dispatching-parallel-agents

Fix multiple independent test failures concurrently by dispatching focused, scoped agents per problem domain. This parallel investigation approach assigns one agent to each unrelated failing test file, resolving isolated bugs simultaneously without overlapping work, then integrates fixes after checking for conflicts.

Parallel agent orchestration is a debugging technique that groups unrelated failures by root cause, then dispatches self-contained agents to investigate each isolated subsystem bug concurrently. It enables concurrent resolution of independent problems with no shared state or sequential dependencies.

Use parallel agents when debugging multiple independent, unrelated technical issues with no shared state or sequential dependencies, such as multi-file test failure triage or isolated subsystem bugs. Sequential debugging is better when issues share state or have sequential dependencies.

Dispatch parallel agents by first grouping unrelated failures by root cause to ensure no overlapping work, then create scoped, self-contained tasks for each agent with clear goals and constraints. Run agents concurrently to resolve issues simultaneously, then review outputs and integrate fixes.

Yes, parallel agents can fix independent subsystem bugs without conflicts by applying built-in guidance to avoid overlapping work. After concurrent resolution, outputs are reviewed and checked for conflicts before integrating fixes seamlessly, ensuring isolated code problems remain separate.

Parallel agents are limited to independent problems with no shared state or sequential dependencies. They cannot resolve issues where bugs share state or require sequential fixes. Overlapping work must be avoided through careful scoping, and outputs require conflict review before integration.