Lovable App Broken? When to Fix It in Lovable and When to Leave

Your Lovable app worked in the preview, got its first real users, and now something is wrong that another prompt does not fix. The question is not "how do I fix it" yet. It is "where should this get fixed": inside Lovable, in the exported code, or in a new codebase.

This post is the decision. It covers the five ways Lovable apps break, which of those Lovable itself can handle, what exporting to GitHub actually gives you, and the short list of reasons a move to Next.js is worth its cost. It does not cover Bolt or v0 in detail, though the export logic is similar, and it is not a Lovable tutorial.

First, what a Lovable app is

A Lovable project is a Vite + React single-page application with Tailwind, usually a Supabase backend for auth and data, and optional Stripe. The code is real and complete; Lovable stores it and can sync it two-way to a GitHub repository.

That last sentence is the one founders miss. The code is not locked in a proprietary format. Lovable's documentation describes GitHub sync as export plus two-way sync with github.com, GitHub Enterprise Cloud or GitHub Enterprise Server. Anything a developer can do to a React app, they can do to yours, and you keep prompting in Lovable at the same time.

The five ways it breaks

AppStuck's troubleshooting guide lists ten common Lovable errors; grouped by cause, the ones that reach us are five.

The pattern in the last column: UI and configuration problems get fixed in Lovable, and anything that touches the database's security or the codebase's structure gets fixed in the exported code.

The security row is not rare. Symbiotic Security scanned 1,072 apps generated by vibe coding platforms with Supabase backends in June 2026 and found at least one flaw in 98% of them and a critical one in 16%. We wrote up the Supabase side, including the October 30, 2026 change to how new tables are exposed, in Supabase stops auto-exposing new tables.

Option 1: fix it in Lovable

Cheapest, and right for the first two rows. Some practical rules:

• Ask it to investigate before it fixes. "Find why login redirects back to /login, explain, then propose a fix" produces better results than "fix login".
• Give it the exact error text from the browser console, not a description of the symptom.
• Set a stop rule before you start: three attempts at the same bug, or one fix that breaks something unrelated. When you hit the rule, stop spending credits.

The stop rule matters because a prompt loop is a sign, not bad luck. It means the app has duplicated logic in several files and the model changes one copy at a time. More prompts add more copies.

Option 2: export and fix

Connect the project to GitHub (Lovable's docs walk through it), clone the repo, and a developer works on it with normal tools: a real terminal, a debugger, the Supabase CLI, tests. This is the right move for the Supabase, prompt-loop and security rows.

What a first day of export-and-fix looks like:

1. Rotate any Supabase service key or Stripe secret found in the frontend bundle. Do this before anything else.
2. List every table, whether RLS is on, and how many policies it has. Test each table as the anon role.
3. Read the auth flow end to end once, and remove the duplicate versions of it.
4. Add the production environment variables that the blank screen was missing, and a build check in the repo so it cannot happen silently again.
5. Push. Lovable picks up the commits, and you keep using it for UI.

The thing to agree up front is ownership. Two-way sync means Lovable and the developer can both edit the same file. In practice: the developer owns supabase/, auth, and anything with a secret; Lovable owns components and copy.

Option 3: move to Next.js

This is the option founders reach for first and should reach for last. A rewrite to fix a policy is the most expensive way to fix a policy. There are, though, four reasons that justify it:

• You need server-rendered pages. Lovable ships a client-rendered single-page app. If your product depends on Google indexing content pages, or on Open Graph previews that change per page, Next.js does that and Vite alone does not.
• You need server-side secrets. Calling OpenAI, Stripe or a third-party API from the browser means the key is in the browser. Next.js route handlers and server actions keep it on the server.
• You need background work. Scheduled jobs, webhooks that take longer than a request, queues. A single-page app has nowhere to run them.
• A team will maintain it. If you are hiring engineers, they will be more productive in a conventional Next.js repo than in Lovable's output.

If none of the four apply, stay on option 2. If two or more apply, the migration usually pays for itself within a quarter.

The database is the part that keeps a migration in weeks rather than months: Supabase stays, the schema stays, the auth users stay. What changes is the frontend and the routing model. We run these the same way we run Bubble migrations, described in the Bubble to Next.js cutover plan: new app behind the old one, one route at a time, the old app stays live until the last route moves.

What we did not measure

We have not timed Lovable's own fix rate on the five failure modes; the "fix it where" column reflects the cases that reached us after Lovable had been tried, which is a biased sample by definition. The cost range in the FAQ is HatchWorks' summary of community reports, not our price list.

If you want the export-and-fix first day done by someone who has done it before, that is the vibe-coded app rescue. If it is the Next.js reasons that apply, the migration page explains how we do a cutover without downtime.