This is more of an early career engineer thing than a ChatGPT thing. 'I don't know, I found it on stackoverflow' could have easily been the answer for the last ten years.
That's where you'd like your solution engine to be able to tell you how to get the solution it is giving you. Something good answers on Stack Overflow will do: links to the relevant documentation, steps you can go through to get a better diagnostic of your problem etc.
Get the fire lit with the explanation of where to get wood and how to light it in your condition so next time you don't need to consult you solution engine.
No, a real engineer goes on SO to understand. A junior goes on SO to copy and paste. If your answer is "I don't know I just copied" you're not doing any engineering and it's awful to pretend you are. Our job is literally about asking "why" and "how" until we don't need to anymore because our pattern matching skills allow us to generalize.
At this point in my career I rarely ever go to SO, and when I do it's because of some obscure thing that 7 other people came across and decided to post a question about. Or to look up "how to do the most basic shit in language I am not familiar with", but that role was taken over by LLMs.
There's nothing inherently wrong with getting help from either and LLM, or StackOverflow, it's the "I don't know' part that bothers me.
One the funnier reactions to "I got it from StackOverflow" is the followup question "From the question or the answers?"
If you just adds code, without understanding how it works, regardless of where it came from and potential licensing issues, then I question your view on programming. If I have a paint come in and paint my house and get paint all over the place, floors, windows, electrical socket but still get the walls the color I want, then I wouldn't consider that person a professional painter.
The LLM also tends to do a good bit of the integrations of the code in your codebase. With SO you need to do it yourself, so you at least need to understand the outer boundary of the code. And on StackOverflow it often has undergone some form of peer review. The LLM just outputs without any bias or footnote.
