I can only explain it by people not having used Agentic tools and or only having tried it 9 months ago for a day before giving up or having such strict coding style preferences they burn time adjusting generated code to their preferences and blaming the AI even though they’re non-functional changes and they didn’t bother to encode them into rules.

The productivity gains are blatantly obvious at this point. Even in large distributed code bases. From jr to senior engineer.

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MattGaiser 17 hours ago | parent [-]

I can see someone who is very particular about their way being the right way having issues with it. I’m very much the kind of person who believes that if I can’t write a failing test, I don’t have a very serious case. A lot of devs aren’t like that.

	▲	layer8 12 hours ago \| parent [-]
		Sometimes you’re unable to write a failing test because the code is such that you can’t reliably reason about it, and hence have a hard time finding the cases where it will do the wrong thing. Being able to reason about code in that way is as important as for the code to be testable.