I think it all depends on the use case and a luck factor.

Sometimes I instruct copilot/claude to do a development (stretching it's capabilities), and it does amazingly well. Mind you that this is front-end development, so probably one of the more ideal use-cases. Bugfixing also goes well a lot of times.

But other times, it really struggles, and in the end I have to write it by hand. This is for more complex or less popular things (In my case React-Three-Fiber with skeleton animations).

So I think experiences can vastly differ, and in my environment very dependent on the case.

One thing is clear: This AI revolution (deep learning) won't replace developers any time soon. And when the next revolution will take place, is anyones guess. I learned neural networks at university around 2000, and it was old technology then.

I view LLM's as "applied information", but not real reasoning.