dispatching-parallel-agents

Dispatch separate Claude agents concurrently to investigate each independent failure across different files or subsystems. Each agent works in isolation on its domain, then outputs findings and fixes for integration, enabling faster parallel resolution than sequential debugging.

Use parallel agents when failures span multiple files or subsystems with no shared state or dependencies. Independent domains are suitable for concurrent investigation; shared state or cross-domain dependencies require sequential or coordinated approaches instead.

Group failures by domain, create one focused task per domain, and enforce isolation between agents. This approach enables parallel execution while keeping outputs concise and suitable for integration into your codebase.

Collect concise summaries and fixes from each agent, review outputs for correctness, then integrate fixes domain by domain. Each agent's isolated work reduces conflicts and simplifies verification before merging changes.

Yes. Assign one agent per test file when failures are independent and have no shared state. Parallel dispatch investigates and fixes each file concurrently, then outputs results for integrated review.

Identify which failures are independent, document the scope and domain for each, and prepare context for each agent task. Clear isolation between domains ensures agents can investigate concurrently without conflicts or shared dependencies.