From Lovable prototype to production: the complete guide.

Taking a Lovable prototype to production means rebuilding it as software you own: the code in your own GitHub repo, authorization enforced on the server, client data isolated in the database, backups, monitoring, and a deploy pipeline that doesn't depend on the builder. For a small system that typically costs ₪3K–18K and takes 2–4 weeks. Platforms with admin panels and AI engines take more, and this guide covers the whole path.

01Why a working prototype breaks in production

Prototypes break in production because the things a demo never tests are the things real users hit first: permissions, load, billing limits and recovery.

We keep finding the same holes in Lovable-generated apps. Permissions are decided at the user level, in the browser, with no server-side control over what a function is allowed to do. The app demos perfectly. It is also easily penetrable, because anyone who opens the developer console can reach more than they should.

Cost is the quieter failure. One client ran a fully automated website-building app that had no limit on how many jobs could run at once, no spending caps and no real stop switch. They left it unsupervised for one day and got an AI bill of over $1,000. The prototype worked. The guardrails didn't exist.

02What production-ready actually means

Production-ready means six engineering domains are covered. Polishing one more feature doesn't get you there; closing all six does.

• Code ownership and decoupling: the code exported into a repo you control, deployable anywhere
• Data and infrastructure: a real database, versioned migrations, automated backups with point-in-time recovery
• Security and permissions: row-level security, server-side authorization, isolation between clients
• The AI engine and core logic your product actually runs on
• Environments and deployment: separate dev and prod, CI/CD, safe rollback
• Monitoring and maintenance: error tracking, alerting, someone accountable when things drift

A system missing any one of the six fails in a way that surprises you later. The security page describes the hardening practices in detail.

03Who owns the code

You should. From the first day of a migration, the code lives in a GitHub repo under your own account, and full ownership of the code and IP transfers to you on final payment. If your builder can't export code you can run anywhere, you don't own a product. You rent one.

04The migration path, step by step

Every migration we run follows four milestones, each with its own sign-off and payment.

• Spec and approval: we map the system together and lock a written work plan before anything is built
• Design: interfaces and flows approved before a line of production code
• Development: the rebuild, hardened across all six domains above
• Delivery: production release with acceptance testing, then handover to your environment

A small system runs 2–4 weeks, including penetration testing before deployment. Larger platforms run 2–5 months, depending on integrations and how much environment testing they need. We've delivered 15 production apps this way, with 2 more in progress. The full milestone breakdown is on the process page.

05What it costs

Pricing follows scope, not hours. Decouple & Stabilize, for taking a working system off Lovable onto solid ground, runs ₪3K–18K. Production Platform, with an admin panel, per-client areas and a RAG engine over your data, runs ₪35K–60K. Scalable Product, for many integrations and serious scale, starts at ₪80K.

The full tier breakdown is on the pricing page, and the scope is fixed in writing before work starts. If you want a number for your specific system, get a written quote for the migration. It's valid for 14 days.

06Three migrations from our own work

Fity is a WhatsApp-based AI bot that helps fitness coaches manage more trainees online. It arrived as one monolithic file that kept breaking: the app ran, but features failed constantly. We rebuilt it on their code base into a secured app with a proper backend, frontend and database, combining several LLM providers with full data separation.

A legal document-intelligence system arrived as an idea with no code at all. It now runs on the client's own machine, reads their evidence database, and produces lawyer-grade response letters in Hebrew, each one verified through several gates before a human approves it.

A trading dashboard arrived as a design mockup made with AI. It now connects to brokerage APIs with hard risk controls, using only the indicators that showed a success rate above 80% across 20 years of market data, and went through three months of paper trading before touching a real account.

The about page has more on how we build. Anything beyond this level of detail stays under NDA.

07Questions we hear on almost every migration call

How can I be sure the product stays mine?
The repo is under your account from day one, and the code and IP transfer to you on final payment. There's no platform to be locked into afterwards.

Is there a guarantee?
Yes. Every delivery carries a 14–30 day bug-fix warranty, and if we run late through our own fault you're credited 5% per week, up to 25%. Both are in the contract.

How often do I get updates during the build?
Four milestones, each with its own sign-off. You approve progress at every stage instead of waiting for one big reveal.

More of these, answered the way we answer them on calls, on the FAQ page.