What do you mean not arriving? It's already here. AI models are awesome and I use them every day, as does every other software dev I know.

About half the people I discuss this with seem to think LLMs are great and don't see any problems with their output. The other half seem to get nothing but an endless stream of plausibly shaped rubbish.

It doesn't seem to depend on what model they use or how they prompt it. In code, there seems to be a loose correlation with testing styles; I've previously noticed that some people write tests to show that the code works as intended, and others try to write tests to show that it can't fail in ways that were unintended. But that correlation is weak.

I'm really puzzled by this.

Doing things the same, standard way each time is often good. Most of the code we write is obvious. We notice it when it's a weird quirk rather than just being the most straightforward way.

I wonder how long it will take to fix the quirks?