I genuinely have a lot of fun coding with AI, possibly more than I used to have coding normally. It’s true that I don’t spend hours on a single problem any more, but I instead spend a lot of time thinking and researching higher level issues like architecture and design. I find this work to be very rewarding because I very much enjoy learning new things. I don’t know if I would call it a flow state in the same way that coding was a flow state, but I definitely have a lot of fun learning. For instance, yesterday I was learning a lot about AWS infra, which I found very enjoyable. Before that I was learning about Fly Sprites, which it turns out are a little broken, but it was still interesting to learn about them. Pre-AI I think coding was slow enough that I would be able to learn a new thing like this once every couple of weeks, because then you'd have to go spend a ton of time on the implementation work. Now the implementation work has compressed and I get to learn new things more often, which is fun.

When I send one agent off to do work I usually begin thinking about some other unrelated problem I also want done, and then I try to spin up a parallel agent to do that as well. The thinking itself is where a lot of the deep work happens for me IMO. I probably spend like 80% of my time thinking, researching and reviewing plans. The other 20% is actually promoting.

I see a lot of people saying that agents trivialize work now - like you just push a button and an answer comes out. This is so far from my experience I actually don’t know how to bridge the gap. If you are not spending a lot of time researching you are likely going to be asking the agent to do things that don’t really make sense.