dispatching-parallel-agents

Dispatch one agent per independent failure domain—such as tool timeout, edge-case handling, or race condition—and execute them concurrently. Each agent produces a root-cause summary and fix for its domain, then results are merged with minimal conflict.

Use parallel dispatch when you have 2+ failures with no shared state or sequential dependencies. If failures are tightly coupled or require synchronized fixes, sequential investigation is more appropriate.

Group failures by root-cause domain—each representing a distinct subsystem or problem area. Ensure each group has non-overlapping scope so agents can work without contention or shared state.

Coordinate via reserved resources and agent prompts to prevent conflicts. After parallel analysis completes, review and integrate fixes from each domain, merging outputs with structured reporting to track per-domain resolutions.

Yes, if failures are independent and unrelated. Parallel dispatch works across 2+ test files or subsystems—the key requirement is that domains have no shared state, not that they occupy separate files.

Parallel dispatch requires truly independent problem domains with no shared mutable state or sequential dependencies. If failures are causally linked or require ordered fixes, this pattern creates synchronization overhead instead of acceleration.