dispatching-parallel-agents

Debug independent failures in parallel by dispatching one specialized agent per problem domain. This approach isolates context, prevents session history leakage, and ensures each subsystem is investigated concurrently without shared state.

Isolate context by defining clear single-agent scope per domain and explicit input/output constraints. This ensures verifiable isolation, preventing session history leakage between concurrent tasks investigating unrelated failures.

Set up focused tasks by defining clear goals, constraints, and expected outputs for each agent. Dispatch one agent per independent problem domain to ensure they work concurrently without requiring shared state.

Use parallel agents when you have multiple unrelated failures across independent files or subsystems. Sequential investigation wastes time, while dispatching parallel agents ensures each problem is handled in its own isolated domain.

Yes, you can dispatch parallel agents to investigate multiple files that do not depend on one another. This creates focused tasks with clear goals and constraints, enabling concurrent work without shared state interference.

Shared state causes issues by allowing session history leakage between agents. Dispatching parallel agents with isolated context ensures each independent problem is handled in its own domain, preventing context contamination and ensuring verifiability.