task-orchestrator

You can parallelize multi-unit refactoring projects by fanning out tasks to isolated agents, each operating in its own git worktree. The coordinator manages their lifecycle through a deterministic dependency graph to ensure reliable integration into a target branch.

Automated review for parallel agent workflows enforces a rigorous review-fix cycle for every task before integration. This ensures high-quality code by automatically routing agent outputs through validation loops within the deterministic dependency graph.

Yes, you can resume complex engineering workflows after interruptions because the coordinator maintains a durable state journal. This state persistence tracks atomic progress, allowing parallelized code changes to restart exactly where they left off.

The best way to coordinate multiple agents for feature implementations is to use a deterministic dependency graph that manages isolated task execution. This approach applies to parallelizing code changes by serializing the integration of completed units into a target branch.

Yes, you need commander as a dependency to manage parallel task execution and orchestration. It provides the necessary framework for the coordinator to fan out work units to independent agents and manage their lifecycle.