AI & SecurityCase Study

YoAuditor

LLM-powered code auditor for GitHub

View on GitHub
LocalRuns on-device
LLMAI-powered
PrivateNo data sent out
RustBuilt with
Audit any repo for bugs and security issues using local AI.
01

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.

02

Solution

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.

03

Outcome

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.

Tech & tools

  • Rust
  • LLM
  • Security
  • GitHub API

Explore the project

Source code, docs, and contributions are on GitHub.

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