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Nobody knows how to build with AI yet

(worksonmymachine.substack.com)
526 points Stwerner | 4 comments | 19 Jul 25 15:45 UTC | HN request time: 0.742s | source
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karel-3d ◴[19 Jul 25 16:32 UTC] No.44616917[source]▶
Reading articles like this feels like being in a different reality.

I don't work like this, I don't want to work like this and maybe most importantly I don't want to work with somebody who works like this.

Also I am scared that any library that I am using through the myriad of dependencies is written like this.

On the other hand... if I look at this as some alternate universe where I don't need to directly or indirectly touch any of this... I am happy that it works for these people? I guess? Just keep it away from me

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lordnacho ◴[19 Jul 25 16:42 UTC] No.44617013[source]▶
But you also can't not swim with the tide. If you drove a horse-buggy 100 years ago, it was probably worth your while to keep your eye on whether motor-cars went anywhere.

I was super skeptical about a year ago. Copilot was making nice predictions, that was it. This agent stuff is truly impressive.

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1. verisimilidude ◴[19 Jul 25 17:12 UTC] No.44617303[source]▶
AI's superpower is doing mediocre work at high speed. That's okay. Great, even. There's lots of mediocre work to do. And mediocre still clears below average.

But! There's still room for expertise. And this is where I disagree about swimming with the tide. There will be those who are uninterested in using the AI. They will struggle. They will hone their craft. They will have muscle memory for the tasks everyone else forgot how to do. And they will be able to perform work that the AI users cannot.

The future needs both types.

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2. jon-wood ◴[19 Jul 25 17:29 UTC] No.44617446[source]▶
My ongoing concern is that most of us probably got to being able to do good work via several years of doing mediocre work. We put in the hours and along the way learned what good looks like, and various patterns that allow us to see the path to solving a given problem.

What does the next generation do when we’ve automated away that work? How do they learn to recognise what good looks like, and when their LLM has got stuck on a dead end and is just spewing out nonsense?

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3. commakozzi ◴[19 Jul 25 20:29 UTC] No.44619081[source]▶
they will be judging the merit of work in much broader context.
4. hooverd ◴[20 Jul 25 05:07 UTC] No.44622149[source]▶
they don't!