How to Build a Claude Agent Team: One Writes Code, One Reviews, One Deploys (Exact Config Inside)
One Claude session doing everything is like one employee who writes the code, reviews their own pull request, and pushes to production at 3am. Every engineering manager knows why that fails.
One Claude session doing everything is like one employee who writes the code, reviews their own pull request, and pushes to production at 3am. Every engineering manager knows why that fails.
Boris Cherny does it differently. The creator of Claude Code runs hundreds of agents in parallel from his phone. Each one has a specific job. Each one feeds results to the next. He hasn't written a single line of code in 2026.
Boris Cherny does it differently. The creator of Claude Code runs hundreds of agents in parallel from his phone. Each one has a specific job. Each one feeds results to the next. He hasn't written a single line of code in 2026.
The architecture is not complicated. It is three agents with three separate claude-md files and one pipeline connecting them.
The architecture is not complicated. It is three agents with three separate claude-md files and one pipeline connecting them.
This article shows you the exact setup: one agent writes code, one reviews it, one deploys it. Code goes from idea to production with you as the oversight, not the bottleneck.
This article shows you the exact setup: one agent writes code, one reviews it, one deploys it. Code goes from idea to production with you as the oversight, not the bottleneck.
Why One Agent Is Not Enough
Why One Agent Is Not Enough
When one agent writes and reviews its own code, it misses the same things a human would miss reviewing their own pull request. No second pair of eyes. No separation of concerns.
When one agent writes and reviews its own code, it misses the same things a human would miss reviewing their own pull request. No second pair of eyes. No separation of concerns.
When you split across multiple agents, each one operates with a different system prompt and a different job. The writer optimizes for speed. The reviewer optimizes for correctness. The deployer optim...