Resources

Introducing Awesome Reviewers: A Public Library of AI-Powered Prompts Based on the Top Open Source GitHub Repos

A public resource of reusable code review prompts extracted from real-world open-source projects. Designed to help anyone from OSS maintainers to AI agent builders embed best practices into their workflows without starting from scratch.

News
2.8.2025
Guy Eisenkot
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Ordering Files for AI-Assisted Development

Explore how ordering files and understanding code grammar can enhance AI-assisted development.

Research
December 24, 2024
Nimrod Hauser

Extending OpenTelemetry to Pinpoint Code Elements: Our Journey to Close the Gap

Enhancing OpenTelemetry's capabilities to pinpoint specific code elements responsible for system behaviors.

Research
November 1, 2024
Anton Grübel

Code reviews are broken: How GitHub’s poor UX Is hurting developers

Why GitHub's outdated code review experience is frustrating developers and stifling progress. Explore the key flaws in its workflow and what needs to change for modern development.

Blog
September 24, 2024
Guy Eisenkot

From Review Thread to Team Standard: How We Built AwesomeReviewers

AwesomeReviewers demonstrates how code review discussions can turn into guidelines that capture the team’s collective wisdom. In this post, we’ll share how it works under the hood, and what we learned building it.

Blog
July 8, 2025
Guy Eisenkot

Code Review Comments to Dev Standards: 4 Internal Code Prompts We Turned Into AI Reviewers

Every engineering team has unspoken rules, the kind of standards you’ve repeated in PRs a hundred times but never bothered to write down. With AI code reviewers, those patterns don’t need to stay scattered.

Blog
July 21, 2025
Guy Eisenkot

5 Ways to Measure the Impact of AI Code Review

How to track outcomes, developer sentiment, and real ROI for your AI

Blog
August 6, 2025
Guy Eisenkot

Building an AI Code Review Agent: Advanced Diffing, Parsing, and Agentic Workflows

Enhancing AI-driven code reviews with Git Diff, Difftastic, and Tree Sitter. Discover how syntax-aware diffing, structured parsing, and historical tracking improve AI’s ability to understand and optimize code changes.

Blog
March 13, 2025
Guy Eisenkot

AI Code is Everywhere - Baz Gives Pull Requests the Overhaul GitHub Won’t with $8M Seed Round

Developers are increasingly leaning on AI to write and test code, Baz makes sure code changes never break running applications.

News
January 29, 2025
baz-reviewer-bot

What The Top Open Source Projects Teach Us About AI Code Review

What do pull request trends and comments from projects like LangChain, Kubeflow, Terraform, PyTorch, and Spring tell us?

Blog
July 23, 2025
Guy Eisenkot

The future of code review is agentic...

Meet your new code review agents.
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