docs: replace bare 'AI agent' / 'AI assistant' with 'coding agent' throughout

Full sweep across all documentation and user-facing CLI messages to
align terminology. Bare references like 'AI agent', 'AI assistant',
and 'AI Agent' are replaced with 'coding agent' or 'coding agent
integration' as appropriate.

Intentionally left unchanged:
- 'AI coding agent' (already correct expanded form)
- Deprecated --ai flag help text and error messages (describes the
  deprecated flag itself)
- Community extension descriptions (external project text)
- 'generated by an AI' in CONTRIBUTING.md (general AI, not agent)

Author: mnriem

CONTRIBUTING.md

@@ -102,7 +102,7 @@ cd <temp-dir>/speckit-test
 
 #### Manual testing process
 
-Any change that affects a slash command's behavior requires manually testing that command through an AI agent and submitting results with the PR.
+Any change that affects a slash command's behavior requires manually testing that command through a coding agent and submitting results with the PR.
 
 1. **Identify affected commands** — use the [prompt below](#determining-which-tests-to-run) to have your agent analyze your changed files and determine which commands need testing.
 2. **Set up a test project** — scaffold from your local branch (see [Testing setup](#testing-setup)).

README.md

@@ -123,7 +123,7 @@ If your environment blocks access to PyPI or GitHub, see the [Enterprise / Air-G
 
 ### 2. Establish project principles
 
-Launch your AI assistant in the project directory. Most agents expose spec-kit as `/speckit.*` slash commands; Codex CLI in skills mode uses `$speckit-*` instead.
+Launch your coding agent in the project directory. Most agents expose spec-kit as `/speckit.*` slash commands; Codex CLI in skills mode uses `$speckit-*` instead.
 
 Use the **`/speckit.constitution`** command to create your project's governing principles and development guidelines that will guide all subsequent development.
 
@@ -475,7 +475,7 @@ specify init --here --force
 
 ![Specify CLI bootstrapping a new project in the terminal](./media/specify_cli.gif)
 
-You will be prompted to select the AI agent you are using. You can also proactively specify it directly in the terminal:
+You will be prompted to select the coding agent integration you are using. You can also proactively specify it directly in the terminal:
 
 ```bash
 specify init <project_name> --integration copilot
@@ -505,7 +505,7 @@ specify init <project_name> --integration copilot --ignore-agent-tools
 
 ### **STEP 1:** Establish project principles
 
-Go to the project folder and run your AI agent. In our example, we're using `claude`.
+Go to the project folder and run your coding agent. In our example, we're using `claude`.
 
 ![Bootstrapping Claude Code environment](./media/bootstrap-claude-code.gif)
 
@@ -517,7 +517,7 @@ The first step should be establishing your project's governing principles using
 /speckit.constitution Create principles focused on code quality, testing standards, user experience consistency, and performance requirements. Include governance for how these principles should guide technical decisions and implementation choices.
 ```
 
-This step creates or updates the `.specify/memory/constitution.md` file with your project's foundational guidelines that the AI agent will reference during specification, planning, and implementation phases.
+This step creates or updates the `.specify/memory/constitution.md` file with your project's foundational guidelines that the coding agent will reference during specification, planning, and implementation phases.
 
 ### **STEP 2:** Create project specifications
 
@@ -725,9 +725,9 @@ The `/speckit.implement` command will:
 - Provide progress updates and handle errors appropriately
 
 > [!IMPORTANT]
-> The AI agent will execute local CLI commands (such as `dotnet`, `npm`, etc.) - make sure you have the required tools installed on your machine.
+> The coding agent will execute local CLI commands (such as `dotnet`, `npm`, etc.) - make sure you have the required tools installed on your machine.
 
-Once the implementation is complete, test the application and resolve any runtime errors that may not be visible in CLI logs (e.g., browser console errors). You can copy and paste such errors back to your AI agent for resolution.
+Once the implementation is complete, test the application and resolve any runtime errors that may not be visible in CLI logs (e.g., browser console errors). You can copy and paste such errors back to your coding agent for resolution.
 
 </details>
 

docs/installation.md

@@ -41,7 +41,7 @@ uvx --from git+https://github.com/github/spec-kit.git@vX.Y.Z specify init --here
 
 ### Specify Integration
 
-You can proactively specify your AI agent during initialization:
+You can proactively specify your coding agent integration during initialization:
 
 ```bash
 uvx --from git+https://github.com/github/spec-kit.git@vX.Y.Z specify init <project_name> --integration claude
@@ -86,7 +86,7 @@ specify version
 
 This helps verify you are running the official Spec Kit build from GitHub, not an unrelated package with the same name.
 
-After initialization, you should see the following commands available in your AI agent:
+After initialization, you should see the following commands available in your coding agent:
 
 - `/speckit.specify` - Create specifications
 - `/speckit.plan` - Generate implementation plans  

docs/quickstart.md

@@ -42,7 +42,7 @@ uvx --from git+https://github.com/github/spec-kit.git specify init <PROJECT_NAME
 
 ### Step 2: Define Your Constitution
 
-**In your AI Agent's chat interface**, use the `/speckit.constitution` slash command to establish the core rules and principles for your project. You should provide your project's specific principles as arguments.
+**In your coding agent's chat interface**, use the `/speckit.constitution` slash command to establish the core rules and principles for your project. You should provide your project's specific principles as arguments.
 
 ```markdown
 /speckit.constitution This project follows a "Library-First" approach. All features must be implemented as standalone libraries first. We use TDD strictly. We prefer functional programming patterns.
@@ -159,7 +159,7 @@ Generate an actionable task list using the `/speckit.tasks` command:
 
 ### Step 7: Validate and Implement
 
-Have your AI agent audit the implementation plan using `/speckit.analyze`:
+Have your coding agent audit the implementation plan using `/speckit.analyze`:
 
 ```bash
 /speckit.analyze
@@ -180,7 +180,7 @@ Finally, implement the solution:
 - **Don't focus on tech stack** during specification phase
 - **Iterate and refine** your specifications before implementation
 - **Validate** the plan before coding begins
-- **Let the AI agent handle** the implementation details
+- **Let the coding agent handle** the implementation details
 
 ## Next Steps
 

extensions/EXTENSION-USER-GUIDE.md

@@ -153,7 +153,7 @@ This will:
 2. Validate the manifest
 3. Check compatibility with your spec-kit version
 4. Install to `.specify/extensions/jira/`
-5. Register commands with your AI agent
+5. Register commands with your coding agent
 6. Create config template
 
 ### Install from URL
@@ -208,7 +208,7 @@ When an extension is removed, its corresponding skills are also cleaned up autom
 
 ### Using Extension Commands
 
-Extensions add commands that appear in your AI agent (Claude Code):
+Extensions add commands that appear in your coding agent (Claude Code):
 
 ```text
 # In Claude Code
@@ -780,12 +780,12 @@ specify extension add --dev /path/to/extension
 
 ### Command Not Available
 
-**Issue**: Extension command not appearing in AI agent
+**Issue**: Extension command not appearing in coding agent
 
 **Solutions**:
 
 1. Check extension is enabled: `specify extension list`
-2. Restart AI agent (Claude Code)
+2. Restart coding agent (Claude Code)
 3. Check command file exists:
 
    ```bash
@@ -819,8 +819,8 @@ specify extension add --dev /path/to/extension
 **Solutions**:
 
 1. Check MCP server is installed
-2. Check AI agent MCP configuration
-3. Restart AI agent
+2. Check coding agent MCP configuration
+3. Restart coding agent
 4. Check extension requirements: `specify extension info jira`
 
 ### Permission Denied

src/specify_cli/__init__.py

@@ -967,7 +967,7 @@ def init(
     ai_assistant: str = typer.Option(None, "--ai", help=AI_ASSISTANT_HELP),
     ai_commands_dir: str = typer.Option(None, "--ai-commands-dir", help="Directory for agent command files (required with --ai generic, e.g. .myagent/commands/)"),
     script_type: str = typer.Option(None, "--script", help="Script type to use: sh or ps"),
-    ignore_agent_tools: bool = typer.Option(False, "--ignore-agent-tools", help="Skip checks for AI agent tools like Claude Code"),
+    ignore_agent_tools: bool = typer.Option(False, "--ignore-agent-tools", help="Skip checks for coding agent tools like Claude Code"),
     no_git: bool = typer.Option(False, "--no-git", help="Skip git repository initialization"),
     here: bool = typer.Option(False, "--here", help="Initialize project in the current directory instead of creating a new one"),
     force: bool = typer.Option(False, "--force", help="Force merge/overwrite when using --here (skip confirmation)"),
@@ -997,18 +997,18 @@ def init(
 
     This command will:
     1. Check that required tools are installed (git is optional)
-    2. Let you choose your AI assistant
+    2. Let you choose your coding agent integration
     3. Download template from GitHub (or use bundled assets with --offline)
     4. Initialize a fresh git repository (if not --no-git and no existing repo)
-    5. Optionally set up AI assistant commands
+    5. Optionally set up coding agent integration commands
 
     Examples:
         specify init my-project
         specify init my-project --integration claude
         specify init my-project --integration copilot --no-git
         specify init --ignore-agent-tools my-project
         specify init . --integration claude         # Initialize in current directory
-        specify init .                     # Initialize in current directory (interactive AI selection)
+        specify init .                     # Initialize in current directory (interactive integration selection)
         specify init --here --integration claude    # Alternative syntax for current directory
         specify init --here --integration codex --integration-options="--skills"
         specify init --here --integration codebuddy
@@ -1170,7 +1170,7 @@ def init(
         ai_choices = {key: config["name"] for key, config in AGENT_CONFIG.items()}
         selected_ai = select_with_arrows(
             ai_choices,
-            "Choose your AI assistant:",
+            "Choose your coding agent integration:",
             "copilot"
         )
 
@@ -1241,7 +1241,7 @@ def init(
         else:
             selected_script = default_script
 
-    console.print(f"[cyan]Selected AI assistant:[/cyan] {selected_ai}")
+    console.print(f"[cyan]Selected coding agent integration:[/cyan] {selected_ai}")
     console.print(f"[cyan]Selected script type:[/cyan] {selected_script}")
 
     tracker = StepTracker("Initialize Specify Project")
@@ -1250,7 +1250,7 @@ def init(
 
     tracker.add("precheck", "Check required tools")
     tracker.complete("precheck", "ok")
-    tracker.add("ai-select", "Select AI assistant")
+    tracker.add("ai-select", "Select coding agent integration")
     tracker.complete("ai-select", f"{selected_ai}")
     tracker.add("script-select", "Select script type")
     tracker.complete("script-select", selected_script)
@@ -1565,7 +1565,7 @@ def _display_cmd(name: str) -> str:
             return f"/speckit-{name}"
         return f"/speckit.{name}"
 
-    steps_lines.append(f"{step_num}. Start using {usage_label} with your AI agent:")
+    steps_lines.append(f"{step_num}. Start using {usage_label} with your coding agent:")
 
     steps_lines.append(f"   {step_num}.1 [cyan]{_display_cmd('constitution')}[/] - Establish project principles")
     steps_lines.append(f"   {step_num}.2 [cyan]{_display_cmd('specify')}[/] - Create baseline specification")
@@ -1636,7 +1636,7 @@ def check():
         console.print("[dim]Tip: Install git for repository management[/dim]")
 
     if not any(agent_results.values()):
-        console.print("[dim]Tip: Install an AI assistant for the best experience[/dim]")
+        console.print("[dim]Tip: Install a coding agent for the best experience[/dim]")
 
 @app.command()
 def version():
@@ -1882,7 +1882,7 @@ def get_speckit_version() -> str:
 
 integration_app = typer.Typer(
     name="integration",
-    help="Manage AI agent integrations",
+    help="Manage coding agent integrations",
     add_completion=False,
 )
 app.add_typer(integration_app, name="integration")
@@ -2020,7 +2020,7 @@ def integration_list(
         console.print(table)
         return
 
-    table = Table(title="AI Agent Integrations")
+    table = Table(title="Coding Agent Integrations")
     table.add_column("Key", style="cyan")
     table.add_column("Name")
     table.add_column("Status")