Kerno Audit - Track AI's impact on your codebase quality & complexity

Hey Everyone! 👋

I'm excited to launch Kerno Audit today!

It's the tool we built to put together our report, The Impact of AI on Code Quality 2026, which tracks how AI coding is changing open-source codebases.

Now you can run the same audit on your own codebase. Kerno Audit compares your code before and after your team adopted AI, and shows you where quality slipped across five areas:

- Complexity. See which code became too complex to test or change safely, and where complexity is heading.

- Duplicate code. Find the functions your agents reimplemented when your codebase already had them.

- Rework. See the files and endpoints your team keeps reworking, and how much of that rework is fixing mistakes.

- Test coverage gaps. Find your most-changed code with no tests, and check whether tests keep up with what AI ships.

- Delivery. Track output per engineer, how much new code actually sticks, and who's reviewing your pull requests.

Every finding points to the exact functions, files and commits behind it, so you know what to fix first. Kerno also feeds those lessons back to your agents via MCP, so they stop making the same mistakes.

Hope it helps you find some interesting stuff in your codebase :D