productionos-debug

Hypothesis-driven debugging is a structured workflow that reproduces issues, gathers evidence, ranks root-cause hypotheses, and applies targeted fixes. For Codex workflows, it guides users stepwise through reproduction, evidence collection, hypothesis testing, and regression-proof verification to identify the root cause.

To debug a failing test, describe the bug or failing behavior and start the workflow to reproduce the issue reliably. It collects logs and test results, generates ranked root-cause hypotheses, applies minimal targeted fixes, and validates against the original reproduction to ensure regression resistance.

Yes, you can limit generated root-cause hypotheses by providing an optional max_hypotheses input. This constrains the hypothesis ranking process, allowing you to control the scope of stepwise verification and focus on the most probable targeted fixes during the Codex debugging workflow.

The best way to ensure a bug fix is regression-proof is to validate the targeted fix against the original reproduction commands. The workflow applies minimal fixes and verifies them using the initial evidence, ensuring the identified root cause is resolved without introducing new failing behaviors.

No, specific reproduction commands are optional inputs. The workflow can start with just a bug description, though providing optional reproduction commands helps it reproduce issues more reliably and gather precise evidence like logs and test results for ranked root-cause hypotheses.

A hypothesis-driven approach ranks root-cause hypotheses and verifies them stepwise against gathered evidence, preventing speculative fixes. It maintains a safe, auditable, Codex-first debugging pipeline that ensures minimal targeted fixes and regression-proof validation across complex codebases and reproducibility challenges.