multi-agent-team

Multi-agent orchestration coordinates autonomous Codex agents by assigning specialized roles like architect, frontend, backend, and testing to execute development requests in a gated workflow with clear ownership contracts.

Git worktree isolation allows autonomous agents to work in separate worktrees, maintaining independent progress and safe collaboration. This prevents conflicts during parallel code generation and ensures clean handoffs before integration.

Automating code review and verification across AI agents requires a gate-based execution workflow with explicit acceptance criteria. Dedicated review and test agents independently verify the merged output to ensure safe collaboration.

Yes, an architect-led multi-agent architecture handles end-to-end feature development by orchestrating planning, implementation, testing, and merging. It defines explicit inputs, outputs, and error handling for safe integration.

Yes, predefined acceptance criteria are required for gated execution. They establish explicit ownership contracts and error handling rules, ensuring independent verification only proceeds after meeting strict integration standards.

Isolated worktrees are used for parallel AI agent orchestration to maintain independent progress and prevent branching conflicts. They enable safe collaboration by providing clear ownership boundaries during complex feature implementation.