I have a few parallel AI-authored side projects on the go that have quite different shapes, and I feel quite different things about each

1. A survival horde game (like Vampire Survivors and Brotato). At the moment it's very primitive, very derivative (no new ideas) and not much fun. I have no sense of pride over it, but it is much further along than it would be if i'd been writing it from scratch. I expect once I invest in the fun side (gameplay innovations, graphics) i'll feel a greater sense of attachment, and I plan to do all the art assets myself.

2. A MacOS web app for managing dev env processes, works but is ugly. I don't have confidence in AI making a remotely presentable UI, so I'll be doing that part myself.

3. A useful little utility library. The kind of thing that pre-LLM would've been too far out of my expertise to be motivated to try making. I'm steering the design of it quite heavily, but haven't written any code. It seems like it's already capable of doing very useful things, and I oddly feel quite proud of it. But I have a weird sense of unease in that I _think_ it's good, but I don't _know_ it's good.

I think the main thing I'm learning is to make sure there's always something of yourself in whatever you produce with the help of AI, especially if you want to feel a sense of accomplishment. And make sure you have a good testing philosophy if you're planning to be hands-off with the code itself.