Amazon is tightening software development controls after several internal code errors caused major outages that disrupted millions of customer orders. The company launched a 90-day “code safety reset” requiring stricter reviews and approvals before deploying changes to critical systems. The move also reflects concerns about risks from faster development using AI coding tools.

#Amazon #TechNews #AI #SoftwareEngineering #CloudComputing #DevOps #CyberReliability

  • 𝕸𝖔𝖘𝖘@infosec.pub
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    24 days ago

    What?? Using fancy autocorrects “trained” on reddit and stackoverflow yields bad code??? If only anyone could have predicted such a casualty of tech!! … Morons.

    Edit. Autocorrect. And, no, the irony is not lost on me lol

    • shittydwarf@sh.itjust.works
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      24 days ago

      They are just so thirsty to fire people that it doesn’t matter how many catastrophic fuckups they have, they keep going for it

  • burghler@sh.itjust.works
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    24 days ago

    The hashtags on my Lemmy app are rendered with markdown so it’s just a big ass fat header larger than the actual content. The audacity that this app can be paid for.

    Sync, btw

      • ulterno@programming.dev
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        24 days ago

        Yeah, Markdown requires a space right after the #, but quite a few parsers choose to be forgiving of this rule, to make it easier for beginners.

        Although that ends up making them pick up the proper syntax much more slowly.
        And then also backfires in cases like what is shown here.

  • cloudy1999@sh.itjust.works
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    23 days ago

    I’ve seen a lot of comparisons likening LLM code generation to how compilers and high level languages eventually removed the need for programmers to understand machine code. Arguments about determinism and code quality aside, I still think it’s a false equivalence. Even if LLMs produced beautiful, ideal code, they fundamentally remove a programmer’s understanding of what exactly is present in the logic. Mishaps are inevitable.

    To prevent them, experienced programmers will do what it takes to produce human understanding and quality in spite of code generation. Yes, read the generated code. Yes, do code reviews with trusted peers. Yes, write/generate unit tests. There are even novel ideas about having LLMs interview us to make sure we understand the generated code’s purpose. That’s not the same as compilers, and it’s not the story AI companies have told us.

    Just like in the beginning: Programming languages are made for programmers, not for machines. It’s on us to understand.

  • Jumi
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    24 days ago

    Amazon is garbage and people who use it idiots

    • douglasg14b
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      24 days ago

      Ah yes, this definitely moves the needle in a direction we want or generates meaningful conversation

      • Jumi
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        23 days ago

        Oh buhu, cry some more.

        I won’t waste my time arguing with idiots. Especially not with randoms online

        • douglasg14b
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          23 days ago

          Trolls and petulant children go back to reddit please. No one wants to interact with that.

  • ragas@lemmy.ml
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    23 days ago

    Amazon has been one of the slowest and memory hungriest websites that I know of. And that is using it with an ad-blocker.

    • kunaltyagi@programming.dev
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      23 days ago

      It needs to personalize recommendations for each user. That enables it to recommend you another humidifier after you buy one /s

  • stupidcasey
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    24 days ago

    Just checked it out the site was significantly better back then.