Yeah, I definitely do something similar with my personal projects.

I come from more of a hardware & environmental engineering background and we were always taught that projects were iteratively built via Design, Build, Test, Learn cycles.

I drive the Design and basic skeleton of the build (pseudocode or boilerplate), then pass off the rest of the Build and Test to the agent. I pick up after the test and read the agent commits/notes, then write up next steps. Repeat DBTL. Maybe spin a few features out at a time in parallel depending on how much time I want to devote to reviewing new project features later in the day.

I think planning is a big part. ironically, this wasn't a part of my typical routine as an engineer before AI came around. Sure I thought through the work or ticket I was assigned but not always at as much of a birds eye view.

Nowadays with AI I try to start most tasks with a plan, review each phase/step, research parts I'm more unsure of, and try to refine it. Ironically it's more of a dev cycle like process anyway IMO.