Same with debuggers. I run into people with 10 years of experience who are still trying to printf debug complex problems that would be easy with 5 minutes in a debugger.

I think we're seeing something similar with AI: There are devs who spend a couple days trying to get AI to magically write all of their code for them and then swear it off forever, thinking they're the only people who see the reality of AI and everyone else is wrong.

At the same time - there are devs that spend two days setting up a debugger for a simple problem that would be easy with five minutes and printf. AI is a tool and it's a useful tool - it's not always the best tool for the job and the real skill is in knowing when you use it and when not to.

It's a sort of context of life that the easy problems are solved - those where an extreme answer is always correct are things we no longer even consider problems... most of the options that remain have their advantages and disadvantages so the true answer is somewhere in the middle.