task-coordination-strategies

Task decomposition breaks complex features into manageable units by designing dependency graphs and task descriptions, enabling parallel execution across agents. You provide a feature description and receive a structured task plan with workload balancing.

A dependency graph models task relationships by mapping blockedBy and blocks connections to identify critical paths. It captures ownership, progress tracking, and workload monitoring to prevent blockers during multi-agent project planning and feature breakdowns.

Task descriptions require objective statements, owned files, interface contracts, and acceptance criteria to ensure clear ownership and quality. This structure guarantees agents understand requirements and quality thresholds before executing parallelizable units.

Workload monitoring rebalances assignments across teammates by tracking progress against the dependency graph. It identifies overloaded agents and redistributes parallelizable units to maintain throughput and minimize blockers during feature delivery.

Yes, task decomposition supports feature breakdowns where tasks have owners, dependencies, and progress tracking. It generates dependency graphs with clear ownership models, interface contracts, and acceptance criteria for multi-agent orchestration.

Dependency graphs add overhead for simple, independent tasks with no blockedBy or blocks relationships. If work lacks multiple owners, interface contracts, or parallelizable units, lightweight task descriptions without formal dependency modeling are more efficient.