It's always POC apps in js or python, or very small libraries in other popular languages with good structure from the start. There are ways to make them somewhat better in other cases (automated testing/validation/linting being a big one), but for the type of thing that 95% of developers are doing day to day (working on a big, sprawling code base where none of those attributes apply), it's not close to being there.

The tools really do shine where they're good though. They're amazing. But the moment you try to do the more "serious" work with them, it falls apart rapidly.

I say this as someone that uses the tools every day. The only explanation that makes sense to me is that the "you don't get it, they're amazing at everything" people just aren't working on anything even remotely complicated. Or it's confirmation bias that they're only remembering the good results - as we saw with last week's study on the impact of these tools on open source development (perceived productivity was up, real productivity was down). Until we start seeing examples to the contrary, IMO it's not worth thinking that much about. Use them at what they're good at, don't use them for other tasks.

LLMs don't have to be "all or nothing". They absolutely are not good at everything, but that doesn't mean they aren't good at anything.