AIs have made me realize that I don't actually care about writing code, even though it's all I've done for my entire career.
I care about creating stuff. How it gets from the idea in my brain to running on the computer, is immaterial to me.
I really like that I go from idea to reality in half the time.
Same.
I've been exploring some computer vision recognition stuff. Being able to reason through my ideas with an LLM, and make visualizations like t-SNE to show how far apart a coke can and a bag of cheetos are in feature-space has been mind blowing. ("How much of a difference does tint make for recognition? Implement a slider that can show that can regenerate the 512-D features array and replot the chart")
It's helping me get an intuitive understanding 10x faster than I could reading a textbook.
Same here, and I also really enjoy the high level design/structure part of it.
THAT part doesn't mesh too well with AI, since it's still really bad at autonomous wholistic level planning. I'm still learning how to prompt in a way that results in a structure that is close to what I want/reasonable. I suspect going a more visual block diagram route, to generate some intermediate .md or whatever, might have promise, especially for defining clear bounds/separation of concerns.
Related, AI seems to be the wrong tool for refactoring code (I recently spent $50 trying to move four files). So, if whatever structure isn't reasonable, I'm left with manually moving things around, which is definitely un-fun.