Bug Doom Loop
The Bug Doom Loop describes what happens when you keep asking an AI app builder to fix the same bug: each attempt changes the code, often re-breaking something it previously fixed or introducing a new issue, so you cycle through fix attempts without converging — spending credits and time on every pass.
Also known as: doom loop · fix loop
It usually signals that the underlying problem is outside what prompt-level edits can resolve — a data-model issue, a missing migration, an environment/config problem, or accumulated inconsistencies the model can't see all at once. Breaking the loop generally requires a human reading the actual error and state rather than another generation pass.
In Lovable specifically, every fix attempt spends credits, so a doom loop is expensive as well as frustrating. Common mistake: treating each retry as free iteration and re-prompting the same failing request — once two or three attempts have not converged, it is usually cheaper to stop, read the real error, and fix the root cause directly rather than asking the builder to try again.
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