# Migrate Your Lovable App to a Production Codebase You Own

DreamLabs is an AI-powered app development agency in California — a fractional product team for mobile and web apps, from strategy to launch.

Lovable ships a real React and Supabase app in days. We take it the rest of the way: hardened security, an architecture that holds, tests and CI, running on infrastructure you own.

## Frequently asked questions

### We already sync Lovable to GitHub — isn't the code already ours?

It is, and that is a genuine head start over closed builders. But owning code and having production code are different things. What you own is generated React with no tests, permissive database policies, logic duplicated across screens, and no CI, environments, or monitoring around it. The migration is not about obtaining the code; it is about making the code something a security review, a new engineer, and ten thousand users can all survive.

### Is our Lovable app secure?

There is a specific checklist worth running, today, whether or not you hire us: are any tables readable or writable by anonymous users; do your row-level security policies actually assert something about the current user; is a service-role key present anywhere in the client bundle; do your edge functions authenticate their callers; and is any permission decision made only in the UI. In our experience most Lovable apps that have never had an engineering review fail at least one of these. All of them are fixable.

### Do we have to leave Supabase?

No, and usually you shouldn't. Supabase is Postgres with a good platform around it, and it scales well past the point most products reach. The problem was never Supabase; it was how the schema and policies were generated. We keep the project, design the schema properly, rewrite the policies against a real permission model, and add migrations and backups. We would only recommend moving if your product has a specific requirement Supabase does not serve.

### Can we keep using Lovable after the migration?

Some teams keep it for sandboxed experiments, and its GitHub sync is two-way, but once the codebase has been restructured, prompting changes back into it tends to undo the structure you paid for. The better pattern — and the way our own team works — is to keep using AI inside the repository with tools like Claude Code or Cursor, where types, tests, and code review catch what the AI gets wrong.

### How much does a Lovable migration cost and how long does it take?

Prototypes start at $6,000 and full MVPs at $15,000. Most run about 6 weeks and land around $20,000 all-in, toward the lower end when the app is small or the Supabase backend is in decent shape, because the product decisions, design, and data already exist. Urgent security findings are fixed in the first week rather than waiting for the full timeline. The audit gives you a fixed quote up front.

## Where Lovable stops

Of everything in this category, Lovable gives you the most to work with. It generates conventional React with Vite, Tailwind, and shadcn/ui, backs it with Supabase, and syncs the whole thing to your own GitHub repository. That last part matters more than it sounds: unlike closed builders, you are not asking for an export, you already have the code. Teams get to a working, styled, authenticated product in days, and we have watched founders raise money on Lovable builds.

Where it stops is underneath the interface. Lovable leans on Supabase's row-level security, which means the safety of your app is essentially the quality of a set of database policies plus whatever checks happen to live in your components. When AI writes those policies to make a feature work, they tend to be permissive — and the security incidents that have made news across this whole category come down to the same short list: tables readable by anonymous visitors, policies that assert nothing, service-role keys reaching the browser, edge functions with no authentication in front of them. A user does not need to be a hacker to find these; they need the browser's network tab.

The second wall is velocity. Page components grow past a thousand lines, the same logic ends up pasted across five screens, and there are no tests, so nothing tells you when a prompt quietly broke checkout. Add the platform coupling — preview hosting, credits consumed per iteration, an editor between you and your own app — and the tool that made you fast in month one is what slows you down in month six.

## What we keep — and what gets rebuilt for scale

A Lovable migration starts further ahead than almost any other, because the code is already real React and the backend already lives outside the platform.

- **Your repository comes with you on day one.** If GitHub sync is on, we start from your actual code. There is no export step and nothing to reverse-engineer.
- **Your Supabase project stays exactly where it is.** Database, auth, storage, and edge functions are yours already. Nobody re-registers and no data moves.
- **Your interface carries over.** shadcn/ui and Tailwind are conventional, well-understood React. We keep the design your users know and consolidate the copy-paste behind it.
- **Row-level security and authorization get rebuilt.** We derive an explicit permission model from how your product actually works, implement it in policies and server-side checks, and write tests that prove a user cannot read another user's data.
- **Component structure gets refactored.** Thousand-line page files become typed, shared modules with one way to fetch data instead of one per screen.
- **Secrets and edge functions get corrected.** Keys move out of the client bundle and get rotated; functions get authentication, validation, and rate limits.
- **Testing, CI/CD, environments, and monitoring get built new.** None of this existed, and it is what makes every future change safe.
- **Hosting moves.** Off the platform's preview domain and onto Vercel, Cloudflare, or your own cloud, with staging, production, and a rollback path.

## A codebase that survives a security review

You stay in the ecosystem you are already in, which is why this is one of the fastest migrations we do: **React with TypeScript**, either on Vite or moved to Next.js when server rendering or SEO justifies it, talking to the same **Supabase** project you already run — now with a properly designed schema, tested policies, versioned migrations, and real backups. Hosting sits on Vercel, Cloudflare, or your own cloud account, with CI/CD, environments, and monitoring around it.

Nothing about your product changes for users. What changes is that the rules protecting your data are enforced where users cannot reach them, every deploy is reversible, and any React engineer you hire can read the codebase without a tour.

## The migration, step by step

### Audit & Security Review

We clone your repository, open your Supabase project, and review both against the failure patterns this platform produces: policies that allow everything, tables exposed to anonymous access, privileged keys in the client bundle, edge functions without auth, validation that only happens in the browser. In parallel we map the code — what is real, what is duplicated, what is mocked. You get a prioritized findings list and a fixed-scope plan before anyone writes code.

### Harden Supabase and Move Authorization Server-Side

First we close what the audit found. Every table gets a policy written from an explicit permission model rather than from whatever made the feature work, privileged keys are rotated out of the client, edge functions get authentication and input validation, and the rules that decide who can see what move to the server where users cannot reach around them. Each rule ships with a test that tries to break it.

### Refactor, Type, and Test

Senior engineers restructure the generated code into an architecture that holds: shared components instead of duplicates, TypeScript models shared between the client and the database, one data-fetching pattern, clear module boundaries. AI accelerates the mechanical refactors and test coverage while the structural decisions stay with the engineers. CI/CD and separate environments go in alongside, so from here a regression is caught by the pipeline rather than by a customer.

### Launch & Handoff

We deploy to your own hosting with staging and production environments, error monitoring, and alerting, point your domain at it, and preserve or redirect URLs so search rankings follow. Then you get the repository, the infrastructure accounts, and documentation a new engineer can onboard from — and the Lovable subscription becomes optional rather than load-bearing.

## Links

- Full page: https://www.dreamlabs.pro/services/migrate-from-lovable
- Offerings & pricing: https://www.dreamlabs.pro/offerings
- Contact: https://www.dreamlabs.pro/contact