(no title)
OJFord | 2 days ago
Bit surprised that would have happened in significant volume (I'd have thought the LLM using non-sponsors would have far more overlap with the prior non-sponsors) but maybe.
OJFord | 2 days ago
Bit surprised that would have happened in significant volume (I'd have thought the LLM using non-sponsors would have far more overlap with the prior non-sponsors) but maybe.
loktarogar|2 days ago
dan15|2 days ago
inandoutflux|2 days ago
AI spewing answers out of the magic box (or even just one-shotting with zero oversight) means developers do not go to the actual website for documentation, do not share as many issues as much and do not talk about the experience of working with tailwind as much - AI performance discourse takes that attention. This means less in-flow, which means the line of stability will be lower even in a vacuum where people have no particular reason to increase the out-flow.
And yet, this isn't a vacuum. I am not arguing it's just that alone. I absolutely believe that people simply stopped valuing code altogether. Why pay for ready solutions when the beepity bopity boop handles custom implementation for you without you even having to ask too much? It's what the OP article here is saying, AI's love custom solutions.
jaunt7632|2 days ago
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