• codeinabox@programming.devOP
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    3 days ago

    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.

    • SorteKanin@feddit.dk
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      2 days ago

      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?

        • SorteKanin@feddit.dk
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          2 days ago

          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.

        • shiroininja@programming.dev
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          2 days 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.