Enables AI-assisted coding workflows to validate code changes through an adversarial debate between the coding agent and a critic LLM, surfacing only deadlocked decisions for human review.
Enables multi-agent code review with cross-verification of findings against source code, catching hallucinations and improving agent accuracy over time.
A multi-agent system that autonomously analyzes code, proves bugs with formal certificates, generates repairs, and validates patches, all over the Model Context Protocol.