• catlover@sh.itjust.works
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    11 天前

    I’d still be highly sceptical about pull requests with code created by llms. Personally what I noticed is that the author of such pr doesn’t even read the code, and i have to go through all the slop

    • kcuf@lemmy.world
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      11 天前

      Ya I’m finding myself being the bad code generator at work as I’m scattered across so many things at the moment due to attrition and AI can do a lot of the boilerplate work, but it’s such a time and energy sink to fully review what it generates and I’ve found basic things I missed that others catch and shows the sloppiness. I usually take pride in my code, but I have no attachment to what’s generated and that’s exposing issues with trying to scale out using this

      • Repple (she/her)@lemmy.world
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        11 天前

        Same. There’s reduction in workforce, pressure to move faster, and no good way to do that without sloppiness. I have never been this down on the industry before; it was never great, but now it’s terrible.

        • Danitos@reddthat.com
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          10 天前

          Some thought I had the other day: LLM is supposed to make us more productive, say by 20%. Have you won a 20% pay rise since you adopted it? I haven’t

      • Feyd@programming.dev
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        11 天前

        Just fucking stop using it? Wtf? Tell you boss to pound sand! They’re going to blame you when it goes south anyway so you might as well stay honest.

    • jj4211@lemmy.world
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      11 天前

      I suspect the answer will be that such large requested as you frequently see with LLM codegen will just be rejected.

      Already I see changes broken up and suggested bit by bit, so I presume the same best practice applies.

    • terabyterex@lemmy.world
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      11 天前

      Did we all forget about stackoverflow?

      Peopleblindly copy/pasted from there all the time.

      • Railcar8095@lemmy.world
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        11 天前

        Couple of years back I got a PR at work that used a block of code that read a CSV, used some stream method to covert it to binary to then feed it to pandas to make a dataframe. I don’t remember the exact steps it did, but was just crazy when pd.read_csv existed.

        On a hunch I pasted the code in google and found an exact match on overflow for a very weird use case on very early pandas.

        I’m lucky and if people send obvious shit at work I can just cc their manager, but I fell for the volunteers at large FOSS projects, or even paid employees.