autocoder/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

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:

1. Initializer Agent - First session reads an app spec and creates features in a SQLite database
2. Coding Agent - Subsequent sessions implement features one by one, marking them as passing

Commands

Quick Start (Recommended)

# Windows - launches CLI menu
start.bat

# macOS/Linux
./start.sh

# Launch Web UI (serves pre-built React app)
start_ui.bat      # Windows
./start_ui.sh     # macOS/Linux

Python Backend (Manual)

# Create and activate virtual environment
python -m venv venv
venv\Scripts\activate  # Windows
source venv/bin/activate  # macOS/Linux

# Install dependencies
pip install -r requirements.txt

# Run the main CLI launcher
python start.py

# Run agent directly for a specific project
python autonomous_agent_demo.py --project-dir PROJECT_NAME

React UI (in ui/ directory)

cd ui
npm install
npm run dev      # Development server (hot reload)
npm run build    # Production build (required for start_ui.bat)
npm run lint     # Run ESLint

Note: The start_ui.bat script serves the pre-built UI from ui/dist/. After making UI changes, run npm run build in the ui/ directory.

Architecture

Core Python Modules

• start.py - CLI launcher with project creation/selection menu
• autonomous_agent_demo.py - Entry point for running the agent
• agent.py - Agent session loop using Claude Agent SDK
• client.py - ClaudeSDKClient configuration with security hooks and MCP servers
• security.py - Bash command allowlist validation (ALLOWED_COMMANDS whitelist)
• prompts.py - Prompt template loading with project-specific fallback
• progress.py - Progress tracking, database queries, webhook notifications

Feature Management

Features are stored in SQLite (features.db) via SQLAlchemy. The agent interacts with features through an MCP server:

• mcp_server/feature_mcp.py - MCP server exposing feature management tools
• api/database.py - SQLAlchemy models (Feature table with priority, category, name, description, steps, passes)

MCP tools available to the agent:

• feature_get_stats - Progress statistics
• feature_get_next - Get highest-priority pending feature
• feature_get_for_regression - Random passing features for regression testing
• feature_mark_passing - Mark feature complete
• feature_skip - Move feature to end of queue
• feature_create_bulk - Initialize all features (used by initializer)

React UI (ui/)

• Tech stack: React 18, TypeScript, TanStack Query, Tailwind CSS v4, Radix UI
• src/App.tsx - Main app with project selection, kanban board, agent controls
• src/hooks/useWebSocket.ts - Real-time updates via WebSocket
• src/hooks/useProjects.ts - React Query hooks for API calls
• src/lib/api.ts - REST API client
• src/lib/types.ts - TypeScript type definitions

Project Structure for Generated Apps

Generated projects are stored in generations/PROJECT_NAME/ with:

• prompts/app_spec.txt - Application specification (XML format)
• prompts/initializer_prompt.md - First session prompt
• prompts/coding_prompt.md - Continuation session prompt
• features.db - SQLite database with feature test cases

Security Model

Defense-in-depth approach configured in client.py:

1. OS-level sandbox for bash commands
2. Filesystem restricted to project directory only
3. Bash commands validated against ALLOWED_COMMANDS in security.py

Claude Code Integration

• .claude/commands/create-spec.md - /create-spec slash command for interactive spec creation
• .claude/skills/frontend-design/SKILL.md - Skill for distinctive UI design
• .claude/templates/ - Prompt templates copied to new projects

Key Patterns

Prompt Loading Fallback Chain

1. Project-specific: generations/{project}/prompts/{name}.md
2. Base template: .claude/templates/{name}.template.md

Agent Session Flow

1. Check if features.db has features (determines initializer vs coding agent)
2. Create ClaudeSDKClient with security settings
3. Send prompt and stream response
4. Auto-continue with 3-second delay between sessions

Real-time UI Updates

The UI receives updates via WebSocket (/ws/projects/{project_name}):

• progress - Test pass counts
• agent_status - Running/paused/stopped/crashed
• log - Agent output lines (streamed from subprocess stdout)
• feature_update - Feature status changes

Design System

The UI uses a neobrutalism design with Tailwind CSS v4:

• CSS variables defined in ui/src/styles/globals.css via @theme directive
• Custom animations: animate-slide-in, animate-pulse-neo, animate-shimmer
• Color tokens: --color-neo-pending (yellow), --color-neo-progress (cyan), --color-neo-done (green)