Every now and then I give LLMs a try, because I think it's important to stay up to date with technology. Sometimes there have been specs that I find particularly hard to parse in domains I am a bit unfamiliar in where I thought the AI could help. At first the solutions seemed correct but then on further inspection, no they were far more convoluted than needed, even if they worked.
I can tell when my teammate’s code contains LLM-induced/written code, because it “functionally works” but does so in a way that is so overcomplicated and unhinged that a human isn’t likely to have gone out of their way to design something so wildly and specifically weird.
That's why I don't bother with LLMs even for scripts. Scripts are short for a reason, you only have so much time to dedicate on it. And often you pillage from one script to use in another, because every line is doing something useful. But almost everything I generated with LLM are both long and full of abstractions.