multi-agent-workflow

To coordinate multiple AI agents for software development, you use a structured workflow that assigns specialized roles like PM, Frontend, Backend, Mobile, and QA, managing task decomposition and parallel execution to ensure efficient collaboration and project completion.

The best way to manage task decomposition across multiple agents is leveraging a PM Agent to break down large requirements into manageable tasks, defining API contracts, and then spawning parallel or sequential agents for independent execution.

API contract management in a multi-agent workflow enforces the definition and alignment of API contracts before development begins, ensuring that frontend, backend, and mobile agents integrate seamlessly without conflicting endpoints.

Yes, you can execute independent tasks concurrently by using parallel agent spawning, which facilitates the simultaneous execution of separate frontend, backend, and mobile development tasks within the same project workflow.

Yes, multi-agent project management covers the full development cycle by guiding a sequential workflow from initial PM planning and task decomposition through development to a final QA review, ensuring all stages are thoroughly completed.

You need a multi-agent workflow when building complex, full-stack projects that require simultaneous changes across mobile apps and backend APIs, where coordinating specialized PM, Frontend, Backend, Mobile, and QA agents ensures efficient task completion.