Cyrus Omar

Trustworthy Human-AI Collaboration in a Live Type-Theoretic Computational Commons

Cyrus Omar

Hazel addresses the "gap problem" in traditional programming by implementing a live execution environment that uses visual "holes" for error recovery and instant probes to provide immediate feedback on code changes. The system enforces a pure functional design with incremental memoization to enable real-time data flow analysis, while integrating advanced security measures like object capabilities and formal verification to safely coordinate human-AI collaboration. Future iterations aim to solve scalability challenges in multi-agent development through content-addressed versioning and semantic models, ultimately supporting a computational commons where code and data evolve together in a shared, verifiable state.