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That split has always existed. LLMs can be used on either side of the divide.




We see a ton of "AI let me code a program X faster than ever before."

We see almost no "AI let me code a program X better than ever before."


See this episode of Oxide and Friends, where they discuss just that: https://oxide-and-friends.transistor.fm/episodes/engineering...

I can't argue that. The scale was already imbalanced as well, and vibe coding has lowered the bar even more, so the gap will continue to grow for now.

I'm just saying that LLMs aren't causing the divide. Accelerating yes, but I think simply equating AI usage to poor quality is wrong. Craftsmen now have a powerful tool as well, to analyze, nitpick, and refactor in ways that were previously difficult to justify.

It also seems premature for so many devs to jump to hardline "AI bad" stances. So far the tech is improving quite well. We may not be able to 1-shot much of quality yet, but it remains to be seen if that will hold.

Personally, I have hopes that AI will eventually push code quality much higher than it's ever been. I might be totally wrong of course, but to me it feels logical that computers would be very good at writing computer programs once the foundation is built.




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