task-decomposition

Decompose complex software goals by applying functional, data-flow, temporal, or risk-ordered strategies to divide objectives into manageable sub-tasks. This establishes clear boundaries and verifiable completion criteria for each executable component.

Dependency management for multi-agent orchestration works by constructing Directed Acyclic Graphs (DAGs) to visualize and manage task dependencies. This identifies critical paths and manages parallelization across assigned specialized agents.

The best way to plan workflows for a new microservice is to break down the goal into API design, database schema creation, core logic implementation, and testing. This generates execution plans and assigns each sub-task to the appropriate agent.

Yes, you can assign sub-tasks to specialized agents for parallel execution. The orchestration planning generates execution plans, identifies critical paths, and defines protocols to manage parallelization across the dependency DAG.

Yes, you need to define clear sub-task boundaries and verifiable completion criteria before breaking down a project. Explicit dependencies are required to successfully construct the DAG and orchestrate the multi-agent workflow.

You should not use a DAG for task decomposition when a complex goal lacks clear boundaries or cannot be divided into sub-tasks with explicit dependencies and verifiable completion criteria. Ambiguous objectives prevent effective orchestration planning.