I usually stop at this point because it's a complete waste of my fucking time. I already know where the relevant sources of information are, and the current AI models have proven themselves to be incapable of distinguishing between firmware versions or subtle differences in model numbers. I try things again every once in a while to see if anything has improved, and so far, no dice.

Certainly less time than it would take someone to write it themselves.

I mean, sure - for you and I, who aren't qualified to write that specific code, maybe we can prompt the electronic idiot to get there. Of course, neither we nor the electroic idiot knows where there is, and at best we will copy in exisitng better code that we should have imported from a library. So we gave up automated updates to avoid reading the manual pages.

In contrast, for domains I'm an expert in, babysitting the electric idiot is always a complete waste of time. I can just call the correct library, the correct way, on the first attempt.

Today's AI really highlights exisitng technical debt. If there's already a mountain of it, I can see how the learning model may help wrangle it, and how it may be hard to see the added costs.

If it can't output ~50 lines of code that is reasonably common from textbooks with one minor modification, I'm not clear what the benefit is

It's certainly not faster

I already stated I kept prompting it for over 30 minutes and it still hadn't fully completed the problem