Problem
Teams needed a way to audit GitHub repositories for bugs, security issues, and code quality without manually reviewing every file. Traditional static analysis often missed semantic issues and context that only AI could grasp.
“Audit any repo for bugs and security issues using local AI.”
Teams needed a way to audit GitHub repositories for bugs, security issues, and code quality without manually reviewing every file. Traditional static analysis often missed semantic issues and context that only AI could grasp.
YoAuditor uses local LLMs to analyze repository code, producing actionable reports on potential bugs, security vulnerabilities, and performance concerns. It runs entirely on your machine for privacy and control, with support for multiple model backends.
Developers and teams can run deep audits on any public or private repo, getting AI-assisted feedback that complements existing linters and security scanners. The tool is open-source and extensible, with a growing community of contributors.