I Run 6 AI Agents as My Dev Team — Here's the Architecture That Actually Works

I'm not a developer. I don't write code. But I ship production software across 8+ projects — trading bots, SaaS platforms, monitoring tools, market dashboards — every single week. My secret? I run 6 AI agents (Claude Code instances) as a structured engineering team, each with a distinct role, personality, and set of responsibilities. They communicate through a shared file, hand off work to each other, and I just... watch. Here's exactly how it works, what failed spectacularly, and what I'd do differently. The Problem: One Human, Too Many Projects I manage multiple production systems simultaneously. Trading algorithms that execute real money. A SaaS product with paying users. Market analysis pipelines. Each needs ongoing development, bug fixes, and monitoring. A single AI coding assistant hits a wall fast: Context overload — one agent can't hold the full picture of 8 projects No specialization — the same agent doing architecture AND line-by-line bug fixes is inefficient No review — AI-g