{"slug": "show-hn-ai-code-rating-a-3-character-disclosure-of-how-ai-was-used-in-a-repo", "title": "Show HN: AI Code Rating – a 3-character disclosure of how AI was used in a repo", "summary": "A Show HN poster introduced AI Code Rating (ACR), a proposed spec in which repository maintainers record a three-character rating plus a short blurb in an ACR.md file at the repo root to disclose how much code AI wrote and how closely a human reviewed it. The rating combines a maintainer-experience letter (B = \"Experienced\"), an AI-authored percentage band (1 = 1–25% of the code), and a review level (b = \"Reviewed\"), with the example DomainMOD rated \"B1b\"; the poster said the ACR website itself is rated B4b because AI wrote nearly all of its code and text under human direction and review. The post drew 1 point and 1 comment on Hacker News.", "body_md": "Hello HN!\n\nHave 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!\n\nAI 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.\n\nThat'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.\n\nThe rating doesn't judge, it simply answers some questions at a glance.\n\nIf this sounds at all interesting to you, I'd love to hear your feedback!\n\nExample: DomainMOD, rated \"B1b\" (a project I wrote and have maintained since 2010)\n\nB = \"Experienced\" - Works professionally in this stack. Could write the whole project unaided.\n\n1 = \"A little\" - 1–25% of the code. AI wrote pieces such as tests, boilerplate, or single functions.\n\nb = \"Reviewed\" - Every AI change read by a person before merge. Tests where practical.\n\nFull Disclosure: The ACR website itself is rated B4b. AI wrote nearly all the code and text, directed by me, and I reviewed its work.\n\nComments URL: [https://news.ycombinator.com/item?id=50454286](https://news.ycombinator.com/item?id=50454286)\n\nPoints: 1\n\n# Comments: 1", "url": "https://wpnews.pro/news/show-hn-ai-code-rating-a-3-character-disclosure-of-how-ai-was-used-in-a-repo", "canonical_source": "https://aicoderating.com/", "published_at": "2026-11-11 15:02:04+00:00", "updated_at": "2026-11-11 15:21:34.603592+00:00", "lang": "en", "topics": ["ai-tools", "developer-tools", "ai-ethics"], "entities": ["AI Code Rating", "DomainMOD", "Hacker News"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/show-hn-ai-code-rating-a-3-character-disclosure-of-how-ai-was-used-in-a-repo", "markdown": "https://wpnews.pro/news/show-hn-ai-code-rating-a-3-character-disclosure-of-how-ai-was-used-in-a-repo.md", "text": "https://wpnews.pro/news/show-hn-ai-code-rating-a-3-character-disclosure-of-how-ai-was-used-in-a-repo.txt", "jsonld": "https://wpnews.pro/news/show-hn-ai-code-rating-a-3-character-disclosure-of-how-ai-was-used-in-a-repo.jsonld"}}