Learnings from building software with AI—what's changing, what's not, and what it means for how teams work.
I've been building software with AI coding agents for a while now, and the experience has shifted in ways I didn't fully expect. These are my observations—not conclusions, but patterns worth naming. I'll keep adding to this as I go.
What happens when the feedback loop between idea and working code collapses to minutes? Something fundamental shifts—not just speed, but the nature of the work itself. These are four patterns I've noticed so far.
The four themes: