AI did not replace engineering judgment — it moved where I spend it. Here is how AI-assisted development reshaped my daily loop.
Boilerplate is now free
Scaffolding a repository, a slice, a set of RTK Query endpoints — these used to eat an afternoon. With Cursor and Copilot they take minutes, and the time I save goes straight into the parts that actually need a senior engineer: architecture, edge cases and failure modes.
Prompting is a skill, not a trick
Reliable results come from context, not clever phrasing. I feed the model the architecture, the types and the conventions, then ask for narrow, reviewable changes. Treat the model like a strong junior who needs clear specs and a good code review.
Review is still non-negotiable
Every AI change gets read as carefully as a human PR. The model is fast and confident, which is exactly why the human stays in the loop. Speed without review is just faster bugs.
The compounding effect
On the insurance platform, AI-assisted delivery measurably raised velocity — not because it wrote the hard parts, but because it cleared the easy parts out of the way.