AI helps us write code faster than ever, but reviewing that code remains a bottleneck. For many engineering teams and open-source projects, review is still inconsistent, manual, and repetitive. Standards are enforced every day, often through scattered review comments, institutional knowledge, or buried documentation.
Developers end up rewriting the same comments across pull requests. New contributors struggle to align with unspoken standards. Maintainers burn time coaching instead of building. The best practices do exist. They're just buried across thousands of GitHub repositories.
Inspired by projects like deepwiki.com and context7.com, we asked: what if we could extract that institutional knowledge and make it easy to use?
That’s why we built Awesome Reviewers, a public resource of reusable code review prompts extracted from real-world open-source projects.
It’s designed to help anyone from OSS maintainers to AI agent builders embed best practices into their workflows without starting from scratch. It surfaces real-world code review patterns in a format that’s accessible, adaptable, and AI-ready.
Open-Source Wisdom Meets AI Usability
Awesome Reviewers is a searchable, open-source library of AI-powered reviewer prompts designed to help you enforce high-quality standards across your codebase. Over 470 specialized review prompts in over 15 languages.
Each reviewer includes:
- A copyable system prompt you can run, tweak, or extend
- A rationale for what it checks and why it matters
- Code examples pulled from real PRs
- Clear documentation for quick adoption
You can use these prompts with Baz’s Custom Reviewer engine, in your own coding agents, or even during manual reviews. Whether you’re scripting a CI job or exploring agent workflows, these are drop-in-ready examples to get you started.
Our first set of reviewers focuses on Python, TypeScript, and Go, with more languages on the way.
Sharing the Review Muscle Memory
Just like Baz’s Custom Reviewers help engineering teams encode institutional knowledge into their own codebases, Awesome Reviewers makes that idea public.
This is a shared, evolving resource that anyone can adopt, remix, or contribute to. We’re starting with top OSS projects, but we want to hear from the broader community.
Open-source maintainers: if you want your standards featured, reach out. We’d love to include your voice and help encode your team's hard-won wisdom.
What’s Next and How to Get Involved
We believe better code review isn’t just about tooling. It’s about surfacing and sharing knowledge. Awesome Reviewers is one small step toward more consistent, trustworthy, and scalable AI-assisted review. Whether you're an individual contributor, OSS maintainer, or building with AI, we hope it helps you get further, faster.
- Visit AwesomeReviewers.com to explore the library
- Contribute or suggest reviewers via GitHub
- Read how we built this here
Let’s build smarter review workflows together.
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