DreamLabs
DreamLabs
[AI builds]
Lovable, Bolt, v0, and Replit got you a working app in a weekend. We turn that prototype into a secure, tested, production-grade codebase your team owns — usually in weeks, and without starting over.
Free migration audit[The wall]
You described an app and got one back. That is genuinely remarkable, and starting there was the right call. Lovable, Bolt, v0, Replit, Base44 and their peers compress weeks of scaffolding into an afternoon, and they hand you something real — React components, a database, a working sign-up flow — instead of a slide deck. We use these tools ourselves. If you shipped a prototype that found users, produced feedback, or closed a first customer, the tool did exactly what it was built to do.
The stall comes later, and it is remarkably consistent. Every prompt is a local edit made without a model of the whole system, so the app accumulates: one enormous file per screen, the same logic pasted in five places, tables added faster than they are constrained, permissions left open because closing them broke the demo. None of that hurts until real people are using the app. Then three things break, almost always in this order. Security goes first: API keys shipped inside the browser bundle, row-level security disabled or written to allow everything, authorization enforced in the UI where any user can walk around it. Reliability goes second: no tests, no staging environment, no error monitoring, no way to roll back a bad change. Velocity goes last and hurts the most: each new prompt carries a real chance of breaking something that worked yesterday, and by month three you are prompting to repair more often than to build.
None of this means the tool failed you. It means you crossed the line these builders draw. They are exceptional at producing a working version one, and they are not, yet, an engineering practice. Version two has to survive a security review, a due-diligence request, a traffic spike, and a new engineer reading the code for the first time. That is a different job, done by people, on the code you already have.
[How it works]
[01]
We take your repository and your running app and go through both: every route, every table, every integration, and an honest inventory of what is genuinely working versus what is mocked, stubbed, or held together for the demo. Alongside that we run a security pass — secrets in the client bundle, row-level security and permission rules, server-side authorization, input validation, webhook verification, dependency risk — and load-test the paths that matter. You get a prioritized hardening map and a fixed scope. Sometimes the honest answer is two weeks of hardening rather than a migration, and we will tell you that.
[02]
Security and data integrity come before anything cosmetic. We close the exposures the audit found, move authorization to the server, lock down database access with policies we actually test, rotate any key that has been sitting in a client bundle, and put real constraints and backups on your data. This phase is sequenced so that the risky things stop being risky in week one, whether or not you continue into a full restructure.
[03]
Senior engineers refactor the generated sprawl into an architecture that holds: shared components, typed models end to end, one way to fetch data instead of nine, and clear boundaries between interface, logic, and storage. AI accelerates the mechanical work — refactors, type coverage, test generation — while the design decisions stay with the engineers. Automated tests, CI/CD, and separate environments go in as we go, so from this point forward a change that breaks something gets caught before your users find it.
[04]
We move the app off the builder's preview hosting onto infrastructure in your own accounts, with monitoring, alerting, and a rollback path. URLs are preserved or deliberately redirected so nothing you have earned in search is lost. Then we hand over the repository, the accounts, and documentation any competent engineer can pick up — and stay available as a fractional product team if you want ongoing help.
[Where you land]
Almost every AI-built app is React underneath, so you usually stay in the ecosystem rather than leaving it: React or Next.js on the front, TypeScript throughout, and a real backend behind it — Postgres via Supabase or Neon, Firebase, or a dedicated API, chosen for how your product actually needs to scale rather than for what the builder defaulted to. Hosting moves to Vercel, Cloudflare, or your own cloud account, with environments, CI/CD, and monitoring around it. If your roadmap includes the app stores, the same product moves to React Native or Flutter with the web app as its specification.
What changes is not the language, it is the floor underneath it. Every rule that protects your data is enforced on a server and covered by a test. Every deploy is reversible. Every engineer you hire can read the codebase without a tutorial. And you can keep using AI to build — we do, every day — because now there is a test suite and a review process to catch it when it is wrong.
[Platform guides]
[Smaller engagements]
Migrating off FlutterFlow, Bubble, Webflow, or Airtable instead? See no-code migration →
[FAQs]
No, and you shouldn't. The interface, the product decisions, and usually the data model are the expensive parts to figure out, and your prototype already contains all three. What gets replaced is the structure underneath: duplicated logic becomes shared modules, client-side checks become server-enforced rules, and the missing engineering practice — tests, environments, monitoring — gets built. In most engagements a large share of your screens survive nearly intact.
Most full migrations land around $20,000 with our AI-accelerated process, compared to the roughly $200,000 a traditional agency would quote to rebuild the same product. Not every app needs the full engagement: if the audit finds a fundamentally sound build with specific security and reliability gaps, a focused hardening sprint costs considerably less. The audit produces a fixed scope, so the number you approve is the number you pay.
About 6 weeks for a full migration, versus roughly 6 months for a conventional rebuild. Prototype migrations are faster than greenfield work for one specific reason: your app already answers every product question, so engineers spend their time building instead of deciding. Critical security fixes do not wait for the full timeline — they ship in the first week or two.
Often, in a small and predictable set of ways. The recurring findings across this category are database tables readable or writable by anyone, permission rules that check nothing, privileged keys ending up in the browser bundle, serverless functions with no authentication, and authorization logic that only exists in the UI. These are not exotic vulnerabilities and they are not a sign you did something wrong; they are what happens when a code generator optimizes for a working demo. They are also, individually, straightforward to fix once someone looks.
Yes, and that's the point. The problem was never AI writing code — our own engineers do it all day. The problem is AI writing code with no types, no tests, no review, and no architecture to write into. Once those exist, AI-assisted development becomes reliable rather than risky, and we set your team up to work that way, whether that means Claude Code and Cursor in the repository or keeping the original builder around for sandboxed experiments.
[Interested?]