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[–] [S] 51 points 2 months ago (1 child)

This quote from the article really sums it up:

And to be clear, I don’t care whether you typed the code yourself. I care whether you understood it before you shipped it. I care whether you can explain why the bug happened, why this fix is the right fix, what the model might have missed, and what would make you roll it back.

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  • [–] 4 points 2 months ago (1 child)

    I have this feeling that a lot of people are against AI-generated code, even if you use it in this "responsible" way - but maybe I'm seeing an exaggerated view? I'm sort of wondering if I should start using AI models in my own work, including open source stuff, but I don't want it to be like I'm just having the AI do everything for me and I'm worried that others will disregard the code as slop. I've seen a lot of frustration with new open source projects that are largely AI-generated, but then again, we're seeing a lot of those because it's a useful tool that lowers the barrier for a lot of work. I'm conflicted, anyone have thoughts?

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  • [–] 2 points 2 months ago (2 children)

    even if you write code using an LLM and understand every line there is no way for anyone to detect whether you used AI or not

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  • [–] 4 points 2 months ago (2 children)

    I wouldn't say that. I think you can definitely tell if something is AI generated. If nothing else, you can see it via the git history, with the amount of code written in a short amount of time.

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  • [–] 1 point 2 months ago*

    Oh you can. But my autistic brain is really good at pattern detection. And LLM generated code just doesn’t feel human. I can’t explain it other than it has the same vibe and formatting as examples in a textbook.

    Also, lazy vibe coders. You can literally see the boundaries of chunks of code where they move from prompt to prompt. It’s like gluing newspaper articles together.

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