# Show HN: AI Code Rating – a 3-character disclosure of how AI was used in a repo > Source: > Published: 2026-11-11 15:02:04+00:00 Hello HN! Have you ever wanted to quickly determine an open source project's AI use? Me too, so I've come up with a spec that I think may help solve the issue. Maybe it'll be useful, or maybe it'll be crap, you decide! AI Code Rating - Three simple characters that tell a reader who maintains a project, how much of its code is written by AI, and how closely a human checks the AI's work. That's it, that's the whole idea. Repo maintainers assign a rating and save it, along with a quick blurb about how AI was used in the project, in an ACR.md file in the root of their repo. The rating doesn't judge, it simply answers some questions at a glance. If this sounds at all interesting to you, I'd love to hear your feedback! Example: DomainMOD, rated "B1b" (a project I wrote and have maintained since 2010) B = "Experienced" - Works professionally in this stack. Could write the whole project unaided. 1 = "A little" - 1–25% of the code. AI wrote pieces such as tests, boilerplate, or single functions. b = "Reviewed" - Every AI change read by a person before merge. Tests where practical. Full Disclosure: The ACR website itself is rated B4b. AI wrote nearly all the code and text, directed by me, and I reviewed its work. Comments URL: [https://news.ycombinator.com/item?id=50454286](https://news.ycombinator.com/item?id=50454286) Points: 1 # Comments: 1