Lesson 13: Debugging With AI and Finding the Root Cause

What happens when a developer tells an AI agent, “The feature is broken,” and receives three polished fixes that all fail? Each suggestion may sound convincing, yet none can reliably solve a fault that has not been clearly observed or described. The key question is not “What code should change?” but “What evidence shows what went wrong?” Debugging begins with that shift from plausible guesses to accountable reasoning.