My workflow:
1. Give the agent detailed task + relevant file contexts (so it doesn't waste time searching)
2. Guide it with continuous feedback when it veers off
3. Jump in manually if it's going completely wrong direction
I use Claude Code for the agent work, Cursor for manual edits.
Key insight: AI coding works as well as your architecture does. I make all architecture decisions, file structure, organization -- AI just writes the implementation logic.
Clean architecture = better AI output.
I believe This is becoming the norm because it gives startups massive velocity advantage. That's probably why your CTO is pushing it.
Career impact? As a senior who understands what AI writes, you're gaining superpowers, not losing skills. You were previously bottlenecked by implementation speed and needed other engineers. Now you can be a 10x engineer - as long as you can envision the architecture, AI helps you build it faster.
The key is knowing when to guide vs when to take over. That judgment comes from experience.