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I use it where it saves time and don't use it where it doesn't, and have learned over time where those places tend to be. As AI gets better it'll get useful in more places.

Like any dev tool you have to play with it.



Are there places where it reliably saves time, though? Unlike most software tools, LLMs are stochastic, right?


Boilerplate, glue code, first pass explaining of third party code, first pass documentation, rubber duck debugging where the rubber duck talks back, research assistant or alternative to web search, etc.

It won’t do your thinking for you or write difficult stuff.


In my experience they reliably waste much more time than they save




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