AI Code Review That Developers Actually Trust
Built by engineers with 15+ years in payment security
Developers were ignoring AI code reviews, and we understood why. The existing tools had fundamental problems:
18 comments per PR, only 2 actually read
Flags style nitpicks while missing critical bugs
No recollection of team decisions or past reviews
Uncertain findings presented as facts
We knew there had to be a better way.
To make AI code review deterministic, reliable, and trustworthy
We believe AI code review should be something you can truly rely on. Not random suggestions that change with every run, but consistent, predictable analysis that becomes an integral part of your development workflow. When diffray flags an issue, you can trust it's real and actionable.
Multi-agent architecture that thinks like a team, not a single AI trying to do everything
Confidence scoring filters out noise, delivering 87% fewer false positives
Fast feedback without compromising quality through parallel multi-agent analysis
Built by developers who understand the pain of noisy, unhelpful code reviews
Not mock examples — actual findings from production code reviews

Detected moment-timezone being added when the project already uses dayjs. A linter can't catch this — it requires understanding the existing codebase.
Real findings from cal.com open-source code reviews
We believe in giving back to the community. That's why diffray is free forever for open source projects.
No limits. No gotchas. Just powerful AI code review for the projects that move the world forward.
Join the teams building better code with AI they actually trust