dispatching-parallel-agents

Parallel agents enable concurrent investigation of unrelated failures across tests, files, or subsystems. Dispatch one agent per independent domain, ensure non-interference between agents, define explicit task scopes, and combine results after all complete.

Use parallel agents when you have 3+ unrelated failures with no shared state across different tests, files, or subsystems. This approach avoids wasted time on sequential analysis and lets each agent focus on a distinct domain without interference.

Yes, parallel agents work well for splitting test failures by file. Each agent investigates and fixes one file's failures independently, then results are combined for integration into your system.

Agents operate independently with explicit, non-overlapping task scopes to prevent interference. Coordination happens only at the output stage: review results from all agents concurrently, then integrate findings into a summary.

Failures are independent when they affect different tests, files, or subsystems and share no state. If failures depend on a common root cause or modify shared resources, sequential or coordinated investigation is more appropriate than full parallelization.