
RepoAudit: AI-Powered Code Security at Scale
Autonomous LLM agent designed for repository-level vulnerability detection
RepoAudit introduces an innovative approach to automating comprehensive code auditing using a multi-agent LLM system that can analyze entire code repositories to identify security vulnerabilities.
- Enhanced Discovery: Employs a structured multi-agent workflow with specialized roles (Coordinator, Explorer, Inspector, Reporter) to systematically audit codebases
- Context-Aware Analysis: Overcomes traditional LLM context limits by intelligently managing repository exploration and knowledge sharing between agents
- Practical Results: Outperforms existing tools by finding 43.3% more bugs with 50.7% higher precision in benchmark testing
- Security Impact: Enables proactive identification of vulnerabilities before deployment, reducing security risks in software development pipelines
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing