The thing about AI is when it started out(coding models) they were kinda bad. But I feel any tool that provides value to time or effort is a useful tool. I use AI now mostly to add some methods, ask questions about the code base and brainstorm ideas against that code base. There are levels on how you use this tool(AI).
1. Complete trust(if its easy task and you can verify quickly). 2. medium trust( you ask questions back to AI to critically understand why it did what it did). 3. zero trust.(this is very important for learning fast, not coding. You need to stress AI to give me lots of information, right or wrong, cross-check it manually and soak it in your brain carefully. Here you will know whether that AI is good or bad.)
Conclusion: We are human beings. Any tool must be used with caution, especially AI that is capable of playing tricks with your precious brain. Build razor sharp instincts and trust them ONLY.
I mean I still use SO, medium articles, LLMs, and tons of sources. But I find myself just turning to the docs as my first choice now. At worst I get better questions to pay attention to with the other sources.
I think there's this terrible belief that's developed in CS and the LLM crowd targets. The idea that everything is simple. There's truth to this, but there's a lot of complexity to simplicity. The defining characteristic between an expert and a novice is their knowledge of nuance. The expert knows what nuances matter and what don't. Sometimes a small issue compounds and turns into a large one, sometimes it disappears. The junior can't tell the difference, but the expert can. Unfortunately, this can sound like bikeshedding and quibbling over nothings (sometimes it is). But only experts can tell the difference ¯\_(ツ)_/¯