dispatching-parallel-agents

Debug multiple independent test failures in parallel by delegating each failure to an isolated agent. This requires scoping each task with self-contained context and clear expected outputs so agents can resolve separate issues without inheriting unrelated history.

Parallel agent orchestration splits independent debugging or analysis tasks into isolated agents for faster problem solving. It applies to separate subsystems or debugging domains that do not share state or sequential dependencies, enabling simultaneous execution and later integration.

Scope tasks for isolated agents by giving each a narrow focus, clear constraints, and an expected result. You must provide self-contained context so each agent can work independently without inheriting unrelated history or sharing state with other tasks.

Use parallel agents when you have multiple independent problems, such as unrelated test failures or separate subsystem investigations. If tasks do not share state or sequential dependencies, parallel execution saves time compared to sequential investigation.

Integrate and review parallel agent outputs by comparing results, checking for conflicts, and verifying the combined outcome. After each isolated agent completes its scoped task, you validate that their independent solutions work together without contradictions.

Task delegation for parallel debugging requires independent domains that do not share state. If your subsystems or test failures have sequential dependencies or shared history, this isolated agent approach is not suitable and sequential investigation is needed.