task-coordination-strategies

Task decomposition splits large features into conflict-free parallel streams based on interface boundaries and minimized shared file writes. This ensures parallel development across agents without merge conflicts or integration hell.

A dependency graph defines minimal blockedBy relationships between tasks to optimize the critical path. This prevents unnecessary waiting and ensures smooth coordination among multiple agents by addressing dependency management directly.

Workload balancing monitors progress and rebalances tasks to ensure efficient team utilization. Clear file ownership and interface contracts are defined during decomposition to prevent agents from blocking each other.

Design interface contracts by splitting tasks along interface boundaries and minimizing shared file writes. Using decision trees and checklists ensures efficient decomposition and prevents common coordination failures.

Avoid task decomposition when interface boundaries are ambiguous or shared file writes cannot be minimized. Coordination failures and rework occur when dependency graphs and file ownership are not clearly defined upfront.