parallel-dispatch

You can orchestrate parallel execution of independent AI tasks by using git worktrees for strict isolation and enforcing input/output boundaries to prevent file conflicts. This allows concurrent processing without compromising workspace integrity.

The best way to parallelize full-stack builds is to dispatch independent phases like backend and frontend engineering simultaneously into isolated git worktrees, then apply automated validation before safely merging the concurrent outputs.

Automated validation handles task failures by utilizing circuit breakers and bulkhead limits to halt problematic processes, while automated retries attempt recovery before any two-stage spec compliance and quality review merging occurs.

Yes, you need dependency graphing to map non-dependent quality assurance tasks accurately before dispatch. This ensures only independent tasks run concurrently in isolated worktrees without breaking pipeline execution order.

You should not use concurrent task orchestration when your pipeline tasks share strict dependencies or require sequential execution, as this approach relies on isolating independent non-dependent tasks to safely merge parallel outputs.