Depends on the language. Recently I got stuck on some issues with line-based processing of stream input with Haskell conduits and resorted to ChatGPT out of desperation. It wasn't of much use to me either, and then I ran out of free tier usage.

I suppose for emitting boilerplate or other ceremonial code LLMs serve as an augmented "copy/paste from stackoverflow" and increase your KLOC/time, but this is not really an interesting metric and production of source code was never the rate-limiting step in creating software.