I can't really think of a polite way to phrase this, but I'm not surprised throwaway mobile apps do benefit, while relatively mature python packages do not. That matches my estimation of how much programming skill you can reasonable extract from the current LLMs.

Really the one thing that conclusively has changed is that the 'ask it on stackoverflow' has become 'ask it an LLM'. Around 95% of the stackoverflow questions can be answered by an LLM with access to the documentation, not sure what will happen to the other 5%. I don't think stackoverflow will survive a 20-fold reduction in size, if only because their stance on not allowing repeat questions means that exponential growth was the main thing preventing them from becoming stale.

> I'm not surprised throwaway mobile apps do benefit, while relatively mature python packages do not.

Right.

I don't think you even need cynicism or whatever you felt you were having impolite thoughts about:

I'd expect the top mature libraries to be the most resistant to AI tool use for various reasons. They already have established processes, they don't accept drive-by PR spam, the developers working on them might be the least likely to be early adopters, and -- perhaps most importantly -- the todo list of those projects might need the most human comms, like directional planning rather than the sort of yolo feature impl you can do in a one-man greenfield.

All to further bury signals you might find elsewhere in broader ecosystems.