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1. swiftc+znd[view] [source] 2026-01-06 09:36:31
>>gmays+(OP)
Every time I read one of these, I'm increasingly convinced that the whole AI crowd are just high as kites 24/7. Must be some good drugs in the valley
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2. reedla+D7e[view] [source] 2026-01-06 15:09:49
>>swiftc+znd
Gergely Orosz (The Pragmatic Engineer) interviewed Yegge [1] and Kent Beck [2], both experienced engineers before vibe coding, and they express similar sentiments about how LLMs reinvigorated their enjoyment of programming. This introduction to Gas Town is very clear on its intended audience with plenty of warnings against overly eager adoption. I agree that using tools like this haphazardly could lead to disaster, but I would not dismiss the possibility that they could be used productively.

1. https://www.youtube.com/watch?v=TZE33qMYwsc

2. https://www.youtube.com/watch?v=aSXaxOdVtAQ

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3. ludici+Irf[view] [source] 2026-01-06 20:36:33
>>reedla+D7e
Beck was in Melbourne a few weeks ago, and his take on LLM usage was so far divorced from what Yegge is doing that their views on what LLMs are capable of in early 2026 are irreconcilable.
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4. kaycey+gDl[view] [source] 2026-01-08 15:24:25
>>ludici+Irf
What does Beck think?
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5. ludici+xvq[view] [source] 2026-01-09 23:26:20
>>kaycey+gDl
He was the keynote at YOW! so I can't capture all the nuance and hope I'm not doing him a disservice with my interpretation, but the tl;dr is he:

"LLMs drastically decrease the cost of experimenting during the very earliest phases of a project, like when you're trying to figure out if the thing is even worth building or a specific approach might yield improvements, but loses efficacy once you're past those stages. You can keep using LLMs sustainably with a very tight loop of telling it to do the thing the cleaning up the results immediately, via human judgement."

I.e, I don't think he can relate at all to the experience of letting them run wild and getting a good result.

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