The question is whether AI / LLMs gets better.

I'm not an ML expert, but regarding code _quality_ I see no progress at all in the last couple of years. LLMs still write code by using probabilistic calculations vs. applying rigorous thinking and logic.

This is only good while no one has to look under the hood. When trying to understand and fix code written by LLMs you'll realize what a mess they produce. It's a codebase without any systematic thinking inside. Everything is ad-hoc, wired together to pass the tests, and to conform to some templates. No deliberate practice, no intelligence at all in the code.

This can't be a long term strategy for an entire industry.