To me the SO comparison makes sense.

5 years ago (and up to this day) when I stumbled into a non obvious problem, i resorted to a search engine to read more about the context of such problem. Often a very similar question had been posed on SO. There a problem/solution pair was presented very similar to mine. I did the translation between the proposed solution into mine. This all made perfect sense to me, and dozens of colleagues did the same.

Today you can do the same with an LLM, with the difference that often the LLM does the translation, in often very complex ways, from a set of similar problem/solution pairs into my particular problem/solution pair. It also can find out if some set applies or not, to my particular problem. I can ask it more questions to find out if/why the solution is good.

So that alone is a very big timesaver. But in fact what I described is just the tip of the iceberg in ways the LLM helps me.

So now my question is, do you use such SO problem/solution pairs for help, or do you simply find things out by a lot of thinking combined with reading and experimenting?

Your last sentence was me earlier this year ... seeing headlines about productivity, etc. and then trying out the tools and not finding that.

I have however found it to be very helpful, completely replacing usage of StackOverflow for instance. Instead of googling for your problem, ask AI and provide very specific information like version numbers of libraries, etc. and it usually comes back with something helpful.

All those headlines and nonsense, like most content online these days it looks like marketing content, not journalism. AI tools are helpful and in some ways feel like an evolution of search engine technology from ~25 years ago. Treat its output like a junior developer or intern. It does require some effort, like coaching a junior dev or intern. You can also ask it stupid questions, things like tech you haven't worked on in a while but you "should know". Its helpful to get back up to speed on things like that.