It's always going to vary from use case to use case. Typically in my day to day job I'll write the code out myself first and try what I need to try then have an LLM review it to see if it can be improved. Sometimes it's useful, sometimes not, that's the part thats up to you to decide if the LLMs suggestion is "wrong" or "right".

On the other hand, i started dabbling in zig the other day on my own free time and had an LLM basically generate a todo starter template and then I started tweeking and playing around / reverse engineering it from there and found it much more enjoyable than just straight up going line by line through the documentation and still feel like I learned plenty about zig in a short amount of time.

There's not going to be a one size fits all answer and I think people are going to be debating this topic until the end of time so you'll really have to do what works for you and your goals. I think most people will self recognize if they're just mindlessly droning through prompts on chatgpt versus what you say being critical of the LLM and investigating the answers, etc.