The problem: AI agents can write code fast, but they also break architecture, skip tests, and ignore conventions.
The solution: Constitutional governance. Every AI action goes through: - Constitutional audit (checks architecture, naming, placement) - Semantic validation (513 symbols in knowledge graph) - Test execution with auto-fix - Clean merge only if everything passes
Real metrics: - Code generation: 0% → 70% success - Semantic placement: 45% → 100% accuracy - 513 symbols vectorized, 66 module anchors, 48 policy chunks
The key innovation is making AI autonomy safe through human-authored policies that AI semantically understands. Agents operate in defined "autonomy lanes" with cryptographic governance for policy changes.
Built with Python, PostgreSQL, Qdrant. MIT licensed.
Next milestone: A3 (strategic refactoring across multiple files).
Happy to answer questions about the constitutional governance approach!