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If AI coding is lowering your code quality, you're not managing quality right

129 points · 169 comments · bucket2015

  1. Havoc · · focus · HN ↗
    I'd say step 0 is know your audience.

    I'm happily vibing my own toy projects, but would prefer if the tech in hospitals is not vibe coded.

    And I don't think it's plausible that the gap between those two is "well you just need to use it right".

    1. Daishiman · · focus · HN ↗
      > And I don't think it's plausible that the gap between those two is "well you just need to use it right".

      But this has always been the gap between effective software engineering and garbage. When humans write software we put a large amount of effort in having best practices, hiring seniors with a track record, and enforcing process that empirically shows good results in reliability.

      This is the same in AI. You need to have thorough code reviews by humans and agents, do a lot of manual QA, understand the tradeoffs when codebases grow, keep good documentation, keep bad comments out or anything that wastes the agents' context windows, etc.

      The reality is that most people who produce mediocre code are mediocre users of AI, except that now they're empowered to produce crap 10 times faster and are too ignorant to distinguish between productivity and accelerated crap production.

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