orchestrating-workflow

AI orchestration coordinates decomposition of multi-part features by using planner agents to generate a task graph and builder agents to execute sub-tasks while respecting dependencies. You provide a feature description to generate the prompts.

Task graph construction decomposes features into parallel sub-tasks and maps their dependencies. The orchestrator plans execution paths via planner agents, ensuring dependency management and phase-based execution with safety checks.

Yes, dependency management is automated by constructing a task graph that sequences parallel sub-tasks. The orchestrator applies phase-based execution with safety checks to ensure dependencies are respected throughout the build.

End-to-end validation with test scenarios is a core requirement. The orchestrator applies phase-based execution with safety checks to ensure that multi-part features fulfill requirements and validate comprehensively upon completion.

The best way to decompose features is running the orchestrator on a new feature description. It generates a task graph utilizing planner and builder agents to coordinate parallel tasking, dependency management, and end-to-end validation.

To start coordinating builder and planner agents, create a new feature description and run the orchestrator. It will ingest project context and generate planner and builder prompts to construct and follow a task graph.