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rectangyesterday at 4:59 PM3 repliesview on HN

That's not my experience — I'm significantly faster while guiding an LLM using this methodology.

The gains are especially notable when working in unfamiliar domains. I can glance over code and know "if this compiles and the tests succeed, it will work", even if I didn't have the knowledge to write it myself.


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rsynnottyesterday at 10:03 PM

> I can glance over code and know "if this compiles and the tests succeed, it will work", even if I didn't have the knowledge to write it myself.

... Errr... Yeah, that's not a great approach, unless you are defining 'work' extremely vaguely.

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johnnyanmacyesterday at 6:48 PM

> I'm significantly faster while guiding an LLM using this methodology.

https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...

>When developers are allowed to use AI tools, they take 19% longer to complete issues—a significant slowdown that goes against developer beliefs and expert forecasts. This gap between perception and reality is striking: developers expected AI to speed them up by 24%, and even after experiencing the slowdown, they still believed AI had sped them up by 20%.

If we're being honest with ourselves, it's not making devs work faster. It at best frees their time up so they feel more productive.

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marginalia_nuyesterday at 5:02 PM

That's where the Gell-Mann amnesia will get you though. As much it trips up on the domains you're familiar with, it also trips up in unfamiliar domains. You just don't see it.

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