I'm a slow adopter of new technologies like AI LLMs. My reasoning is that if it turns out to actually be a good product, then it will eventually prove itself, and the early adopters can be the "beta testers" so to speak. But if it turns out to be a bad product, then I won't have wasted my time on something that isn't worthwhile.
Maybe a day comes when I start using these tools, but they clearly just aren't all that useful in their current form. In all honesty, I'm pretty sure that they will never be useful enough for me to consider them worth learning, but definitely not so today.
Not surprising at all. When you write code, you're actually thinking about it. And that's valuable context when you're debugging. When you just blindly follow snippets you got from some random other place, you're not thinking about it and you don't have that context.
So it's easy to see how this could lead to a net productivity loss. Spend more time writing it yourself and less time debugging, or let something else write it for you quickly, but spend a lot of time debugging. And on top of it all, no consideration of edge cases and valuable design requirement context can also get lost too.