multi-agent-debugging

Parallel debugging works by dispatching multiple specialized investigators simultaneously to test hypotheses across different domains like data integrity, control flow, concurrency, and environment configuration. This concurrent investigation approach enables cross-domain analysis to identify root causes faster than sequential methods.

Use multi-agent debugging for root cause analysis when facing complex bugs with unclear origins that require cross-domain investigation. It is ideal when symptoms span data, logic, timing, and configuration areas, enabling concurrent hypothesis testing rather than sequential troubleshooting.

You coordinate parallel hypothesis testing using a configurable orchestrator workflow that defines investigators, dispatches them across domains, evaluates their hypotheses against collected evidence, and synthesizes findings to present a unified root cause conclusion.

Concurrent root cause analysis covers four specialized investigation domains: data integrity, control flow, concurrency, and environment. These parallel investigators test hypotheses across data, logic, timing, and configuration areas to ensure comprehensive bug characterization.

Yes, the workflow includes selective investigation guidance that adapts to the characterized bug symptoms, reproduction steps, and context. This reduces unnecessary cross-domain exploration by targeting specific investigators based on the reported issue.

Conflicting hypotheses are resolved using defined evaluation rules that compare evidence collected by each investigator. The orchestrator applies best-practice rules for concurrent evaluation and evidence synthesis to avoid false positives and present accurate findings.