"AI" coding assistants slow developers down. But they think they've become faster. Dunning-Kruger at work :) (Clarification: Dunning-Kruger has been debunked, but the term is generic enough to be used in this case: describing how we often overestimate our capacities and stay ignorant, even when objective results show we guessed wrong)

https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/

@jwildeboer nice find; strengthens my feeling that we've replaced stackoverflow with LLMs :-)
@Jan Wildeboer 😷:krulorange: Thanks! Looks interesting. Added to my read later list.
Jan Wildeboer 😷:krulorange: (@[email protected])

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@jwildeboer Have you ever tried programming while slightly drunk? A friend just backed my experience that it can feel a lot faster and more productive (and more fun as a positive side effect).
I feel that the observed metrics might be similar those in the graphic here, makes me wonder if alcohol could be a better alternative to llms regarding energy use and environmental impact 😉
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I wonder if the self assessment discrepancy isn’t tied to the sensation of mental exhaustion or lack thereof.

In general if the mental or physical effort is less then it doesn’t feel like it lasts so long even if that’s technically more minutes spent working.

That would be good news because all the investors thinking they were going to milk devs even more would actually just relax them a bit more 😅

@jwildeboer

Basically same as some(jus some!) of my mentoring experiences: instead of both way teaching and growing it turned into a time sink of epic social distortion.

Maybe LLM can be worked with more like with the more reflective minds in our team. That would promise gain. And I learned a lot from LLM reviewing tbh

But then again, yeah: fool with a tool is still a fool - I do expect lots of tec debt piled up until things settle