fixing

Debugging complex codebase issues without regressions requires a structured workflow that routes problems through complexity assessment, mode selection, and specialized subagents for testing and code review. This approach separates exploration, implementation, and verification into distinct pipeline steps to ensure traceable and safe fixes.

The best way to automate root-cause analysis for production bugs is activating an autonomous workflow that deploys debugging and researcher subagents for parallel exploration. This intelligent routing assesses issue complexity to automatically apply the appropriate fix mode and trace the root cause.

Yes, you can use human-in-the-loop workflows for fixing critical software bugs. The system selects HITL mode based on complexity assessment, allowing you to collaborate safely with subagents like planners and code reviewers to coordinate fixes while maintaining manual oversight.

Yes, this bug fixing workflow supports parallel exploration of multiple issues by activating specialized subagents. The multi-step pipeline deploys debugging and researcher agents to explore root causes concurrently before routing to the planning, implementation, and testing phases.

You should use quick mode instead of autonomous workflows for debugging when facing straightforward bugs that require immediate resolution. The system's complexity assessment automatically routes simple issues to quick mode, while reserving the full multi-step pipeline for complex problems.