dispatching-parallel-agents

To investigate multiple independent failures in parallel, you group failures by domain, create focused agent tasks with specific scopes, dispatch them concurrently, and aggregate the results for review.

Use parallel agents for incident investigation when you have three or more unrelated failures that can be addressed without shared state, allowing each agent to investigate independently.

The best way to dispatch Claude agents for separate problems is to assign each independent domain to a dedicated agent with defined constraints and expected output, then run them concurrently and synthesize results.

No, you do not need shared state to run parallel agent dispatch for incident investigation; agents require no shared data beyond their specific prompts to investigate independent failures.

Parallel agent orchestration works by assigning each unrelated failure to a separate agent, dispatching all agents at once to investigate concurrently, and then aggregating their summaries with verification steps.

No, parallel dispatch is designed for independent failures without shared state; if failures share dependencies, they require a different orchestration approach rather than concurrent agent investigation.