dispatching-parallel-agents

Dispatch one agent per independent problem domain to run concurrently with isolated context. This approach avoids shared state between investigations while preserving your main session context for high-level coordination and reporting back structured findings.

Parallel agent dispatch is a coordination technique that assigns specialized agents to independent tasks simultaneously. It enforces isolated context per agent, ensuring that concurrent investigations into different subsystems do not interfere with each other or pollute the main session context.

Use parallel agents when you have 3 or more failures or subsystems that can be investigated concurrently. Dispatching independent agents prevents context conflicts and allows specialized, isolated investigations to run simultaneously without shared state issues.

Maintain isolated context by enforcing one agent per problem domain and ensuring no shared state between concurrent investigations. This isolation prevents cross-contamination of findings and preserves your own session context for dispatch and coordination.

Yes, dispatching parallel agents works by explicitly maintaining isolated context and avoiding shared state between investigations. Each agent operates independently within its own problem domain, reporting structured findings back to your main coordination session.

A limitation of parallel agents is that the approach only applies to scenarios with independent subsystems. It is not suitable for dependent problems requiring sequential investigation, and it requires clear, structured prompts to effectively coordinate the isolated agents.