• neekz0r@lemmy.ml
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    11 天前

    … Next n+6+24 months are going to be an interesting time for downtime detectors

  • lurch (he/him)@sh.itjust.works
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    11 天前

    AI is particularly bad changing existing code. Good luck, lol.

    It works best creating new, small things from scratch, like boilerplate or prototypes. At least that’s what we found out at work.

    • elephantium@lemmy.world
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      10 天前

      Strange, I’ve found the opposite. My current gig has a huge existing legacy codebase with a lot of tests, though. Well, a lot of tests for some segments anyway.

      The AI tooling does well with suggesting new methods that look a lot like existing methods. For refactoring work and limited-scope changes (e.g. integrating with a well-documented external API), it’s pretty good.

      It still gets trapped in hamster wheels once in a while, but hey, that’s why I keep an eye out and don’t blindly merge everything it suggests.

    • nandeEbisu@lemmy.world
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      10 天前

      Honestly, I’ve found it does well in existing codebases that have well established idioms and design patters that can be reproduced, or component written to be extensible so the agent has pre-existing rails to extend functionality, instead of trying to design something that has well established idioms and needs to be extensible.

  • jj4211@lemmy.world
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    10 天前

    I just don’t see the angle where they thought this would be a confidence inspiring strategy no matter how they sliced it.

    If you are inclined to think this is a dumb reckless move because AI doesn’t make a 27 year old stranger to the codebase an expert at rewriting the codebase, this is super stupid.

    If you are an AI fan who believes a random 27 year old can just vibe up Cisco’s software, then why would you bother paying a premium for Cisco when obviously any random person can do just as well now?

    It at least shows that Cisco believes a random 27 year old is just as good at their codebase, so either way you take that…