For Founders Who Built With AI

Built Your MVP With Lovable, Bolt or Claude?We Take It to Production

AI tools got you to a working demo and maybe even funding — but real customers need real auth, tenancy, integrations, and a data model that survives growth. We take over AI-generated codebases and ship the production version, keeping what works and fixing what will break. For funded pre-seed and seed teams in the US, Europe, and UAE.

Get a Free Code ReviewSee Rescue Case Studies
10 wksTypical Prototype → Production
60M+Users Served on Our Rebuilds
13 yrsArchitect-Led Engineering
⭐Why Choose Us

What Breaks First — and How We Fix It

The same six problems appear in almost every Lovable, Bolt.new, v0, Replit, Cursor or Claude-generated codebase we review

🔐

Auth & Security Gaps

API keys in client code, missing row-level security, permissive CORS. We implement proper authentication, authorization and secret management before anything else.

🏢

No Multi-Tenancy

AI prototypes are single-tenant by default — fine for a demo, fatal for B2B SaaS. We retrofit tenant isolation at the data and API layer so every club, clinic or company sees only its own data.

🔌

CSV In, Nothing Out

Prototypes ingest spreadsheets; products integrate. We build real integrations — booking platforms, accounting (Xero/QuickBooks), payments (Stripe), calendars — with webhooks, retries and sync jobs.

🗃️

Data Model Debt

Generated schemas mirror the demo script, not the domain. We redesign the data model for reporting, migrations and the features on your roadmap — then migrate your existing data safely.

📈

Nothing Is Observable

No error tracking, no logs, no alerts — you find out from customers. We add monitoring, structured logging and CI/CD so releases are boring and incidents are visible.

⚖️

Rebuild vs Refactor Honestly

Sometimes the AI codebase is a fine skeleton; sometimes it is scaffolding to throw away. Our review tells you which — with reasoning — before you spend money on either.

🗺️Our Process

From Prototype to Production in Three Steps

A fixed, transparent path — you know what you get at every stage

1

Code & Architecture Review (free)

Give us repo access or a Loom walkthrough. Senior engineers audit the AI-generated codebase: security, data model, tenancy, scalability, integration readiness — and give you a rebuild-vs-refactor verdict.

Deliverables: Written findings memo, risk list, recommended roadmap
2

Stabilize & Harden

We fix the blockers first: authentication, secrets, tenant isolation, data-model corrections, test coverage on critical paths, CI/CD and monitoring — while your demo keeps running.

Deliverables: Production-safe codebase, deployment pipeline, monitoring
3

Build to Launch

The features your launch actually needs: booking and accounting integrations, billing, admin, onboarding. Two-week sprints with a working build every sprint, targeted at your commercial launch date.

Deliverables: Production launch, integration suite, handover docs
⚡Technology Stack

We Speak Both Worlds

Fluent in the AI tools you built with — and the production stack you need next

What We Take Over

💜Lovable
⚡Bolt.new
▲v0 by Vercel
🤖Claude / Cursor code
🔁Replit / Base44

Backends We Inherit

🟩Supabase
🔥Firebase
🐘PostgreSQL
🍃MongoDB
🔗REST / Edge functions

What We Add

🏗️NestJS / Node.js APIs
🏢Multi-tenant architecture
💳Stripe billing
📚Xero / QuickBooks APIs
📅Booking-platform integrations

Production Baseline

🚀CI/CD pipelines
📊Monitoring & alerts
🧪Automated testing
☁️AWS / GCP / Azure
🔐OWASP security review
💼Portfolio

Rescues & Rebuilds We've Shipped

Taking over someone else's codebase and making it scale is most of what we do

📰

News Platform Rescue — 5M to 60M Monthly Users

Inherited a crashing legacy platform at 5M monthly users; re-architected it to serve 60M+ with zero-downtime releases. The same discipline applies to a prototype at 50 users.

Legacy takeoverRe-architectureScale
💼

Recruitment SaaS — MVP in 10 Weeks

Built and launched a production hiring platform in 10 weeks: multi-tenant, payments, messaging engine. Proof that production speed and production quality are not opposites.

MVPMulti-tenant10 weeks
🛒

D2C Commerce Rebuild

Replaced a brittle app that was losing orders with a rebuilt storefront and back office — while the business kept selling throughout the migration.

RebuildZero-downtime migrationE-commerce
💰Pricing

Engagements That Match Your Stage

Start free, scale the engagement with your funding and roadmap

Code & Architecture Review

Free

The honest starting point

  • ✓ Senior-engineer codebase audit
  • ✓ Security & tenancy risk list
  • ✓ Rebuild vs refactor verdict
  • ✓ Written 2-page findings memo
  • ✓ Roadmap recommendation
  • ✓ No obligation
Request a Review
Most Chosen

Production Sprint

Custom-scoped

Prototype → production

  • ✓ Everything in the Review
  • ✓ Auth, security & tenancy hardening
  • ✓ Data-model redesign + migration
  • ✓ CI/CD, monitoring, testing
  • ✓ Two-week sprints, working builds
  • ✓ Typical 8-12 week engagement
Scope My Sprint

Launch Partner

Custom

Through launch & beyond

  • ✓ Everything in Production Sprint
  • ✓ Bookings / accounting / payments integrations
  • ✓ Dedicated team past launch
  • ✓ Embedded engineering leadership
  • ✓ Investor-ready technical docs
  • ✓ Flexible monthly engagement
Talk to an Architect
💬Testimonials

Founders Who Handed Us Their Code

From teams whose products we took over, rebuilt, or launched

⭐⭐⭐⭐⭐

"They took our early-stage product, understood it faster than we expected, and shipped a version we could actually sell. The architecture review alone was worth the call."

ML

Mark Lewis

Director, Hatchster

Client engagement

⭐⭐⭐⭐⭐

"From first commit to a production hiring platform in ten weeks — multi-tenant, payments, the lot. They build like people who have run things at scale, because they have."

CEO

Chief Executive

WorkHire

Worked together

⭐⭐⭐⭐⭐

"We came with an app that kept breaking and left with a platform our team can build on. They fixed the foundations without stopping the business."

DE

Dara Epstein

CEO, Smart Sitting

Worked together

❓FAQ

Frequently Asked Questions

Q: Can you take over a Lovable or Bolt.new codebase?
A: Yes — this is exactly what this service exists for. Lovable, Bolt.new, v0, Replit, Base44 and Claude/Cursor-generated codebases are typically React or Next.js frontends with a Supabase or Firebase backend, and we work with all of these daily. We start with a free code review of your repo (or a Loom walkthrough if you prefer), then give you a written verdict on what to keep, what to fix, and what to replace.
Q: Do we rebuild from scratch or refactor the AI-generated code?
A: It depends on what the review finds, and we tell you honestly with reasoning. As a rule of thumb: the UI and product flows are usually worth keeping, the data model and security layer usually need real work, and tenancy is usually missing entirely. A full rebuild is the answer less often than founders fear — but when it is, doing it at pre-seed is far cheaper than at Series A.
Q: How long does it take to make an AI-built MVP production-ready?
A: A typical production sprint runs 8-12 weeks from review to launch: weeks 1-2 stabilize security and infrastructure, the middle weeks fix the data model and tenancy, and the final weeks build launch-critical integrations. Teams with a hard commercial deadline (for example a Q1 launch after closing a round) get a launch-date-driven plan in writing before we start.
Q: What usually breaks first when an AI-built MVP gets real users?
A: In order of frequency across the codebases we review: authentication and authorization gaps (users seeing each other's data), the database schema failing on the first real reporting request, missing rate limiting and input validation, third-party API keys exposed client-side, and silent failures with no error tracking. Most of these are invisible in a demo and immediate with 50 real users.
Q: Our SaaS needs to integrate with bookings and accounting platforms. Can you build that?
A: Yes — integrations are usually the difference between a prototype that ingests CSV files and a product customers pay for. We build production integrations with booking systems, accounting platforms (Xero, QuickBooks), payment providers (Stripe), and calendars, complete with webhooks, retry logic, reconciliation and sync monitoring rather than fire-and-forget API calls.
Q: We just raised a pre-seed round. Is this the right time for this?
A: It is the ideal time. You have the budget to fix foundations, no large customer base locked onto the current system, and a launch deadline that concentrates scope. Most of our rescue clients are pre-seed to seed: the round closes, the demo that raised it needs to become a product, and the founding team knows AI tools alone will not get them there.
Q: Can you work as our technical cofounder or embedded engineering lead instead of an agency?
A: Yes — many engagements evolve that way. Our Embedded Engineering Leadership offering covers architecture ownership, hiring help, investor-facing technical material and roadmap leadership, alongside the hands-on engineering team. It is often the right model for non-technical founders who need senior technical accountability, not just delivery. See our cofounder page for how that engagement works.
Q: Will you keep building with AI tools or write everything by hand?
A: Both, deliberately. We use AI-assisted development every day — it is excellent for speed on well-specified work — but every architectural decision, security-critical path and data migration is designed and reviewed by senior engineers. The problem with AI-generated MVPs is not that AI wrote the code; it is that nobody with production experience reviewed the decisions.
Q: How do you hand over? Do we stay dependent on you?
A: You own 100% of the code and infrastructure from day one — repositories live under your organization, not ours. Every engagement ends with documented architecture, runbooks and a handover session, and many clients hire their own engineers mid-engagement whom we onboard. Dependency is a choice, not a trap: some clients keep us on a maintenance retainer, others take it fully in-house.
Q: What does the free code review actually include?
A: A senior engineer (architect-reviewed by our founder) reads your codebase and delivers a written 2-page memo: security findings, data-model assessment, tenancy and scalability verdict, integration readiness, and a recommended path with effort estimates. It is a real work product you can act on with or without us — we cap the number we take each month so they stay thorough.
Q: We are in the US / Europe / UAE. How does working with you actually work?
A: Remote-first with guaranteed working-hours overlap: US EST/PST mornings, UK GMT and EU CET business hours, and UAE GST fully covered. You get a dedicated Slack channel, a live project board, and sprint demos every two weeks. Most of our clients are in exactly these regions and have never met us in person — the working build every sprint is the trust mechanism.
Q: How much does it cost to productionize an AI-built MVP?
A: It depends on the review verdict: a refactor-and-harden path is a materially smaller engagement than a rebuild with integrations. Cost is driven by tenancy work, data migration complexity, and how many third-party integrations launch needs. The free review produces a fixed, scoped quote — most funded pre-seed teams find the production sprint fits comfortably within a typical pre-seed engineering budget.
Q: Can you help us pass technical due diligence for our next round?
A: Yes. Part of the production sprint output is investor-ready technical documentation: architecture diagrams, security posture, scalability plan and a technical roadmap. Investors increasingly scrutinize AI-built products for exactly the gaps we fix — a clean diligence story is one of the quiet returns on doing this work before the next raise.
Q: What if our prototype is on Supabase or Firebase — do we have to migrate off?
A: Not necessarily. Supabase and Firebase are legitimate production platforms when used with proper row-level security, migrations and observability — we harden in place where that is the right call. We recommend migrating (usually to PostgreSQL with a Node.js/NestJS API) when tenancy, reporting or integration complexity outgrows what the BaaS model handles cleanly, and the review tells you which side of that line you are on.

Your Demo Raised the Round. Now Ship the Product.

Send us your repo for a free architecture review — a written findings memo from senior engineers, whether or not we work together.

Book a Free Architecture CallSend Project Details

No commitment required • Architecture review included • Response within 4 business hours