Lovable, Bolt, v0, Replit and Google AI Studio are excellent at proving an idea works. They are not built to carry it. We rebuild AI-generated prototypes into React and Node applications that survive real users — on a date we put in the contract, for a fixed fee, with no downtime.
You keep the repository, the infrastructure and the IP. No lock-in.
AI coding tools optimise for a working demo, because that is what they are asked to produce. The failure modes are consistent enough to predict before we open the repository — and all four of these are things we find on nearly every audit.
No indexes, no foreign keys, no migration history. Queries that returned instantly against twelve demo rows take seconds against twelve thousand real ones.
Row-level security left permissive or switched off entirely, so any authenticated user can request any other user's records by changing an ID in the URL.
API keys and database credentials pasted inline where the generator put them, then pushed to a repository and never rotated.
The same rule reimplemented in four places. You fix the bug in the one you found and it stays live in the other three.
Generated code is rewritten into a maintainable React, Next.js or Node codebase with real separation of concerns, typed interfaces and a test suite — so the next developer who touches it can reason about it.
Off fragile local storage and unindexed tables onto PostgreSQL, Supabase or Neon, with a proper relational schema, enforced constraints and a migration history you can roll back.
The new architecture is built in parallel and traffic switches only after it has been tested against production data. Your users experience no interruption and no maintenance window.
Secrets moved into managed environment configuration and rotated, row-level security policies written and tested, authentication rebuilt against a real identity provider rather than generated scaffolding.
Query plans reviewed and indexed, N+1 patterns removed, caching added where it earns its place. Tested against realistic concurrency rather than a single demo session.
CI pipeline, staging environment, monitoring and rollback. Handed over with the repository and infrastructure accounts in your name.
The source tool changes the details, not the work. If your app was generated by any of these — or something not on the list — the audit tells you what it needs.
We size the application and read the existing codebase: what is salvageable, what has to go, and where the security holes are. That sizing sets your fixed fee and your production date, both of which go into the contract before anything is committed. On small and mid-size engagements that date carries the money-back guarantee.
Target architecture, data model and migration plan, delivered as documents you keep whatever happens next. This is where the schema your prototype should have had gets designed properly.
The new system is built alongside the old one on a clean React, Next.js and Node foundation. Your existing app stays live and keeps serving users throughout.
Production data is moved with verification on both sides, traffic switches over with no maintenance window, and the repository, infrastructure accounts and deployment pipeline transfer to you. You own all of it, with no licence and no dependency on us.
Straight answers on cost, timeline and what happens to your existing app.
Yes. TS Design Solutions migrates applications generated by Lovable, Bolt.new, v0, Replit, Base44, Cursor and Google AI Studio onto a custom React, Next.js and Node.js stack with a PostgreSQL, Supabase or Neon database. The source platform matters less than what it generated: the work is the same rebuild of data model, authentication and application logic.
TS Design Solutions charges a fixed fee sized by application complexity: £7,500 for a small application, £12,500 for a mid-size application and from £25,000 for large or enterprise systems. The fee is billed across three delivery milestones rather than up front, and ongoing engineering after launch is £1,750 per month. Prices are fixed at the outset, not estimated hourly.
Small applications reach production in 12 weeks, mid-size applications in 16 weeks, and large or enterprise systems in 24 to 32 weeks. The date is agreed during the scoping call before any work begins and goes into the contract. On small and mid-size engagements it is guaranteed: miss it and you get a full refund. Large and enterprise engagements carry a milestone-based delivery SLA instead. Agreed change requests, and time spent waiting on access or approvals from your side, extend the date by the corresponding period.
No. The replacement system is built in a parallel staging environment while the existing app keeps serving users. Traffic is switched over only once the new build has been tested against production data, so there is no maintenance window and no downtime.
AI coding tools optimise for producing something that demonstrates well, not something that survives concurrency. The recurring failure modes are database schemas with no indexes or foreign keys, authentication assembled from scaffolding with permissive or missing row-level security, secrets committed directly into the codebase, no migration history, and business logic duplicated across components so that fixing a bug in one place leaves it live in three others.
Yes. You own the repository, the infrastructure accounts and the intellectual property outright at handover. There is no proprietary framework, no licence to keep paying and no lock-in requiring TS Design Solutions for future changes.
Often, yes. Where the data model is sound, the work can be limited to hardening authentication, adding a migration history, extracting secrets and fixing the specific queries that fail under load. The scoping call answers exactly this question before anyone commits to a full rebuild, and it is what sizes the fixed fee.
TS Design Solutions structures a limited number of engagements as revenue-share or earn-out arrangements rather than upfront fees, for products with demonstrated paying customers. This is assessed case by case against actual revenue, not projections.