建独立的 Python 环境,实现了: + +1. **零配置**:用户无需预装 Python +2. **零污染**:不影响系统 Python 环境 +3. **零感知**:自动处理所有 Python 相关的编译和运行时细节 +4. **易分发**:可以将 Python 环境一起打包分发 + +这套方案不仅解决了 LLGo 与 Python 集成的工程问题,也为其他需要集成多语言生态的项目提供了参考思路。关键在于:将复杂性封装在工具链内部,为用户提供简洁的使用体验。 diff --git "a/website/blog/2025-02-24-llgo-python-\347\274\226\350\257\221\344\270\216\350\277\220\350\241\214\346\227\266\351\233\206\346\210\220.md" "b/website/blog/2025-02-24-llgo-python-\347\274\226\350\257\221\344\270\216\350\277\220\350\241\214\346\227\266\351\233\206\346\210\220.md" new file mode 100644 index 0000000..8a10cb4 --- /dev/null +++ "b/website/blog/2025-02-24-llgo-python-\347\274\226\350\257\221\344\270\216\350\277\220\350\241\214\346\227\266\351\233\206\346\210\220.md" @@ -0,0 +1,180 @@ +--- +slug: llgo-python-bianyiyuyunxingshijiaru +title: "LLGo 中 Python 编译与运行时集成" +authors: [techcamp] +tags: [compiler, llgo, python, engineering] +date: 2025-02-24 +description: "深入剖析LLGo如何解决对Python环境的强依赖,实现用户不可见的Python环境构建方案。" +--- + +## 前言 + +LLGo 是一款基于 LLVM 的 Go 编译器,它把 Go 的类型系统和 SSA/IR 构建与 C/C++/Python 生态融合在一起,从"**能否编到一起**"到"**如何舒服地用起来**",中间隔着一整套构建、版本、分发与运行时的工程系统。 + +但目前 LLGo 在 Python 能力中仍存在不足,即对用户 Python 环境的强依赖。为解决这个问题,本文展示了一种用户不可见的 Python 环境构建方案,以"**LLGo 中与 Python 相关的编译流程**"为主线,串联 C/C++ 与 Python 的关键差异与共同点,并结合 `bundle` 能力说明如何把 Python 一起打包,做到"拿来就跑"。 + + + +## 一、LLGo 中与 Python 相关的编译流程解析 + +### 顶层入口:把 Python 能力"接进来" + +入口函数负责建立 SSA/IR 编译容器,并懒加载运行时与 Python 符号包: + +```go +prog.SetPython(func() *types.Package { + return dedup.Check(llssa.PkgPython).Types +}) +``` + +这是 LLGo 中已实现的语言编译容器,此处不做赘述。 + +### 构建包:识别依赖、归一化链接、标记是否需要 Python 初始化 + +统一遍历待构建的包,按"包类别"决定如何处理: +```go +switch kind, param := cl.PkgKindOf(pkg.Types); kind { +case cl.PkgDeclOnly: + pkg.ExportFile = "" +case cl.PkgLinkIR, cl.PkgLinkExtern, cl.PkgPyModule: + // ... 见下文 +default: + // 常规包 +``` + +与 Python 直接相关的两类: + - 外链库(link: ...):当参数内出现 `$(pkg-config --libs python3-embed)`,**先准备一套可用的 Python 工具链**,再展开成 `-lpythonX -L...` 等链接参数。 + - Python 模块（`py.模块名`）：若缺失,则我们希望在"独立 Python 环境"内用 pip 安装,从而避免污染系统,实现对用户环境的最小入侵。 + +因此在进行 `pkg-config` 展开之前,我们需要进行 Python环境的构建。 + +关键实现(展开 pkg-config 前的"Python 预构建"四步): +```go +//确保缓存目录存在;若目录为空则下载并解压指定(或默认)Python发行包到缓存目录。 +func EnsureWithFetch(url string) error { + if url == "" { + url = defaultPythonURL() + } +} + +//设置构建所需环境(PATH、PYTHONHOME、PKG_CONFIG_PATH 等),为后续 pkg-config/链接做准备。会在该编译程序的运行时指定python环境 +func EnsureBuildEnv() error { +``` + +## 二、Python 环境的构建与管理 + +### 独立环境的必要性 + +为什么需要独立的 Python 环境? + +1. **避免系统污染**:不修改用户的系统 Python 环境 +2. **版本一致性**:确保所有依赖使用相同的 Python 版本 +3. **便携性**:可以将整个 Python 环境打包分发 +4. **依赖隔离**:不同项目的 Python 依赖互不干扰 + +### 环境构建流程 + +1. **检查缓存**:首先检查本地缓存目录是否已有 Python 环境 +2. **下载发行包**:如无缓存,从指定 URL 下载 Python 独立发行包 +3. **解压配置**:将发行包解压到缓存目录并配置环境变量 +4. **安装依赖**:使用 pip 在独立环境中安装所需的 Python 模块 + +### 环境变量设置 + +为了让编译器和运行时都能正确找到 Python 环境,需要设置以下环境变量: + +- `PYTHONHOME`:Python 安装目录 +- `PATH`:包含 Python 可执行文件的路径 +- `PKG_CONFIG_PATH`:包含 python3-embed.pc 的路径 +- `LD_LIBRARY_PATH`:Python 动态库路径 + +## 三、编译时集成 + +### pkg-config 展开 + +当遇到 `$(pkg-config --libs python3-embed)` 时: + +1. 确保 Python 环境已构建 +2. 调用 pkg-config 获取链接参数 +3. 将结果展开为具体的 `-l` 和 `-L` 参数 + +### Python 模块处理 + +对于 `py.\py.lt;module\py.gt;` 形式的导入: + +1. 检查模块是否已安装 +2. 如未安装,使用 pip 在独立环境中安装 +3. 记录模块依赖,用于后续打包 + +## 四、运行时集成 + +### 初始化时机 + +LLGo 需要在程序启动时初始化 Python 解释器: + +```go +func init() { + if needsPython { + python.Initialize() + } +} +``` + +### 资源定位 + +运行时需要能够找到: +- Python 标准库 +- 已安装的第三方模块 +- Python 动态链接库 + +这通过设置正确的 PYTHONHOME 和 PYTHONPATH 实现。 + +## 五、Bundle 能力:一键打包分发 + +### 打包策略 + +使用 `bundle` 命令可以将程序和 Python 环境一起打包: + +1. **识别依赖**:扫描程序使用的所有 Python 模块 +2. **收集文件**:将 Python 运行时和依赖模块收集到打包目录 +3. **生成启动脚本**:创建设置环境变量的启动脚本 +4. **打包压缩**:将所有文件打包为单一可分发的归档 + +### 使用效果 + +用户获得打包后的程序: +```bash +$ ./myapp +# 自动设置 Python 环境并运行,无需任何额外配置 +``` + +## 六、工程实践与优化 + +### 缓存策略 + +- **环境缓存**:已下载的 Python 环境缓存到 ~/.llgo/python +- **模块缓存**:已安装的模块可跨项目复用 +- **增量更新**:只下载缺失的组件 + +### 性能优化 + +- **懒加载**:只在需要时才初始化 Python +- **并行下载**:可以并行下载多个依赖 +- **压缩传输**:使用压缩格式减少下载大小 + +### 错误处理 + +- **网络失败重试**:下载失败自动重试 +- **版本冲突检测**:检测并提示版本不兼容问题 +- **清理机制**:提供命令清理缓存和临时文件 + +## 总结 + +LLGo 通过构建独立的 Python 环境,实现了: + +1. **零配置**:用户无需预装 Python +2. **零污染**:不影响系统 Python 环境 +3. **零感知**:自动处理所有 Python 相关的编译和运行时细节 +4. **易分发**:可以将 Python 环境一起打包分发 + +这套方案不仅解决了 LLGo 与 Python 集成的工程问题,也为其他需要集成多语言生态的项目提供了参考思路。关键在于:将复杂性封装在工具链内部,为用户提供简洁的使用体验。 diff --git "a/2025/99.\345\256\236\350\256\255\350\220\245\345\210\206\344\272\253\357\274\232LLGo \344\270\255 Python \347\274\226\350\257\221\344\270\216\350\277\220\350\241\214\346\227\266\351\233\206\346\210\220/content.md" b/website/blog/2025-02-28-llgo-python-compilation-and-runtime-integration.md similarity index 90% rename from "2025/99.\345\256\236\350\256\255\350\220\245\345\210\206\344\272\253\357\274\232LLGo \344\270\255 Python \347\274\226\350\257\221\344\270\216\350\277\220\350\241\214\346\227\266\351\233\206\346\210\220/content.md" rename to website/blog/2025-02-28-llgo-python-compilation-and-runtime-integration.md index b307be6..fa90ad1 100644 --- "a/2025/99.\345\256\236\350\256\255\350\220\245\345\210\206\344\272\253\357\274\232LLGo \344\270\255 Python \347\274\226\350\257\221\344\270\216\350\277\220\350\241\214\346\227\266\351\233\206\346\210\220/content.md" +++ b/website/blog/2025-02-28-llgo-python-compilation-and-runtime-integration.md @@ -1,191 +1,198 @@ -# LLGo 中 Python 编译与运行时集成：从依赖识别到一键交付 - -## 前言 - -LLGo 是一款基于 LLVM 的 Go 编译器，它把 Go 的类型系统和 SSA/IR 构建与 C/C++/Python 生态融合在一起，从“能否编到一起”到“如何舒服地用起来”，中间隔着一整套构建、版本、分发与运行时的工程系统。但目前 LLGo 在 Python 能力中仍存在不足，即对用户 Python 环境的强依赖。为解决这个问题，本文展示了一种用户不可见的 Python 环境构建方案，以“LLGo 中与 Python 相关的编译流程”为主线，串联 C/C++ 与 Python 的关键差异与共同点，并结合 `bundle` 能力说明如何把 Python 一起打包，做到“拿来就跑”。 - -## LLGo 中与 Python 相关的编译流程解析 - -### 顶层入口：把 Python 能力“接进来” - -- 入口函数负责建立 SSA/IR 编译容器，并懒加载运行时与 Python 符号包： -```go - prog.SetPython(func() *types.Package { - return dedup.Check(llssa.PkgPython).Types - }) -``` -这是 LLGo 中已实现的语言编译容器，此处不做赘述。 - -### 构建包：识别依赖、归一化链接、标记是否需要 Python 初始化 - -- 统一遍历待构建的包，按“包类别”决定如何处理： -```go - switch kind, param := cl.PkgKindOf(pkg.Types); kind { - case cl.PkgDeclOnly: - pkg.ExportFile = "" - case cl.PkgLinkIR, cl.PkgLinkExtern, cl.PkgPyModule: - // ... 见下文 - default: - // 常规包 -``` -- 与 Python 直接相关的两类： - - 外链库（link: ...）：当参数内出现 `$(pkg-config --libs python3-embed)`，**先准备一套可用的 Python 工具链**，再展开成 `-lpythonX -L...` 等链接参数。 - - Python 模块（py.）：若缺失，则我们希望在“独立 Python 环境”内用 pip 安装，从而避免污染系统，实现对用户环境的最小入侵。 - -因此在进行 `pkg-config` 展开之前，我们需要进行 Python环境的构建。 - -关键实现（展开 pkg-config 前的“Python 预构建”四步）： -```go -//确保缓存目录存在；若目录为空则下载并解压指定（或默认）Python发行包到缓存目录。 -func EnsureWithFetch(url string) error { - if url == "" { - url = defaultPythonURL() - } -} - -//设置构建所需环境（PATH、PYTHONHOME、PKG_CONFIG_PATH 等），为后续 pkg-config/链接做准备。会在该编译程序的运行时指定python环境 -func EnsureBuildEnv() error { - pyHome := PythonHome() - return applyEnv(pyHome) -} - -//快速校验当前可用的 Python 解释器是否可运行。 -func Verify() error { - cmd := exec.Command(exe, "-c", "import sys; print('OK')") - return cmd.Run() -} - -//(macOS) 把 libpython 的 install_name 改为 @rpath/…，确保链接与运行时能按 rpath 正确定位库。 -func FixLibpythonInstallName(pyHome string) error { - if runtime.GOOS != "darwin" { - return nil - } -} -``` -- **为何需要下载到缓存？** - - 为了不对用户的环境做任何侵入性的改变，我们希望编译时所需的运行时应不与用户环境有关，且对用户不可见，故使用 stand alone 的形式将环境构建在用户的 cache中。 - -- **为何需要设置rpath？** - - 为保证可用的 Python 构建链，我们选用了 `Python-build-standalone` 作为独立环境供 LLGo 使用，从而不对用户环境做任何修改。 - - 在编译时，`EnsureBuildEnv()`保证了程序可以找到我们加载的该 Python 位置，从而展开该 Python 的 `$(pkg-config --libs python3-embed)`。 但 `Python-build-standalone` 在其 `python3-embed`中嵌入的路径为 `/install/...` 前缀，这与 `Python-build-standalone` 的构建有关，与 LLGo 无关。那么编译出的二进制根据该路径去寻找 libpython 时，会找不到库而报错。故我们需要将该内容修改为 `@rpath/...` 以让程序可以找到正确的 libpython 位置。 - - 但在此处，并未设置 Rpath 的实际内容，仍为系统默认值，实际设置发生在链接期 - -- 接上文，若检测 `PkgPyModule // Python 模块（LLGoPackage="py."）` ， 则使用 pip 下载对应第三方库 - -```go -func PipInstall(spec string) error { - ... - return InstallPackages(spec) -} -``` - -- 为何 C/C++ 不需要（额外的）构建环境准备 - - - 这里的分支只做“链接参数解析/归一化”，不负责编译源码；C/C++ 源码的编译早在 cgo 与 LLGoFiles 流程中完成为 .o。 - - - 普通 C/C++ 外部库通常依赖系统/现成目录与已安装的 .a/.so/.dylib，链接器只需 -L/-l 即可，不需要像 Python 那样额外下载解释器、设置 PYTHONHOME、修正 install_name 等。 - - -### 链接阶段：注入“初始化解释器”，并确保运行时能找到库 - -- 汇总所有对象文件与链接参数的同时，聚合“是否需要 Python 初始化”标记（使用到 Python C-API 的包会置 true）： -```go - if p.ExportFile != "" && aPkg != nil { - // ... - need1, need2 := isNeedRuntimeOrPyInit(ctx, p) - if !needRuntime { needRuntime = need1 } - if !needPyInit { needPyInit = need2 } - } -``` -- 生成主入口初始化函数，并在 IR 中嵌入：按需声明并调用 Python 初始化符号（入口早期执行），然后导出为一个 .o 参与最终链接： -```go - if needPyInit { - pyEnvInit = "call void @__llgo_py_init_from_exedir()" - pyEnvInitDecl = "declare void @__llgo_py_init_from_exedir()" - } -``` -- 生成“Python 初始化.o”（C 源即时编译）：它会从可执行文件相对位置推导 PYTHONHOME，并完成解释器初始化，入口 IR `__llgo_py_init_from_exedir` 会调用这个 `.o` 文件。 -```go - out := tmp.Name() + ".o" - args := []string{ - "-x", "c", - "-o", out, "-c", tmp.Name(), - } - // 注入 Python 头文件 - inc := filepath.Join(pyenv.PythonHome(), "include", "python3.12") - args = append(args, "-I"+inc) - cmd := ctx.compiler() - if err := cmd.Compile(args...); err != nil { return "", err } -``` -- 注入 rpath：在得到完整 linkArgs 之后再去重追加，既考虑独立 Python 的 lib 路径，也考虑常用的 `@executable_path` 前缀（macOS）： -```go - for _, dir := range pyenv.FindPythonRpaths(pyenv.PythonHome()) { - addRpath(&linkArgs, dir) - } - addRpath(&linkArgs, "@executable_path/python/lib") - addRpath(&linkArgs, "@executable_path/lib/python/lib") -``` -- 最终链接（统一交给 clang/交叉链接器），把根据链接参数，将以上对象构建为可执行文件： -```go - buildArgs := []string{"-o", app} - buildArgs = append(buildArgs, linkArgs...) - // 可选：调试符号/交叉编译 LDFLAGS/EXTRAFLAGS - buildArgs = append(buildArgs, ctx.crossCompile.LDFLAGS...) - buildArgs = append(buildArgs, ctx.crossCompile.EXTRAFLAGS...) - buildArgs = append(buildArgs, objFiles...) - return cmd.Link(buildArgs...) -``` - -## 可选打包（Bundle）：让用户“开箱即用” -想让用户机器“无需安装/配置 Python”，可以把 Python 打进发布物里： - -- 命令：llgo bundle -- 关键参数： - - -mode dir|exe - - -out 输出路径（仅 exe 模式用） - - -archive zip|tar 与 -archiveOut（dir 产物可选打包归档） - -```go -// llgo bundle -var Cmd = &base.Command{ - UsageLine: "llgo bundle [-mode dir|exe] [-out output] [-archive zip|tar] [-archiveOut file] [packages]", - Short: "Package executable with embedded Python runtime", -} -... -Cmd.Flag.StringVar(&mode, "mode", "dir", "bundle mode: dir|exe") -Cmd.Flag.StringVar(&out, "out", "", "output file for onefile (default: )") -Cmd.Flag.StringVar(&archive, "archive", "", "archive dist for onedir: zip|rar|tar (default: none)") -Cmd.Flag.StringVar(&archiveOut, "archiveOut", "", "archive output path (default: .)") -``` - -- llgo bundle 的对外用法：llgo bundle [-mode dir|exe] [-out] [-archive ...] [-archiveOut] -- dir：在 dist 目录内生成 lib/python/lib 与 lib/python/lib/python3.12 等完整运行时布局；macOS 添加 rpath；可选再归档。 -- exe：生成单一可执行；运行时解压内嵌的 Python 布局到缓存，设置 PYTHONHOME，转而执行内嵌的 app。 - -## C/C++ 与 Python：相同框架，不同要点 -- 相同： - - 统一走“构建包 → 导出 .o → 收集 LinkArgs → 链接”的编译框架； - - 外部库都走 `link: ...` 归一化为 `-L/-l/...`。 -- 不同： - - 运行期需求：C/C++ 无需“启动运行时”；Python 必须初始化解释器（设置 PYTHONHOME + 初始化调用）。 - - 环境准备：C/C++ 通常只要系统已有库即可；Python 需预置独立环境、修改 install_name（macOS）、并在链接期注入 rpath。 - - 额外对象：Python 会生成“初始化桥接 .o”；C/C++ 无需此步。 - -## 总结 - -- 识别与分类：通过 link: ... 与 py. 判定 Python 依赖，触发专属流程；C/C++ 仅归一化为 -L/-l 无需额外运行时。 - -- 预构建环境：在展开 $(pkg-config --libs python3-embed) 前完成 EnsureWithFetch、EnsureBuildEnv、Verify、FixLibpythonInstallName，保证可解析、可链接、可运行且不侵入系统。 - -- 链接注入：主入口注入 __llgo_py_init_from_exedir 调用并生成桥接 .o，统一追加 rpath（含独立 Python 与 @executable_path/...），再交由链接器合成可执行文件。 - -- 可选打包：BundleOnedir（目录式）与 BuildOnefileBinary（单文件）让应用“拿来就跑”，无需用户安装/配置 Python。 - -- 本质差异：C/C++ 无需“启动运行时”；Python 需在启动早期设置 PYTHONHOME 并初始化解释器。 - -- 结果与价值：实现“可编译、可链接、可运行、可分发、可复现”，以最小侵入把 Python 能力工程化纳入 Go 应用交付链路。 - +--- +slug: llgo-python-compilation-runtime-integration-dependency-to-delivery +title: "LLGo 中 Python 编译与运行时集成：从依赖识别到一键交付" +authors: [techcamp] +tags: [architecture, compiler, engineering, go, llgo, python] +date: 2025-02-28 +description: "LLGo 是一款基于 LLVM 的 Go 编译器，它把 Go 的类型系统和 SSA/IR 构建与 C/C++/Python 生态融合在一起，从“能否编到一起”到“如何舒服地用起来”，中间隔着一整套构建、版本、分发与运行时的工程系统。但目前 LLGo 在 Python 能力中仍存在不足，即对用户 Py..." +--- + +## 前言 + +LLGo 是一款基于 LLVM 的 Go 编译器，它把 Go 的类型系统和 SSA/IR 构建与 C/C++/Python 生态融合在一起，从“能否编到一起”到“如何舒服地用起来”，中间隔着一整套构建、版本、分发与运行时的工程系统。但目前 LLGo 在 Python 能力中仍存在不足，即对用户 Python 环境的强依赖。为解决这个问题，本文展示了一种用户不可见的 Python 环境构建方案，以“LLGo 中与 Python 相关的编译流程”为主线，串联 C/C++ 与 Python 的关键差异与共同点，并结合 `bundle` 能力说明如何把 Python 一起打包，做到“拿来就跑”。 + +## LLGo 中与 Python 相关的编译流程解析 + +### 顶层入口：把 Python 能力“接进来” + +- 入口函数负责建立 SSA/IR 编译容器，并懒加载运行时与 Python 符号包： +```go + prog.SetPython(func() *types.Package { + return dedup.Check(llssa.PkgPython).Types + }) +``` +这是 LLGo 中已实现的语言编译容器，此处不做赘述。 + +### 构建包：识别依赖、归一化链接、标记是否需要 Python 初始化 + +- 统一遍历待构建的包，按“包类别”决定如何处理： +```go + switch kind, param := cl.PkgKindOf(pkg.Types); kind { + case cl.PkgDeclOnly: + pkg.ExportFile = "" + case cl.PkgLinkIR, cl.PkgLinkExtern, cl.PkgPyModule: + // ... 见下文 + default: + // 常规包 +``` +- 与 Python 直接相关的两类： + - 外链库（link: ...）：当参数内出现 `$(pkg-config --libs python3-embed)`，**先准备一套可用的 Python 工具链**，再展开成 `-lpythonX -L...` 等链接参数。 + - Python 模块（py.\）：若缺失，则我们希望在“独立 Python 环境”内用 pip 安装，从而避免污染系统，实现对用户环境的最小入侵。 + +因此在进行 `pkg-config` 展开之前，我们需要进行 Python环境的构建。 + +关键实现（展开 pkg-config 前的“Python 预构建”四步）： +```go +//确保缓存目录存在；若目录为空则下载并解压指定（或默认）Python发行包到缓存目录。 +func EnsureWithFetch(url string) error { + if url == "" { + url = defaultPythonURL() + } +} + +//设置构建所需环境（PATH、PYTHONHOME、PKG_CONFIG_PATH 等），为后续 pkg-config/链接做准备。会在该编译程序的运行时指定python环境 +func EnsureBuildEnv() error { + pyHome := PythonHome() + return applyEnv(pyHome) +} + +//快速校验当前可用的 Python 解释器是否可运行。 +func Verify() error { + cmd := exec.Command(exe, "-c", "import sys; print('OK')") + return cmd.Run() +} + +//(macOS) 把 libpython 的 install_name 改为 @rpath/…，确保链接与运行时能按 rpath 正确定位库。 +func FixLibpythonInstallName(pyHome string) error { + if runtime.GOOS != "darwin" { + return nil + } +} +``` +- **为何需要下载到缓存？** + + 为了不对用户的环境做任何侵入性的改变，我们希望编译时所需的运行时应不与用户环境有关，且对用户不可见，故使用 stand alone 的形式将环境构建在用户的 cache中。 + +- **为何需要设置rpath？** + + 为保证可用的 Python 构建链，我们选用了 `Python-build-standalone` 作为独立环境供 LLGo 使用，从而不对用户环境做任何修改。 + + 在编译时，`EnsureBuildEnv()`保证了程序可以找到我们加载的该 Python 位置，从而展开该 Python 的 `$(pkg-config --libs python3-embed)`。 但 `Python-build-standalone` 在其 `python3-embed`中嵌入的路径为 `/install/...` 前缀，这与 `Python-build-standalone` 的构建有关，与 LLGo 无关。那么编译出的二进制根据该路径去寻找 libpython 时，会找不到库而报错。故我们需要将该内容修改为 `@rpath/...` 以让程序可以找到正确的 libpython 位置。 + + 但在此处，并未设置 Rpath 的实际内容，仍为系统默认值，实际设置发生在链接期 + +- 接上文，若检测 `PkgPyModule // Python 模块（LLGoPackage="py.\"）` ， 则使用 pip 下载对应第三方库 + +```go +func PipInstall(spec string) error { + ... + return InstallPackages(spec) +} +``` + +- 为何 C/C++ 不需要（额外的）构建环境准备 + + - 这里的分支只做“链接参数解析/归一化”，不负责编译源码；C/C++ 源码的编译早在 cgo 与 LLGoFiles 流程中完成为 .o。 + + - 普通 C/C++ 外部库通常依赖系统/现成目录与已安装的 .a/.so/.dylib，链接器只需 -L/-l 即可，不需要像 Python 那样额外下载解释器、设置 PYTHONHOME、修正 install_name 等。 + + +### 链接阶段：注入“初始化解释器”，并确保运行时能找到库 + +- 汇总所有对象文件与链接参数的同时，聚合“是否需要 Python 初始化”标记（使用到 Python C-API 的包会置 true）： +```go + if p.ExportFile != "" && aPkg != nil { + // ... + need1, need2 := isNeedRuntimeOrPyInit(ctx, p) + if !needRuntime { needRuntime = need1 } + if !needPyInit { needPyInit = need2 } + } +``` +- 生成主入口初始化函数，并在 IR 中嵌入：按需声明并调用 Python 初始化符号（入口早期执行），然后导出为一个 .o 参与最终链接： +```go + if needPyInit { + pyEnvInit = "call void @__llgo_py_init_from_exedir()" + pyEnvInitDecl = "declare void @__llgo_py_init_from_exedir()" + } +``` +- 生成“Python 初始化.o”（C 源即时编译）：它会从可执行文件相对位置推导 PYTHONHOME，并完成解释器初始化，入口 IR `__llgo_py_init_from_exedir` 会调用这个 `.o` 文件。 +```go + out := tmp.Name() + ".o" + args := []string{ + "-x", "c", + "-o", out, "-c", tmp.Name(), + } + // 注入 Python 头文件 + inc := filepath.Join(pyenv.PythonHome(), "include", "python3.12") + args = append(args, "-I"+inc) + cmd := ctx.compiler() + if err := cmd.Compile(args...); err != nil { return "", err } +``` +- 注入 rpath：在得到完整 linkArgs 之后再去重追加，既考虑独立 Python 的 lib 路径，也考虑常用的 `@executable_path` 前缀（macOS）： +```go + for _, dir := range pyenv.FindPythonRpaths(pyenv.PythonHome()) { + addRpath(&linkArgs, dir) + } + addRpath(&linkArgs, "@executable_path/python/lib") + addRpath(&linkArgs, "@executable_path/lib/python/lib") +``` +- 最终链接（统一交给 clang/交叉链接器），把根据链接参数，将以上对象构建为可执行文件： +```go + buildArgs := []string{"-o", app} + buildArgs = append(buildArgs, linkArgs...) + // 可选：调试符号/交叉编译 LDFLAGS/EXTRAFLAGS + buildArgs = append(buildArgs, ctx.crossCompile.LDFLAGS...) + buildArgs = append(buildArgs, ctx.crossCompile.EXTRAFLAGS...) + buildArgs = append(buildArgs, objFiles...) + return cmd.Link(buildArgs...) +``` + +## 可选打包（Bundle）：让用户“开箱即用” +想让用户机器“无需安装/配置 Python”，可以把 Python 打进发布物里： + +- 命令：llgo bundle +- 关键参数： + - -mode dir|exe + - -out 输出路径（仅 exe 模式用） + - -archive zip|tar 与 -archiveOut（dir 产物可选打包归档） + +```go +// llgo bundle +var Cmd = &base.Command{ + UsageLine: "llgo bundle [-mode dir|exe] [-out output] [-archive zip|tar] [-archiveOut file] [packages]", + Short: "Package executable with embedded Python runtime", +} +... +Cmd.Flag.StringVar(&mode, "mode", "dir", "bundle mode: dir|exe") +Cmd.Flag.StringVar(&out, "out", "", "output file for onefile (default: )") +Cmd.Flag.StringVar(&archive, "archive", "", "archive dist for onedir: zip|rar|tar (default: none)") +Cmd.Flag.StringVar(&archiveOut, "archiveOut", "", "archive output path (default: .)") +``` + +- llgo bundle 的对外用法：llgo bundle [-mode dir|exe] [-out] [-archive ...] [-archiveOut] +- dir：在 dist 目录内生成 lib/python/lib 与 lib/python/lib/python3.12 等完整运行时布局；macOS 添加 rpath；可选再归档。 +- exe：生成单一可执行；运行时解压内嵌的 Python 布局到缓存，设置 PYTHONHOME，转而执行内嵌的 app。 + +## C/C++ 与 Python：相同框架，不同要点 +- 相同： + - 统一走“构建包 → 导出 .o → 收集 LinkArgs → 链接”的编译框架； + - 外部库都走 `link: ...` 归一化为 `-L/-l/...`。 +- 不同： + - 运行期需求：C/C++ 无需“启动运行时”；Python 必须初始化解释器（设置 PYTHONHOME + 初始化调用）。 + - 环境准备：C/C++ 通常只要系统已有库即可；Python 需预置独立环境、修改 install_name（macOS）、并在链接期注入 rpath。 + - 额外对象：Python 会生成“初始化桥接 .o”；C/C++ 无需此步。 + +## 总结 + +- 识别与分类：通过 link: ... 与 py.\ 判定 Python 依赖，触发专属流程；C/C++ 仅归一化为 -L/-l 无需额外运行时。 + +- 预构建环境：在展开 $(pkg-config --libs python3-embed) 前完成 EnsureWithFetch、EnsureBuildEnv、Verify、FixLibpythonInstallName，保证可解析、可链接、可运行且不侵入系统。 + +- 链接注入：主入口注入 __llgo_py_init_from_exedir 调用并生成桥接 .o，统一追加 rpath（含独立 Python 与 @executable_path/...），再交由链接器合成可执行文件。 + +- 可选打包：BundleOnedir（目录式）与 BuildOnefileBinary（单文件）让应用“拿来就跑”，无需用户安装/配置 Python。 + +- 本质差异：C/C++ 无需“启动运行时”；Python 需在启动早期设置 PYTHONHOME 并初始化解释器。 + +- 结果与价值：实现“可编译、可链接、可运行、可分发、可复现”，以最小侵入把 Python 能力工程化纳入 Go 应用交付链路。 + diff --git a/website/blog/2025-03-02-ai-era.md b/website/blog/2025-03-02-ai-era.md new file mode 100644 index 0000000..ee0a7f5 --- /dev/null +++ b/website/blog/2025-03-02-ai-era.md @@ -0,0 +1,103 @@ +--- +slug: ai-era +title: "许式伟：AI 时代重塑软件工程" +authors: [techcamp] +tags: [ai, architecture, best-practices, compiler, engineering, go, xgo] +date: 2025-03-02 +description: "在第四期1024实训营结营仪式上，实训营发起人许式伟先生以《AI 时代重塑软件工程》为题，为全体学员和在线观众带来了一场深度分享。他从软件工程的基础理论出发，深入剖析了AI技术对软件工程领域的深刻影响与重塑。以下是演讲全文：" +--- + +在第四期1024实训营结营仪式上，实训营发起人许式伟先生以《AI 时代重塑软件工程》为题，为全体学员和在线观众带来了一场深度分享。他从软件工程的基础理论出发，深入剖析了AI技术对软件工程领域的深刻影响与重塑。以下是演讲全文： + +# 正文： + +本期实训营的分享，与前三期有着显著的不同。在前三期中，实习生几乎无人使用 AI 编程；而这一期，每个团队都已大规模采用 AI coding。这一变化并非偶然，而是时代演进的必然结果。 + +1024实训营，本质上是在探索软件工程的最佳实践。然而，当参与实践的学员——这些尚未成型的工程师——其开发方式已在短短一两年间发生根本性转变时，我们就无法再回避一个关键问题：**在 AI 深度介入编程的今天，软件工程本身是否正在被重新定义？** + +过去，我们谈“如何成为优秀的工程师”；今天，我们不得不谈“如何在 AI 时代做好软件工程”。我反复思考这个问题后得出一个结论：AI 正在彻底重塑软件工程的底层逻辑。许多我们曾视为理所当然的工程原则，在 AI 时代可能不再成立。 + +正因如此，本期结营我选择了一个截然不同的主题。这不是一次技术工具的更新讨论，而是一场对工程范式的重新审视——我们必须以更严肃的态度，直面这场正在发生的范式革命。 + +## 软件工程铁三角：工程、设计与商业 + +在深入探讨AI的影响之前，我们有必要回归软件工程的基本理论框架。我认为软件工程的范畴始终围绕着三个核心层面：工程、设计与商业。 + +**工程**是一门关于“如何把事做成”的学问。它的核心方法论包含三个要素：模块（拆解复杂问题）、版本（迭代逼近目标）和分工（团队协同）。这是大多数技术人员最为熟悉的部分。 + +**设计**远不止于产品包装或UI界面，它本质上是一门关于“决策”的学问——要做什么事，以及把事做成什么样子。从战略设计、组织设计到产品设计、架构设计，每一个环节都需要精准的决策。 + +**商业**则是所有事情的源头。商业不一定是赚多少钱，但它一定绕不开社会价值。商业好不好，最终的衡量标准是 ROI（投资回报率），这里可以用公式表达：`ROI = 社会价值/实现代价`。即用更低的成本实现更大的社会价值，这就是商业的本质。 + +在这个框架下，我们才能理解为什么顶级产品经理做的是“减法”，而顶级架构师做的是“乘法”。 + +好产品的定义是：**用最少的功能，实现最大化的需求覆盖**。“少就是指数级的多”不仅是Google创始人的理念，更是产品设计的黄金准则。就像计算机的 CPU，五十多年来其内部实现不断迭代，但规格接口几乎保持不变——这种“封闭性”恰恰是好产品的特征。 + +架构设计之所以比产品设计更难，是因为它极度“逆直觉”。当我看到团队 Leader 简单地按照页面分配任务（页面A交给张三，页面B交给李四......）时，就知道这样的架构设计通常是错误的。**真正好的架构设计是在做“乘法”**，它要求每个模块都应被当作一个“子业务”来设计——**有独立需求边界、高复用性、低耦合。就像搭乐高，积木种类越少、拼装步骤越简、外部依赖越成熟，系统就越健壮**。 + + +## AI时代：“人月神话” 的终结 + +在《许式伟的架构课》第74节中，我曾提出一个思想实验：假设一家公司只保留产品经理和架构师，将所有编码任务外包。如果一个产品原本需要10人年完成，那么理论上，20人可做半年，40人可做一季度，120人甚至可在一个月内交付——前提是任务已被充分拆解。 + +这个实验揭示了一个被长期忽视的真相：软件工程的真正瓶颈，从来不是开发本身，而是产品与架构的设计过程。因为设计难以并行，而开发、测试、集成等后续环节，在理想状态下完全可以高度并行。 + +我将这一洞察总结为“软件工程的极限理论（许式定律）”—— + +>制约软件工程进度的瓶颈是产品设计和架构设计，这个过程无法并行；而与之对应的，开发过程可以并行，极限状态是10 分钟就把想要的东西做出来 + +过去，这只是一个理论模型，思想实验。现实中，我们无法瞬间招募成百上千名合格开发者，沟通成本、质量控制、知识传递等现实约束，让“并行开发”止步于想象。 + +但AI Coding的出现，彻底打破了这一限制。在AI时代，每个公司都可以“瞬间雇佣一万个开发人员”——新增一个 AI 开发者边际成本趋近于零。 + +这意味着，“许式定律”中的极限理论不再只是思想实验，而成为每个团队必须面对的现实： + +>如果你的产品需求清晰、架构拆解合理，AI能在几小时内交付过去需要数周的代码；
但如果你的需求模糊、模块边界混乱，AI只会以百倍速度放大你的错误。 + +人月神话的终结，不是因为人变少了，而是因为“月”不再由“人”定义。 + +AI 时代，每个公司都可雇任意多开发人员，因此传统软件工程中人月神话的“人月”不再是有效的度量单位。**开发工时不再是稀缺资源，清晰的问题定义与优雅的系统拆解，才是新时代的稀缺能力**。 + +当然，既然理论上我能够任意增加研发工时，为什么一个商业软件还是没办法一天内就做出来？制约的瓶颈因素有哪些？这是一个值得深入探讨的问题，今天不作展开，欢迎读者交流讨论。 + +## AI 在软件工程各环节的实践与挑战 + +在实际落地的过程中，我们发现AI在不同环节的表现差异显著。 + +在**产品设计**环节，AI 目前还难以在核心的决策过程中提供太大帮助。但它正在改变产品设计的表达方式——未来的产品经理必须输出 Live Demo，而不仅仅是静态原型。点击按钮要有真实反应，原型要能实际运行，这将成为AI时代产品设计的基本要求。 + +在**架构设计**环节，AI 能够辅助生成设计方案，但无法自动选择最优解，也不能自动拆解任务。在我们开发 XGo 语言的实践中，我们要求 AI 将每个功能拆解为三个标准动作：实现语法（AST/Parser/Format）、实现语义（Compiler）、写文档（Quick Start）。这种明确的指令框架大大提升了AI的工作质量。 + +在**开发与测试**环节，虽然这是 AI 最擅长的部分，但远非完美。在一个具体的案例中，AI 为实现可选参数功能提供的初始方案存在严重缺陷，甚至编写的测试用例也只是“自欺欺人”——刚好让有问题的代码通过测试，而没有真正覆盖所有分支。 + +经过多次迭代，我们发现：好的测试用例能够大幅提升 AI 的代码质量。测试覆盖率在AI时代变得前所未有的重要。如果团队原有的测试覆盖率不足，盲目引入 AI Coding 可能会是一场灾难。 + +## 驾驭AI：从“手动挡”到“自动挡”的思维转变 + +如何正确理解AI的编程能力？我的比喻是：**AI Coding不是自动驾驶，而是自动挡**。 + +自动驾驶（L5级别）意味着开发者完全不需要理解代码，只需给出需求即可。这离我们还很遥远。而自动挡意味着你仍然需要驾驶，需要知道方向，但操作门槛显著降低。 + +这个比喻引申出几个重要启示： + +首先，我**不建议新手直接使用AI Coding**。就像开自动挡车仍然需要驾驶技术一样，使用AI Coding需要对软件工程有足够的理解和驾驭能力。 + +其次，AI不会让所有开发者失业，而是导致两极分化。**优秀的开发者会因AI而更加高效、更加值钱**；而能力不足的开发者确实面临淘汰风险。 + +最后，AI的优势不在于推理能力（大致在人类平均线附近），**而在于几乎没有知识盲区**。它是全人类知识的总和，这使它能够解答许多看似困难的问题。 + +## 拥抱变革：效率倍增是底线要求 + +如果一个公司的软件开发过程没有因为AI而实现效率倍增，那么它必将成为落后者。效率翻倍只是底线，实际上有潜力实现更高的提升。 + +在 XGo 语言的开发中，我们已经全面使用 AI Coding，并且以完全公开透明的方式展示整个过程——包括如何给 AI 提任务、如何指挥 AI 工作。欢迎大家到 XGo 仓库（github.com/goplus/xgo）观摩交流。 + +AI时代不是终点，而是新的起点。我期待与更多朋友探讨两个方向的深度合作： + +对于教育从业者，让我们一起探讨AI时代的工程教育变革。1024实训营将继续以公开透明的方式探索软件工程的最佳实践。 + +对于企业决策者（CEO/CTO/技术总监），七牛云提供最全的 AI Coding 模型 API 服务和新一代软件工程的落地咨询（免费），帮助你的团队顺利过渡到AI新时代。 + +软件工程正在被重塑，而我们有幸成为这场变革的见证者和参与者。与其恐惧，不如拥抱；与其被动，不如主动学习驾驭这个强大的新工具。 + +未来的软件工程，属于那些能够将人类智慧与机器智能完美结合的组织和个人。 \ No newline at end of file diff --git a/website/blog/authors.yml b/website/blog/authors.yml new file mode 100644 index 0000000..943a20a --- /dev/null +++ b/website/blog/authors.yml @@ -0,0 +1,5 @@ +techcamp: + name: 1024 TechCamp Team + title: 实训营团队 + url: https://github.com/qiniu/techcamp + image_url: https://github.com/qiniu.png diff --git a/website/blog/tags.yml b/website/blog/tags.yml new file mode 100644 index 0000000..9ba9a53 --- /dev/null +++ b/website/blog/tags.yml @@ -0,0 +1,49 @@ +announcement: + label: 公告 + permalink: /announcement + description: 实训营公告与通知 + +ai: + label: AI + permalink: /ai + description: AI 相关技术文章 + +go: + label: Go + permalink: /go + description: Go 语言相关 + +compiler: + label: 编译器 + permalink: /compiler + description: 编译器技术 + +engineering: + label: 工程实践 + permalink: /engineering + description: 工程实践与最佳实践 + +architecture: + label: 架构设计 + permalink: /architecture + description: 架构设计与系统设计 + +xgo: + label: XGo + permalink: /xgo + description: XGo 编程语言 + +llgo: + label: LLGo + permalink: /llgo + description: LLGo 编译器 + +python: + label: Python + permalink: /python + description: Python 相关技术 + +career: + label: 职业发展 + permalink: /career + description: 工程师职业发展与成长 diff --git a/website/docs/contributing.md b/website/docs/contributing.md new file mode 100644 index 0000000..d8b800b --- /dev/null +++ b/website/docs/contributing.md @@ -0,0 +1,57 @@ +--- +sidebar_position: 2 +--- + +# 参与贡献 + +我们欢迎所有形式的贡献！ + +## 贡献方式 + +### 📝 内容贡献 + +分享你的技术文章和实践经验： + +**贡献到网站博客：** +1. Fork 本仓库 +2. 在 `website/blog/` 目录下创建新的 Markdown 文件 +3. 按照 Docusaurus 博客格式编写文章（参考现有文章） +4. 提交 Pull Request + +**贡献技术分享文章：** +1. Fork 本仓库 +2. 在仓库根目录的 `2025/` 目录下创建你的文章目录 +3. 编写 Markdown 格式的技术文章 +4. 提交 Pull Request + +### 🐛 问题反馈 + +如果你发现任何问题或有改进建议，请： + +1. 在 [GitHub Issues](https://github.com/qiniu/techcamp/issues) 创建新 issue +2. 详细描述问题或建议 +3. 如有可能，提供复现步骤 + +### 💡 功能建议 + +有好的想法？欢迎提出： + +1. 查看现有的 [提案](https://github.com/qiniu/techcamp/issues?q=label%3Aproposal) +2. 创建新的功能建议 issue +3. 参与讨论和投票 + +### 🌟 社区建设 + +- 参与讨论 +- 回答其他人的问题 +- 分享你的学习心得 + +## 代码规范 + +- 遵循现有的代码风格 +- 提交前进行测试 +- 编写清晰的 commit 信息 + +## 许可证 + +本项目采用 Apache-2.0 许可证。 diff --git a/website/docs/intro.md b/website/docs/intro.md new file mode 100644 index 0000000..cc1061e --- /dev/null +++ b/website/docs/intro.md @@ -0,0 +1,30 @@ +--- +sidebar_position: 1 +--- + +# 关于 1024 实训营 + +欢迎来到 **1024 实训营**！ + +## 项目简介 + +1024 实训营，由七牛云发起，致力于打造一个开放、实践、创新的工程师成长平台。我们以开源精神为基石，以工程实践为路径，以架构思维为指引，在真实项目中锤炼工程师的工匠精神。 + +在这里，你将直面真实复杂的开源项目，体验严谨的工程规范，感受架构设计的艺术，在实战中锻造工程思维，在协作中传承技术精神。 + +我们相信，优秀的工程师不仅需要扎实的技术功底，更需要追求卓越的工程精神。 + +如果你也热爱技术、渴望成长，欢迎加入我们。 + +## 项目特色 + +- **开源公开**：过程公开，结果开源，倒逼高质量产出，让优秀者容易被看见 +- **AI Native**：倡导 Build/Think/Code With AI，让 AI 成为你最强大的伙伴，共同创造 +- **技术纵深**：挑战编程语言、编译器等高技术门槛项目，技术纵深足够，切入点不设限 +- **资深带教**：资深专家全程陪跑，代码逐行审阅，架构反复推敲，坚持高工程标准 +- **全流程参与**：从定方位到架构设计再到开发实现，体验完整的产品思维和架构思维 +- **小团队共创**：3-5 人小组协作，激发潜能，培养团队协作和领导力 + +## 快速开始 + +查看我们的 [GitHub 仓库](https://github.com/qiniu/techcamp) 了解更多信息，或者访问 [技术博客](/blog) 阅读精彩的技术分享。 diff --git a/website/docs/proposals.md b/website/docs/proposals.md new file mode 100644 index 0000000..241ba2f --- /dev/null +++ b/website/docs/proposals.md @@ -0,0 +1,21 @@ +--- +sidebar_position: 3 +--- + +# 提案与建议 + +这里收集了实训营的各类提案和指导文档。 + +## 课程指导 + +- [定方向](https://github.com/qiniu/techcamp/blob/main/proposal/课程指导-定方向.md) + +## 提交提案 + +如果你有新的想法或建议，欢迎： + +1. 在 [GitHub Issues](https://github.com/qiniu/techcamp/issues) 创建提案 +2. 使用 `proposal` 标签标记 +3. 详细描述你的想法和实现思路 + +我们会认真审阅每一个提案，优秀的提案将被采纳并实施。 diff --git a/website/docusaurus.config.ts b/website/docusaurus.config.ts new file mode 100644 index 0000000..d66c4a9 --- /dev/null +++ b/website/docusaurus.config.ts @@ -0,0 +1,152 @@ +import {themes as prismThemes} from 'prism-react-renderer'; +import type {Config} from '@docusaurus/types'; +import type * as Preset from '@docusaurus/preset-classic'; + +// This runs in Node.js - Don't use client-side code here (browser APIs, JSX...) + +const config: Config = { + title: '1024 TechCamp', + tagline: '携手成长，成就优秀工程师', + favicon: 'img/favicon.ico', + + // Future flags, see https://docusaurus.io/docs/api/docusaurus-config#future + future: { + v4: true, // Improve compatibility with the upcoming Docusaurus v4 + }, + + // Set the production url of your site here + url: 'https://qiniu.github.io', + // Set the // pathname under which your site is served + // For GitHub pages deployment, it is often '//' + baseUrl: '/techcamp/', + + // GitHub pages deployment config. + // If you aren't using GitHub pages, you don't need these. + organizationName: 'qiniu', // Usually your GitHub org/user name. + projectName: 'techcamp', // Usually your repo name. + + onBrokenLinks: 'throw', + onBrokenMarkdownLinks: 'warn', + + // Even if you don't use internationalization, you can use this field to set + // useful metadata like html lang. For example, if your site is Chinese, you + // may want to replace "en" with "zh-Hans". + i18n: { + defaultLocale: 'zh-Hans', + locales: ['zh-Hans'], + }, + + presets: [ + [ + 'classic', + { + docs: { + sidebarPath: './sidebars.ts', + editUrl: 'https://github.com/qiniu/techcamp/edit/main/website/', + }, + blog: { + showReadingTime: true, + feedOptions: { + type: ['rss', 'atom'], + xslt: true, + }, + // Edit URL points to blog branch for direct deployment + editUrl: ({blogPath}: {blogPath: string}) => { + return `https://github.com/qiniu/techcamp/edit/blog/website/blog/${blogPath}`; + }, + blogTitle: '技术博客', + blogDescription: '1024 实训营技术分享与实践经验', + postsPerPage: 10, + blogSidebarTitle: '最新文章', + blogSidebarCount: 10, + onInlineTags: 'warn', + onInlineAuthors: 'warn', + onUntruncatedBlogPosts: 'warn', + }, + theme: { + customCss: './src/css/custom.css', + }, + } satisfies Preset.Options, + ], + ], + + themeConfig: { + // Replace with your project's social card + image: 'img/docusaurus-social-card.jpg', + colorMode: { + respectPrefersColorScheme: true, + }, + navbar: { + title: '1024 TechCamp', + logo: { + alt: '1024 TechCamp Logo', + src: 'img/logo.svg', + }, + items: [ + { + type: 'docSidebar', + sidebarId: 'tutorialSidebar', + position: 'left', + label: '实训营', + }, + {to: '/blog', label: '技术博客', position: 'left'}, + { + href: 'https://github.com/qiniu/techcamp', + label: 'GitHub', + position: 'right', + }, + ], + }, + footer: { + style: 'dark', + links: [ + { + title: '文档', + items: [ + { + label: '关于实训营', + to: '/docs/intro', + }, + { + label: '参与贡献', + to: '/docs/contributing', + }, + ], + }, + { + title: '社区', + items: [ + { + label: 'GitHub', + href: 'https://github.com/qiniu/techcamp', + }, + { + label: '七牛云', + href: 'https://www.qiniu.com', + }, + ], + }, + { + title: '更多', + items: [ + { + label: '技术博客', + to: '/blog', + }, + { + label: '提案与建议', + to: '/docs/proposals', + }, + ], + }, + ], + copyright: `Copyright © ${new Date().getFullYear()} Qiniu Cloud. Built with Docusaurus.`, + }, + prism: { + theme: prismThemes.github, + darkTheme: prismThemes.dracula, + }, + } satisfies Preset.ThemeConfig, +}; + +export default config; diff --git a/website/package-lock.json b/website/package-lock.json new file mode 100644 index 0000000..9a3bae5 --- /dev/null +++ b/website/package-lock.json @@ -0,0 +1,17977 @@ +{ + "name": "website", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "website", + "version": "0.0.0", + "dependencies": { + "@docusaurus/core": "3.9.2", + "@docusaurus/preset-classic": "3.9.2", + "@mdx-js/react": "^3.0.0", + "clsx": "^2.0.0", + "prism-react-renderer": "^2.3.0", + "react": "^19.0.0", + "react-dom": "^19.0.0" + }, + "devDependencies": { + "@docusaurus/module-type-aliases": "3.9.2", + "@docusaurus/tsconfig": "3.9.2", + "@docusaurus/types": "3.9.2", + "typescript": "~5.6.2" + }, + "engines": { + "node": ">=20.0" + } + }, + "node_modules/@ai-sdk/gateway": { + "version": 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deploy", + "clear": "docusaurus clear", + "serve": "docusaurus serve", + "write-translations": "docusaurus write-translations", + "write-heading-ids": "docusaurus write-heading-ids", + "typecheck": "tsc" + }, + "dependencies": { + "@docusaurus/core": "3.9.2", + "@docusaurus/preset-classic": "3.9.2", + "@mdx-js/react": "^3.0.0", + "clsx": "^2.0.0", + "prism-react-renderer": "^2.3.0", + "react": "^19.0.0", + "react-dom": "^19.0.0" + }, + "devDependencies": { + "@docusaurus/module-type-aliases": "3.9.2", + "@docusaurus/tsconfig": "3.9.2", + "@docusaurus/types": "3.9.2", + "typescript": "~5.6.2" + }, + "browserslist": { + "production": [ + ">0.5%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 3 chrome version", + "last 3 firefox version", + "last 5 safari version" + ] + }, + "engines": { + "node": ">=20.0" + } +} diff --git a/website/public/favicon.svg b/website/public/favicon.svg new file mode 100644 index 0000000..d199004 --- /dev/null +++ b/website/public/favicon.svg @@ -0,0 +1,4 @@ + + + 🚀 + diff --git a/website/sidebars.ts b/website/sidebars.ts new file mode 100644 index 0000000..2897139 --- /dev/null +++ b/website/sidebars.ts @@ -0,0 +1,33 @@ +import type {SidebarsConfig} from '@docusaurus/plugin-content-docs'; + +// This runs in Node.js - Don't use client-side code here (browser APIs, JSX...) + +/** + * Creating a sidebar enables you to: + - create an ordered group of docs + - render a sidebar for each doc of that group + - provide next/previous navigation + + The sidebars can be generated from the filesystem, or explicitly defined here. + + Create as many sidebars as you want. + */ +const sidebars: SidebarsConfig = { + // By default, Docusaurus generates a sidebar from the docs folder structure + tutorialSidebar: [{type: 'autogenerated', dirName: '.'}], + + // But you can create a sidebar manually + /* + tutorialSidebar: [ + 'intro', + 'hello', + { + type: 'category', + label: 'Tutorial', + items: ['tutorial-basics/create-a-document'], + }, + ], + */ +}; + +export default sidebars; diff --git a/website/src/components/HomepageFeatures/index.tsx b/website/src/components/HomepageFeatures/index.tsx new file mode 100644 index 0000000..a7ca82b --- /dev/null +++ b/website/src/components/HomepageFeatures/index.tsx @@ -0,0 +1,68 @@ +import type {ReactNode} from 'react'; +import clsx from 'clsx'; +import Heading from '@theme/Heading'; +import styles from './styles.module.css'; + +type FeatureItem = { + title: string; + Svg: React.ComponentType>; + description: ReactNode; +}; + +const FeatureList: FeatureItem[] = [ + { + title: '开源公开', + Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default, + description: ( + <> + 过程公开，结果开源，倒逼高质量产出。让优秀的工程师容易被看见，在真实项目中锤炼工程思维。 + + ), + }, + { + title: 'AI Native', + Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default, + description: ( + <> + 倡导 Build/Think/Code With AI，让 AI 成为你最强大的伙伴。拥抱 AI 时代，共同创造未来。 + + ), + }, + { + title: '资深带教', + Svg: require('@site/static/img/undraw_docusaurus_react.svg').default, + description: ( + <> + 资深专家全程陪跑，代码逐行审阅，架构反复推敲。坚持高工程标准，培养工匠精神。 + + ), + }, +]; + +function Feature({title, Svg, description}: FeatureItem) { + return ( +
+
+ +
+
+ {title} +

{description}

+
+
+ ); +} + +export default function HomepageFeatures(): ReactNode { + return ( +
+
+
+ {FeatureList.map((props) => ( + + ))} +
+
+
+ ); +} diff --git a/website/src/components/HomepageFeatures/styles.module.css b/website/src/components/HomepageFeatures/styles.module.css new file mode 100644 index 0000000..b248eb2 --- /dev/null +++ b/website/src/components/HomepageFeatures/styles.module.css @@ -0,0 +1,11 @@ +.features { + display: flex; + align-items: center; + padding: 2rem 0; + width: 100%; +} + +.featureSvg { + height: 200px; + width: 200px; +} diff --git a/website/src/css/custom.css b/website/src/css/custom.css new file mode 100644 index 0000000..2bc6a4c --- /dev/null +++ b/website/src/css/custom.css @@ -0,0 +1,30 @@ +/** + * Any CSS included here will be global. The classic template + * bundles Infima by default. Infima is a CSS framework designed to + * work well for content-centric websites. + */ + +/* You can override the default Infima variables here. */ +:root { + --ifm-color-primary: #2e8555; + --ifm-color-primary-dark: #29784c; + --ifm-color-primary-darker: #277148; + --ifm-color-primary-darkest: #205d3b; + --ifm-color-primary-light: #33925d; + --ifm-color-primary-lighter: #359962; + --ifm-color-primary-lightest: #3cad6e; + --ifm-code-font-size: 95%; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); +} + +/* For readability concerns, you should choose a lighter palette in dark mode. */ +[data-theme='dark'] { + --ifm-color-primary: #25c2a0; + --ifm-color-primary-dark: #21af90; + --ifm-color-primary-darker: #1fa588; + --ifm-color-primary-darkest: #1a8870; + --ifm-color-primary-light: #29d5b0; + --ifm-color-primary-lighter: #32d8b4; + --ifm-color-primary-lightest: #4fddbf; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); +} diff --git a/website/src/pages/index.module.css b/website/src/pages/index.module.css new file mode 100644 index 0000000..de8e181 --- /dev/null +++ b/website/src/pages/index.module.css @@ -0,0 +1,24 @@ +/** + * CSS files with the .module.css suffix will be treated as CSS modules + * and scoped locally. + */ + +.heroBanner { + padding: 4rem 0; + text-align: center; + position: relative; + overflow: hidden; +} + +@media screen and (max-width: 996px) { + .heroBanner { + padding: 2rem; + } +} + +.buttons { + display: flex; + align-items: center; + justify-content: center; + gap: 1rem; +} diff --git a/website/src/pages/index.tsx b/website/src/pages/index.tsx new file mode 100644 index 0000000..b516caf --- /dev/null +++ b/website/src/pages/index.tsx @@ -0,0 +1,49 @@ +import type {ReactNode} from 'react'; +import clsx from 'clsx'; +import Link from '@docusaurus/Link'; +import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; +import Layout from '@theme/Layout'; +import HomepageFeatures from '@site/src/components/HomepageFeatures'; +import Heading from '@theme/Heading'; + +import styles from './index.module.css'; + +function HomepageHeader() { + const {siteConfig} = useDocusaurusContext(); + return ( +
+
+ + {siteConfig.title} + +

{siteConfig.tagline}

+
+ + 了解实训营 🚀 + + + 技术博客 📖 + +
+
+
+ ); +} + +export default function Home(): ReactNode { + const {siteConfig} = useDocusaurusContext(); + return ( + + +
+ +
+ + ); +} diff --git a/website/src/pages/markdown-page.md b/website/src/pages/markdown-page.md new file mode 100644 index 0000000..9756c5b --- /dev/null +++ b/website/src/pages/markdown-page.md @@ -0,0 +1,7 @@ +--- +title: Markdown page example +--- + +# Markdown page example + +You don't need React to write simple standalone pages. diff --git a/website/src/styles/global.css b/website/src/styles/global.css new file mode 100644 index 0000000..3ec1648 --- /dev/null +++ b/website/src/styles/global.css @@ -0,0 +1,126 @@ +:root { + --color-primary: #0066cc; + --color-bg: #ffffff; + --color-text: #333333; + --color-text-muted: #666666; + --color-heading: #111111; + --color-border: #e0e0e0; + --color-tag-bg: #f0f0f0; + --color-tag-text: #555555; + --color-code-bg: #f5f5f5; + --color-link: #0066cc; + --color-link-hover: #0052a3; +} + +@media (prefers-color-scheme: dark) { + :root { + --color-bg: #1a1a1a; + --color-text: #e0e0e0; + --color-text-muted: #a0a0a0; + --color-heading: #ffffff; + --color-border: #333333; + --color-tag-bg: #2a2a2a; + --color-tag-text: #cccccc; + --color-code-bg: #2d2d2d; + --color-link: #4da6ff; + --color-link-hover: #80bfff; + } +} + +* { + box-sizing: border-box; + margin: 0; + padding: 0; +} + +html { + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Noto Sans SC', 'Helvetica Neue', Arial, sans-serif; + background: var(--color-bg); + color: var(--color-text); +} + +body { + min-height: 100vh; + display: flex; + flex-direction: column; +} + +main { + flex: 1; +} + +.container { + max-width: 1200px; + margin: 0 auto; + padding: 0 1rem; +} + +.navbar { + background: var(--color-bg); + border-bottom: 1px solid var(--color-border); + padding: 1rem 0; + position: sticky; + top: 0; + z-index: 100; + backdrop-filter: blur(10px); + background: rgba(255, 255, 255, 0.9); +} + +@media (prefers-color-scheme: dark) { + .navbar { + background: rgba(26, 26, 26, 0.9); + } +} + +.navbar .container { + display: flex; + justify-content: space-between; + align-items: center; 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a/website/static/img/docusaurus-social-card.jpg b/website/static/img/docusaurus-social-card.jpg new file mode 100644 index 0000000..ffcb448 Binary files /dev/null and b/website/static/img/docusaurus-social-card.jpg differ diff --git a/website/static/img/docusaurus.png b/website/static/img/docusaurus.png new file mode 100644 index 0000000..f458149 Binary files /dev/null and b/website/static/img/docusaurus.png differ diff --git a/website/static/img/favicon.ico b/website/static/img/favicon.ico new file mode 100644 index 0000000..c01d54b Binary files /dev/null and b/website/static/img/favicon.ico differ diff --git a/website/static/img/logo.svg b/website/static/img/logo.svg new file mode 100644 index 0000000..9db6d0d --- /dev/null +++ b/website/static/img/logo.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/website/static/img/undraw_docusaurus_mountain.svg b/website/static/img/undraw_docusaurus_mountain.svg new file mode 100644 index 0000000..af961c4 --- /dev/null +++ b/website/static/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,171 @@ + + Easy to Use + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/website/static/img/undraw_docusaurus_react.svg b/website/static/img/undraw_docusaurus_react.svg new file mode 100644 index 0000000..94b5cf0 --- /dev/null +++ b/website/static/img/undraw_docusaurus_react.svg @@ -0,0 +1,170 @@ + + Powered by React + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/website/static/img/undraw_docusaurus_tree.svg b/website/static/img/undraw_docusaurus_tree.svg new file mode 100644 index 0000000..d9161d3 --- /dev/null +++ b/website/static/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/website/tsconfig.json b/website/tsconfig.json new file mode 100644 index 0000000..920d7a6 --- /dev/null +++ b/website/tsconfig.json @@ -0,0 +1,8 @@ +{ + // This file is not used in compilation. It is here just for a nice editor experience. + "extends": "@docusaurus/tsconfig", + "compilerOptions": { + "baseUrl": "." + }, + "exclude": [".docusaurus", "build"] +}