agent-teams

Orchestrating multiple AI agents for test-driven development involves a Team Lead that spawns feature agents to execute a strict 10-step TDD pipeline. This enforces dependency-driven task chains and manages pull requests through a dedicated Merger Agent.

A multi-agent TDD pipeline is an automated workflow where a team roster of permanent and dynamic agents implements features through an immutable 10-step task chain. It applies dependency-driven execution and uses a dedicated Merger Agent for cross-feature serialization and PR management.

Enforcing strict code review and role separation across automated feature branches requires a dedicated Merger Agent to manage PRs while feature agents handle implementation. This provides auditability and scalable collaboration across features without human coordination overhead.

You need to initialize a CLAUDE project to start a multi-agent TDD workflow. Once initialized, the Team Lead automatically spawns feature agents to begin executing the strict TDD pipeline and managing the dependency-driven task chains.

Automating context-aware task planning and risk assessment is possible through iCPG integration. This is built into the multi-agent orchestration workflow to help the Team Lead evaluate features before spawning agents and executing the TDD task chain.

Automating team management with a multi-agent TDD pipeline relies on an immutable 10-step task chain, making the process rigid and unsuitable for ad-hoc development. It is built for projects needing strict auditability and role separation rather than flexible or exploratory coding workflows.