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The problem is not AI code, but not knowing about system architecture or intent

388 points · 240 comments · zazuke

  1. bengold14 · · focus · HN ↗
    I see this everyday. The problem is code is the wrong abstraction for the work we do. LLMs have solved coding, but they haven't solved systems, collaboration or system maintenance.

    Edit: Since I seem to have touched a nerve - I&#x27;ve been working on a project to solve this: <a href="https:&#x2F;&#x2F;www.archme.io" rel="nofollow">https:&#x2F;&#x2F;www.archme.io if you want to know my thoughts on the right abstraction

    1. Terr_ · · focus · HN ↗
      I find it helps to imagine what is&#x2F;isn&#x27;t solved (however, we choose to label it) by an indefinite number of cheap junior-developers.

      Except a little worse, since they were raised alone in a library, act mostly the same, and have harsh limits on personal growth.

      1. bengold14 · · focus · HN ↗
        tbh, I don&#x27;t think of LLMs as junior-devs. Maybe 6 months ago, but now they are v. senior code-monkeys. They are masters of their craft, but their craft is narrow and lacks big picture, collaboration, org goals, etc.
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