bug-hunter

Adversarial AI code review prevents false positives by using a multi-agent pipeline where Hunter, Skeptic, and Referee agents debate findings. This adversarial verification ensures only accurate security vulnerabilities, logic errors, and runtime bugs receive safe, verified auto-fixes.

Yes, you can automatically patch security vulnerabilities and logic errors in your codebase. The pipeline applies safe auto-fixes using git branching, worktree isolation, and test verification, with automatic rollback to ensure code quality and security.

Yes, you need Node.js 18 or higher to run automated security audits and bug hunting. Optionally, you can integrate Context Hub to enable documentation verification during the adversarial code auditing and bug fixing pipeline.

The best way to ensure auto-fixes do not break tests is using worktree isolation and test verification. The pipeline applies fixes in isolated git branches and automatically rolls back any changes that fail test verification or cause runtime bugs.

You can scan an entire project for runtime bugs and security vulnerabilities without manual oversight by running the automated adversarial pipeline. It identifies code flaws through multi-agent debates and safely patches them using isolated git branching.

Standard automated code review tools produce false positives because they lack adversarial verification. The multi-agent pipeline solves this by forcing Hunter, Skeptic, and Referee agents to debate code findings before applying any safe, verified auto-fixes.