dispatching-parallel-agents

Fix multiple independent test failures faster by dispatching parallel agents to investigate distinct subsystems or test files concurrently, reducing overall time-to-fix. Each agent receives scoped goals and constraints to avoid conflicting edits before a final integration review validates the full test suite.

Use parallel agents for debugging when you have 3 or more failing test files that appear unrelated and belong to distinct subsystems with no shared state. This technique works best when each failure can be investigated independently without risking conflicting code changes across different files.

Workflow orchestration handles conflicts through a final integration review that checks for conflicting edits after parallel agents complete their scoped tasks. The process validates all changes by running the full test suite, ensuring the combined code integration is stable and no regressions were introduced.

No, you should not run parallel debugging agents on test failures with shared state. This approach applies specifically to multi-failure scenarios where each failure belongs to a distinct subsystem or test file with no shared state, ensuring agents can investigate independently without conflicting edits.

Group independent failures for parallel root-cause analysis by splitting them into separate problem domains that can be investigated without shared state. Assign each agent a single test file or subsystem with constrained changes, then run agents concurrently and review results for conflicts during integration.

Sequential debugging wastes time on unrelated test failures because it investigates each problem one after another, even when the failures belong to distinct subsystems with no shared state. Dispatching parallel agents allows concurrent investigation, significantly reducing overall time-to-fix for multi-failure scenarios.