dispatching-parallel-agents

To run parallel agents for unrelated failures, you dispatch one agent per independent problem domain. This allows specialized agents to work concurrently with isolated contexts, preventing shared state interference while preserving your main session for coordination.

Orchestrating independent tasks without shared context requires a one-agent-per-domain approach. You construct precise instructions for each agent so they stay focused on their specific subsystem, ensuring parallel execution and structured outputs for your final review.

You should use parallel agent dispatching when you have 3 or more failures or subsystems that are completely unrelated and can be investigated without shared state. This pattern ensures isolated contexts and concurrent execution for faster resolution.

You coordinate specialized agents by dispatching one agent to each independent problem domain and letting them work concurrently. By precisely crafting their instructions, you ensure they stay focused and succeed without inheriting your session's history.

Dispatching parallel agents explicitly requires that subsystems can be investigated without shared state. Each agent operates with an isolated context and structured outputs, ensuring independent problem domains remain fully separated during concurrent execution.