Leo Wiggum v2 - Autonomous AI Coding Loop

Phased, skill-aware autonomous coding loop with browser validation, structured memory, and quality ratcheting. Works on any project or from scratch.

How It Works

1. Phase 0 — Discovery/Scaffold: Analyze codebase or scaffold a new project
2. Phase 1 — Foundation: Core infrastructure stories (schema, auth, config)
3. Phase 2 — Features: Story-based implementation with dependency ordering
4. Phase 3 — Polish & Validation: Integration validation, browser smoke tests, cleanup
5. Each iteration agent receives skill assignments and structured memory from previous iterations
6. Memory persists via .leo/ directory (prd.json, memory.json, quality-metrics.json, screenshots)

Usage