dispatching-parallel-agents

To run parallel investigations, you dispatch dedicated agents to work concurrently without shared state. This structured task orchestration assigns one agent per independent failure domain, allowing multiple investigations to run simultaneously.

You should use parallel agents for debugging when you have 3+ unrelated failures or subsystems that can be analyzed concurrently. It is best applied when problems have no shared state and require focused task framing to isolate variables independently.

The best way to orchestrate autonomous agents is to define a clear scope, goals, and constraints for each one. You dispatch them concurrently to investigate independent domains, then collect, review, and integrate the autonomous results into a coordinated fix.

Yes, you can integrate results from concurrently dispatched agents. The task orchestration process includes a parallel review phase where summaries from all autonomous agents are collected and integrated to reach a single, coordinated resolution.

Yes, you need to isolate shared state before dispatching agents. Independent-domain dispatch requires that each agent operates without shared state to prevent conflicts, ensuring the parallel investigations remain truly autonomous and focused on their specific scope.

Task orchestration requires clear scope and goals because focused task framing defines the boundaries for each autonomous agent. Without these constraints, parallel investigations risk overlapping analysis, preventing the structured integration of independent results.