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112 lines
3.9 KiB
Markdown
112 lines
3.9 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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This is an autonomous coding agent system with a React-based UI. It uses the Claude Agent SDK to build complete applications over multiple sessions using a two-agent pattern:
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1. **Initializer Agent** - First session reads an app spec and creates features in a SQLite database
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2. **Coding Agent** - Subsequent sessions implement features one by one, marking them as passing
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## Commands
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### Python Backend
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```bash
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# Create and activate virtual environment
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python -m venv venv
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venv\Scripts\activate # Windows
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source venv/bin/activate # macOS/Linux
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# Install dependencies
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pip install -r requirements.txt
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# Run the main CLI launcher
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python start.py
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# Run agent directly for a specific project
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python autonomous_agent_demo.py --project-dir PROJECT_NAME
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```
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### React UI (in ui/ directory)
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```bash
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cd ui
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npm install
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npm run dev # Development server
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npm run build # Production build
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npm run lint # Run ESLint
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```
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## Architecture
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### Core Python Modules
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- `start.py` - CLI launcher with project creation/selection menu
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- `autonomous_agent_demo.py` - Entry point for running the agent
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- `agent.py` - Agent session loop using Claude Agent SDK
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- `client.py` - ClaudeSDKClient configuration with security hooks and MCP servers
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- `security.py` - Bash command allowlist validation (ALLOWED_COMMANDS whitelist)
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- `prompts.py` - Prompt template loading with project-specific fallback
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- `progress.py` - Progress tracking, database queries, webhook notifications
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### Feature Management
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Features are stored in SQLite (`features.db`) via SQLAlchemy. The agent interacts with features through an MCP server:
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- `mcp_server/feature_mcp.py` - MCP server exposing feature management tools
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- `api/database.py` - SQLAlchemy models (Feature table with priority, category, name, description, steps, passes)
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MCP tools available to the agent:
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- `feature_get_stats` - Progress statistics
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- `feature_get_next` - Get highest-priority pending feature
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- `feature_get_for_regression` - Random passing features for regression testing
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- `feature_mark_passing` - Mark feature complete
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- `feature_skip` - Move feature to end of queue
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- `feature_create_bulk` - Initialize all features (used by initializer)
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### React UI (ui/)
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- Tech stack: React 18, TypeScript, TanStack Query, Tailwind CSS v4, Radix UI
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- `src/App.tsx` - Main app with project selection, kanban board, agent controls
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- `src/hooks/useWebSocket.ts` - Real-time updates via WebSocket
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- `src/hooks/useProjects.ts` - React Query hooks for API calls
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- `src/lib/api.ts` - REST API client
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- `src/lib/types.ts` - TypeScript type definitions
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### Project Structure for Generated Apps
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Generated projects are stored in `generations/PROJECT_NAME/` with:
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- `prompts/app_spec.txt` - Application specification (XML format)
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- `prompts/initializer_prompt.md` - First session prompt
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- `prompts/coding_prompt.md` - Continuation session prompt
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- `features.db` - SQLite database with feature test cases
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### Security Model
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Defense-in-depth approach configured in `client.py`:
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1. OS-level sandbox for bash commands
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2. Filesystem restricted to project directory only
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3. Bash commands validated against `ALLOWED_COMMANDS` in `security.py`
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## Claude Code Integration
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- `.claude/commands/create-spec.md` - `/create-spec` slash command for interactive spec creation
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- `.claude/skills/frontend-design/SKILL.md` - Skill for distinctive UI design
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- `.claude/templates/` - Prompt templates copied to new projects
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## Key Patterns
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### Prompt Loading Fallback Chain
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1. Project-specific: `generations/{project}/prompts/{name}.md`
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2. Base template: `.claude/templates/{name}.template.md`
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### Agent Session Flow
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1. Check if `features.db` has features (determines initializer vs coding agent)
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2. Create ClaudeSDKClient with security settings
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3. Send prompt and stream response
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4. Auto-continue with 3-second delay between sessions
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