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
Points: 1
# Comments: 5
