gsd-debugger

Systematic bug investigation applies the scientific method to diagnose software issues by forming hypotheses from symptoms and logs. It maintains a persistent debug state across context resets and produces structured root-cause signals.

Maintaining a debug session across context resets requires persistent state management with checkpoints. This approach pauses automation for user input or decisions, preserving the investigation context without losing prior diagnostic progress.

Diagnosing issues in user-acceptance environments uses orchestrated debugging workflows to investigate spawned problems. It supports structured returns and optional fixes, handling checkpoints when automation cannot proceed autonomously.

Automated bug investigation workflows optionally propose fixes and verify outcomes within the same persistent session. This ensures that applied solutions are validated against the original symptoms before the debug session concludes.

Autonomous bug investigation works directly with user-submitted symptoms and logs to initiate the diagnostic process. It handles checkpoints to pause for additional user input or decisions only when automation cannot proceed further.

Checkpoints should be used during software debugging sessions when automation cannot proceed without user input or decisions. They pause the investigation workflow, ensuring structured returns and clear root-cause signals are preserved.