pull-request-review

GitHub on steroids

✨ Open-source DORA metrics platform for engineering teams ✨

Open source, self-hosted AI code review. Bring your own LLM.

Agent skills for Claude Code and Codex that review, change and create reusable Terraform modules by the rules of terraform-aws-modules.

Code review assistant powered by LLM

Ready-to-use system prompts for Agentic Code Review.

The review app for code your agent writes. Native Rust/GPUI desktop app with real Git workflows.

Cheaper and better Greptile alternative runs on your own github actions.

Robin is your AI pull request reviewer in the form of a super fast lightweight github action.

Community support for SemanticDiff, the programming language aware diff for Visual Studio Code and GitHub.

Free AI code reviews on every pull request. Bring your own key (OpenRouter free tier works), runs in your repo as a GitHub Action - no quotas, no per-seat fees.

MergeJudge AI Code Review: open-source GitHub Action and runner for AI pull request review that learns your repo's rules. Bring your own AI key.

AI-agent governance & SDD orchestration across OpenSpec, Spec Kit, and Markdown: multi-host parallel agent teams (Claude, Codex, Antigravity, OpenCode), backlog & PR queues, architecture/hygiene/SonarLint gates, and E2E verification.

🤔 Review GitHub PRs in Neovim

OpenCode GitHub agent in GitHub Actions

Local-first workspace for open-source maintainers and coding agents.

Local pull-request review brief for coding agents: the diff, the tests and callers of changed code, and change signals in one report. No LLM call, no upload. Claude Code used 44% fewer tokens with it on 42 public PRs.

Automated, Pull Request reviews and Issue Triaging powered by Google Gemini. With full codebase context. Installable as a GitHub Action.

PR Guardian AI automatically reviews pull requests using advanced AI analysis. It identifies code issues, security risks, performance problems, and provides actionable suggestions directly inside GitHub pull requests.

A code reviewer that reports only what it can prove: a test that shows the bug, or the data that confirms the risk. Open source, built by a fleet of AI agents with Saphan Studio for the Open Agent Hackathon 2026.