dev-team

AI agent orchestration for software development coordinates a specialized team including a Staff Engineer, Project Manager, and QA Engineer to plan, implement, review, and test complex projects through structured workflow patterns.

AI orchestration supports large-scale refactoring and migrations by applying structured workflow patterns based on task complexity. The multi-agent team coordinates planning, code implementation, and testing for multi-issue project execution.

Issue tracking requires integration with Docket to manage planning and status updates for multi-agent software development. Docket provides the necessary issue management to coordinate the AI agent team throughout the project lifecycle.

The best way to plan new feature development is using a multi-agent AI team that follows defined workflow patterns like Small, Medium, or UX-Heavy. The specialized agents handle planning, code writing, review, and testing coordination.

AI code review integrates with automated testing by having a Senior Engineer and QA Engineer review implemented code and ensure it passes all tests. This coordinated workflow guarantees quality control for complex software development projects.

A multi-agent team should not be used for simple, single-issue tasks that do not require coordinated planning, review, and testing. It is designed specifically for complex projects, feature development, migrations, and bug fix batches.