Vibe Coding Debugging: What to Do When AI-Generated Code Breaks
A practical debugging process for fixing AI-generated mobile app code without losing context, confidence, or hours of work.
Reproduce the problem first
Write the shortest sequence that causes the failure. Record the device, operating system, user state, network condition, and exact error message. “The screen is broken” gives an AI agent very little to work with. “After returning from the payment screen on iOS, the list is empty until restart” is actionable.
Ask for diagnosis before a fix
Give Codex or another agent the reproduction steps and ask it to inspect the relevant files, trace the data flow, and list likely causes without editing. This prevents the common cycle of applying increasingly random patches.
Reduce the surface area
Use logs, a minimal test case, and a temporary hardcoded fixture to identify whether the issue is in the UI, network request, database query, or state management. Once the layer is known, remove the fixture and fix the actual boundary.
Verify the fix against the original failure
Run the exact reproduction steps again. Then test one neighboring case: a slow response, an empty response, a second login, or a failed request. A fix that only changes the happy path is often a delayed bug.
Keep the repository understandable
Avoid accepting a large generated rewrite when a small correction will do. Ask the agent to show the diff and explain why each changed file is necessary. Commit after a verified fix so you can safely experiment with the next improvement.
Vibe coding becomes much more reliable when debugging is treated as a structured investigation instead of a conversation that keeps asking the AI to “try again.”