Add technical write-up part 2: Designing AI Agents That Don't Fall Apart#27
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Add technical write-up part 2: Designing AI Agents That Don't Fall Apart#27pringon wants to merge 2 commits into
pringon wants to merge 2 commits into
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Article covering learnings from using Claude Code as a development partner: - Starting with a spec for shared context - CLAUDE.md and development log as growing context - Planning work before execution - Parallelizing via worktrees - Reviewing tests over code - Managing verbose test output - Real velocity numbers and when it's fast vs slow Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Article covering architecture patterns for reliable LLM agents: - Inference over configuration - Error isolation at every level - Specimen-based LLM testing - Pluggable adapters - Metadata embedding over databases - Safe defaults for LLM fallibility - Iterative prompt engineering - Pipeline orchestration patterns Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
Context
Split from PR #26 for separate review. This article focuses on architecture patterns and design decisions for building reliable LLM-powered systems.
Test plan
🤖 Generated with Claude Code