[rfitz]

I can definitely relate to wanting to feel accomplished after a coding session and how AI can sort of strip you of that feeling at times. For me personally, I started to find the joy in the AI + coding relationship once I realized I just had to reframe my thinking a bit.

It's less about code generation for me and more about opportunities to learn new things. It could be as simple as having it optimize my code in a way I hadn't even thought of or it could be me wanting to learn a new complex architectural pattern I haven't had the time to deep dive but have wanted to. Now I can spin something up and have a base understanding of it in minutes. That's exciting to me more than anything else. In a way, it takes me back to way earlier in my career when every day felt like I was learning something new and cool on the job from more seniors devs. I think as you get more senior and experienced, those "cool" learning moments start to happen a little less, so having AI be able to reignite that is exciting in a lot of ways.

[datameta]

I still experience what you outline for bootstrapping understanding, or bringing the knowledge horizon closer, so to speak. Part of the learning though is through the vigilance of parsing and correcting.

When I had a small passive circuit in my head that I wanted to one-shot solder on a protoboard and didn't want to get bogged down in KiCAD, talking through it with an AI and repeatedly correcting its understanding really solidified my own. It's like mentoring while being tutored.

So I still see value in use for smaller novel projects, but using LLMs to hit a deadline for production is not something I want to do any longer, for the time being.