it's so much easier to learn from examples than from documentation in my opinion, documentation is, what I use when I want to know additional parameters or downsides of a functionality. I'm no coder though.
But instead, I get average to below-average examples (surprise surprise, this is what happens when you train on a high noise-to-signal set of data), which are either subtly or wildly incorrect. I can't see this improving, with reddit and other forums trying to introduce AI bot written posts. Surely these companies are aware of how LLM output degenerates when fed its own input within a few (not even dozen) generations?!?