Nayjest/Gito

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

What it solves

Gito is an AI-powered code reviewer designed to provide instant, consistent, and thorough feedback on code changes. It eliminates the wait for human reviewers and helps catch security, performance, and maintainability issues before they reach production.

How it works

It acts as a stateless, client-side tool that analyzes GitHub pull requests or local codebase changes. It sends the code directly to a user-configured LLM provider (such as OpenAI, Anthropic, Google, or local models via Ollama) without using intermediary servers. It can be integrated into CI/CD pipelines (like GitHub Actions or GitLab CI) to automatically post review comments on PRs or run locally via a CLI.

Who it’s for

  • Solo developers seeking expert-level feedback without a peer.
  • Development teams wanting to automate initial quality gates in their CI/CD pipelines.
  • Open source maintainers managing high volumes of contributions.

Highlights

  • Vendor Agnostic: Supports a wide range of LLM providers, including local runtimes like vLLM and llama.cpp.
  • Privacy-First: Zero-retention policy where code is transmitted directly to the LLM provider.
  • Flexible Configuration: Allows per-repository customization of review prompts, severity levels, and output templates via a .gito/config.toml file.
  • Broad Integration: Works with GitHub, GitLab, and issue trackers like Jira and Linear.

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