Over time I've got used to it, but my colleagues tend to use me as a personal StackOverflow because I actually read the manuals for things we use/depend on. I regularly "amaze" them by answering obscure questions and when they ask how did you know that, the answer is always some variant on "by reading".
Now I just accept that most programmers hate reading and will prefer either just splashing around until they stumble on the answer by accident, or asking other people. It's frustrating but just how it is. I've had a senior programmer at a well known tech company tell me that now LLMs exist they+their team suddenly feel like writing documentation is worth it, because something will actually read it, and he was serious! They work on the assumption that if they write docs, zero programmers will read them! I don't think that's literally true but it might be directionally true.
I don't quite understand the assumption that LLMs are learning to code by reading StackOverflow anyway. Sure, it sounds plausible but we don't know how ChatGPT was trained. But it seems irrelevant now. GPT-4 has clearly learned programming to the level that it could generate self-training material just by reading the docs, writing experimental programs to try things out, and then summarizing its own findings which can be fed back into the next training round. At the moment it's not wired up to programming environments closely enough to do this, but it could be.
When working with new software components, usually we're able to either work into our sprints an experimentation/PoC task, that'd include reading the doc or we just include into the estimation of the development task some time to read
Usable documentation has to exists in the first place, though.
nowhere, they are cannibalizing their own source of data. They own Github so that's helpful, but still mostly just code, not a whole lot of discussion.
If ChatGPT kills Stack Overflow and Reddit/Twitter block API access, where will it gets its answers from?