I'm building a startup myself and we vibe code everything, except core/complex parts where AI struggles. My workflow: 1. Give the agent detailed task + releva

I'm building a startup myself and we vibe code everything, except core/complex parts where AI struggles. 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.