Thread

1. bengold14 · 1790612793 · 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. verdverm · 1790613137 · focus · HN ↗

      When you say &quot;solved coding,&quot; what does this mean, what does it look like?

      I have strong disagreement because it sounds like, by analogy or proxy, we have also &quot;solved writing&quot;

      1. glimshe · 1790613323 · focus · HN ↗

         &quot;solved coding&quot; is type of thing you say if you want to sound smart.

         Saying that LLMs have &quot;reduced the cost of coding&quot; would be boring. And using your analogy, pencils, typewriters and computers have all reduced the cost of writing, but writers are still around.

         1. bengold14 · 1790616322 · focus · HN ↗

            I&#x27;m not trying to sound smart, I just think it encompasses what most people now acknowledge. LLMs write code faster and generally better than needed for most cases, and that seems to be becoming the prevalent opinion seeing as most folks have stopped doing PR reviews.

            The problem is, without PR reviews &amp; strict oversight, we&#x27;re losing knowledge, system design &amp; control of our codebases &amp; products. Which is why, IMO, the coding is solved but the other parts which used to be so tightly coupled to programming are cropping up as their own issues.

            1. bcrosby95 · 1790619162 · focus · HN ↗

               This ties into my experience: greenfield projects turn bad way faster than legacy ones, because AI has no established patterns to key off and it does increasingly dumb shit.

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