agentic-systematic-debugging

Systematic debugging enforces a reproduce-first workflow by requiring a minimal reproduction, explicit evidence collection, a defined root-cause hypothesis, a failing guard, and post-fix verification to eliminate guesswork.

The best way to reproduce a test failure is to enforce a reproduction attempt before analysis, ensuring the failure is observable through minimal reproduction and explicit evidence capture across CI or production environments.

Writing a failing guard before fixing unexpected behavior locks the root-cause hypothesis, ensuring your single targeted fix can be validated against the original reproduction path through post-fix verification.

Yes, a reproduce-first debugging workflow is applicable to CI pipeline failures, test failures, and unexpected behavior, guiding you through evidence collection, hypothesis isolation, and validated fixes across development environments.

To isolate the root cause of a bug after collecting evidence, you state a defined root-cause hypothesis, implement a single fix targeting that specific hypothesis, and then run post-fix verification against the original reproduction.

A root-cause-first debugging approach requires a strict sequence of reproduction, evidence collection, and hypothesis validation, making it less suitable for quick fixes when a bug cannot be reliably reproduced or observed.