How to build a team of AI coding agents: a tech lead, two developers and a reviewer

Description and use

A defined workflow for a four‑agent AI team where the owner talks only to the tech lead, each agent works in its own git branch, and tasks flow through brief, build, review, and merge stages

Problem

Managing coordination and accountability among multiple AI coding agents in a single repository

Outcome

A repeatable, low‑conflict workflow that keeps the owner in control while delegating task execution to specialized AI agents

Workflow

• Open four sessions yourself and name them "Tech lead", "Dev 1", "Dev 2", "Reviewer"
• Create a dedicated git worktree for each developer with its own branch
• Brief the tech lead with a single prompt that introduces the team and defines roles
• Tech lead turns owner requests into tasks, briefs developers, and coordinates reviews
• Developers build tasks on their branches, run tests, and hand back branches
• Reviewer reviews changes, reports only critical findings, and rechecks fixes
• Tech lead merges approved changes and reports progress to the owner
• Owner monitors progress, provides decisions, and manages bottlenecks by adding more dev or reviewer sessions

Evidence

One coding agent is a pair programmer. Four of them, each with a role, is a small development team: a tech lead who plans and merges, two developers who build, and a reviewer who reads every change before it lands.

Source

One rule matters most: you talk only to the tech lead.

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Give each developer its own git worktree, so two agents never edit the same files:

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You don't brief four sessions. You brief the tech lead, and it introduces the others:

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The brief holds everything. A developer session knows nothing the tech lead doesn't write down.

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