https://bsky.app/profile/peaklabs.dev/post/3metye7c5dk2p - Antislop Code Action
this post was submitted on 18 Feb 2026
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Maybe we need a way to generate checksums during version creation (like file version history) and during test runs of code that would be submitted along side the code as a sort of proof of work that AI couldn't easily recreate. It would make code creation harder for actual developers as well but it may reduce people trying to quickly contribute code the LLMs shit out.
A lightweight plugin that runs in your IDE maybe. So anytime you are writing code and testing it, the plugin is modifying a validation file that shows what you were doing and the results of your tests and debugging. Could then write an algorithm that gives a confidence score to the validation file and either triggers manual review or submits obviously bespoke code.
This could, in theory, also be used by universities to validate submitted papers to weed out AI essays.
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Why no one critisize ShitHub?
I've been writting a lot of code with ai - for every half hour the ai needs to write the code I need a full week to revise it into good code. If you don't do that hard work the ai is going to overwhelm the reviewers with garbage
With proper prompting you can let it do a lot of annoying stuff like refactors reasonably well. With a very strict linter you can avoid the most stupid mistakes and shortcuts. If I work on a more complex PR it can take me a couple days to plan it correctly and the actual implementation of the correct plan will take no time at all.
I think for small bug fixes on a maintainable codebase it works, and it works for writing plans and then implementing them. But I honestly don’t know if it’s any faster than just writing the code myself, it‘s just different.
reasonably well
hmm not in my experience, if you don't care about code-quality you can quickly prototype slop, and see if it generally works, but maintainable code? I always fall back to manual coding, and often my code is like 30% of the length of what AI generates, more readable, efficient etc.
If you constrain it a lot, it might work reasonably, but then I often think, that instead of writing a multi-paragraph prompt, just writing the code might've been more effective (long-term that is).
plan it correctly and the actual implementation of the correct plan will take no time at all.
That's why I don't think AI really helps that much, because you still have to think and understand (at least if you value your product/code), and that's what takes the most time, not typing etc.
it‘s just different.
Yeah it makes you dumber, because you're tempted to not think into the problem, and reviewing code is less effective in understanding what is going on within code (IME, although I think especially nowadays it's a valuable skill to be able to review quickly and effectively).
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