Course A · Module A4 Build · Lesson 16 of 17
Fix what's broken without burning credits going in circles.
You shipped something. Then you changed something. Now it's broken and you've sent three messages to the AI asking it to fix the thing, and each time it "fixes" it something else breaks, and you're watching your credit meter tick down. That cycle has a name — the debugging doom loop — and it is the number-one credit sink for non-technical builders. Your single win today: a four-step debugging process that breaks the loop. Once you have it, a broken app stops being frightening and starts being a solvable puzzle.
Imagine phoning a mechanic and saying "my car is making a noise." They guess: spark plugs. You pay, pick it up, still making the noise. You call back: "it's still making the noise." They guess: timing belt. Still making the noise. You're paying for guesses, not diagnosis.
Now imagine saying: "There's a high-pitched whine from the front-right wheel only when braking above 30 mph, and it started the day after I hit a pothole." That's a diagnosis. The mechanic goes straight to the wheel bearing. Debugging is the same skill: describe the problem precisely enough that the fix is obvious.
The quality of the fix depends almost entirely on the quality of the bug description. Use this structure every time:
Notice item 5: telling the AI what didn't change is as useful as telling it what did. It rules out half the codebase instantly.
Reverting is not failure. It is the fastest path back to a working tool. In Lovable, use the version history sidebar. In Bolt, the undo history covers recent generations. The moment you find yourself saying "I'll just try one more thing" for the fourth time, revert instead and start the loop from a clean state.
Answer before opening — recalling it is what makes it stick.
Context: what you expected, what actually happened, and what changed last. The AI is guessing at the cause without that information — which is why its fix is itself a guess. The four-part bug description (expected / actual / error / last change) is what turns a guess into a diagnosis.
Revert to the last working version. Three failed attempts means either the bug is more systemic than a one-line fix, or the AI is going in circles. Reverting costs nothing; a fourth speculative fix costs credits and may leave the codebase in a worse state than when you started.
It rules out large sections of the codebase immediately. If you tell the AI the HTML and CSS are untouched, it knows to look only in the JavaScript. That narrows the search space and produces a more targeted fix with fewer follow-on breakages.
Read this next (primary source)
Best AI App Builders in 2026: Avoiding the Prototype Trap — Momen. The clearest description of the "endless debugging doom loop / burning credits" trap and the structural reasons it happens. Read the section on credit burn and iteration strategy. ~10 min. See RESOURCES.md for more.
Terms from this lesson — debugging, comprehension debt, git / repository — are defined in the course glossary. Keep it open.