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You orchestrate multi-agent development workflows by spawning agents across a fixed 4-tier architecture of Master, Manager, Conductor, and Agent layers to coordinate task assignment and monitor concurrent progress.

File-based communication enables task-state management by using synchronization protocols and surface prompts, allowing distributed agents to share status updates and coordinate results without direct inter-process messaging.

Yes, multi-agent task orchestration requires a persistent daemon to run continuously, enabling spawn-based agent coordination, pull-based status checks, and robust fault tolerance across constrained environments.

The best way to monitor task progress is through pull-based status checks and surface-driven communication, which provide visibility into agent execution and ensure robust fault tolerance during result integration.

Yes, you can use a suite of CLI commands to spawn workspaces, start daemons, and coordinate agents, enabling task creation, assignment, and result integration specifically within constrained environments.

You should avoid a fixed 4-tier architecture for task management when your orchestration needs require highly dynamic, ad-hoc agent topologies rather than predefined Master, Manager, Conductor, and Agent role hierarchies.