You can try it out with npx aislop scan.
It’s all local and no code is transferred. Thank you.
Show HN: AISlop, a CLI for catching AI generated code smells
github.com
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You can try it out with npx aislop scan.
It’s all local and no code is transferred. Thank you.
Show HN: AISlop, a CLI for catching AI generated code smells
github.com
I'd love for it to have flags for Pi and Crush too :)
Concentrate on code quality, and whether it does what it needs to do. Not whether it was written by AI or not.
I don't think this approach is wise. Concentrate on code quality, and whether it does what it needs to do. Not whether it was written by AI or not.
I don't think this approach is wise. Concentrate on code quality, and whether it does what it needs to do. Not whether it was written by AI or not.
I don't think this approach is wise. Concentrate on code quality, and whether it does what it needs to do. Not whether it was written by AI or not.
Thanks, I actually concentrated on improving code quality, the patterns I flagged are poor design choices that humans wouldn’t write. Examples are duplicated functions doing same thing, dead or redundant codes etc. These builds up and degrade the codebase over time.
They certainly do in my experience. Maybe you've been lucky and haven't worked with really messy programmers.
The intent is good, but frankly, credibility is lost by using "slop" words imo, OP you might seriously want to re-evaluate who is the target market, probably users that leverage high automation 24/7, startups and so-on, they don't want to incorporate products that talks about the modern way (and somehow only way to compete) of development as "slop" imo because soon enough, it's not true anymore (it's already not true…