The original title is "How to Debug a Failing Test with AI (Step-by-Step)"

Short summary

A practical step-by-step workflow for using AI to debug failing tests: gather raw context, prompt AI to triage and classify the failure, run a minimal diagnostic to confirm the hypothesis, then request a minimal fix with explanations. The author includes copy-paste prompts for each stage and a final coverage-validation step to catch hidden regressions. Light self-promotion for a paid prompt pack at the end.

• •Gather full stack trace, test code, and implementation before prompting AI
• •Use a triage prompt to classify failure and rank hypotheses before fixing
• •Confirm hypothesis with minimal diagnostic, then request minimal fix and validate coverage

Generated with AI, which can make mistakes.