You built something.
Now it needs
to be production-ready.
AI tools like Lovable and Bolt are genuinely impressive. What they produce in hours would have taken weeks. But there's a gap between "works in the demo" and "ready for real users, real data, and real business consequences." We bridge that gap.
We work with projects built in
Lovable
⚡ Bolt
◈ Cursor
v0
● Replit Agent
◆ Same.dev
Not sure if this applies to you? If you or your team used an AI tool to build a web app, prototype, or site and you're now wondering "what do we do with this," — this page is for you.
Where Are You?
Two different situations.
Both familiar to us.
Vibe-coded projects tend to arrive in one of two states. Which one sounds like you?
Path A
You're at the wall.
Your Lovable/Bolt prototype works — impressively. But you've hit the ceiling of what
the AI can do. Real authentication, a real database, real hosting, custom
integrations, deployment pipelines — the tool can't take it there and you know it.
The app works in the sandbox but you can't deploy it reliably
You need real auth (not demo logins) with proper user management
The database situation is unclear — Supabase, local, or something else
You need to connect it to Stripe, HubSpot, your ERP, or something real
Performance, security, and uptime now matter — it wasn't just a demo
What we do: Assess the existing
codebase, extract the core logic that works, and architect a production deployment — preserving
what's good and replacing what isn't.
Path B
You're in the weeds.
The AI got you 60–70% of the way. Then it started contradicting itself. Each new
prompt fixed one thing and broke two others. The codebase is now a tangle of competing
approaches and you can't figure out which direction it's pointing.
You have hundreds of files and can't trace how they connect
The same "fix" has been applied three different ways in different places
You're not sure what the app actually does vs. what you thought it did
The AI is now mostly reversing its own previous decisions
You're not confident the app is safe to show real users
What we do: Audit the codebase
honestly. Identify what to keep, what to replace, and what the architecture should actually
look like — then execute from there.
Honest Assessment
What vibe-coding
does well — and doesn't
We're not here to criticize AI tools. They're genuinely useful. But they have a ceiling — and knowing where that ceiling is saves you months of frustration.
Where AI tools genuinely shine
Good at →
Translating a clear idea into working UI fast
CRUD operations on simple data models
Prototyping and demos — proving the concept
Common UI patterns (auth forms, dashboards, lists)
Getting non-technical founders to MVP quickly
Reducing the cost of early-stage exploration
Where AI tools hit a wall
Struggles with →
Production-grade authentication and session management
Consistent architecture across a growing codebase
Performance under real load with real data volumes
Security — input validation, SQL injection, XSS, CSRF
Complex third-party integrations (ERP, payment, CRM)
Error handling, logging, and monitoring in production
Deployment, CI/CD, and infrastructure that doesn't break
What We Do
Taking it from prototype to something you can actually rely on
We don't replace what the AI built — we assess it honestly and take over where it ran out of road. The goal is a production-grade version of your idea, not a from-scratch rebuild that ignores the work you've already done.
01
Codebase audit and architecture assessment
We read the code — not just the UI. We identify what's solid (often more than people
expect), what's held together with string, and what the actual data model is versus
what you think it is. We give you an honest report before recommending any work.
02
Production deployment and infrastructure
Hosting, environment variables, build pipelines, database provisioning, domain
setup, SSL, CDN — everything that makes "it works on my machine" into "it works for
your customers." We set it up to scale and to be maintainable, not just to be live.
03
Authentication and user management
Real authentication — not demo credentials. Proper session management, password
hashing, OAuth flows if needed, role-based access control, and account management.
Built on proven libraries (Auth.js, Supabase Auth, Clerk, etc.) rather than
AI-generated auth logic.
04
Third-party integrations done properly
Whether you need Stripe payments, HubSpot CRM sync, an ERP data feed, email
delivery, or something industry-specific — we build integrations that handle errors
gracefully, log what happens, and don't silently fail when something goes wrong.
05
Security hardening
AI-generated code often skips input validation, exposes API keys in the wrong
places, and leaves common attack vectors open. We review for OWASP-level concerns —
SQL injection, XSS, CSRF, insecure direct object references — and fix them before
real users arrive.
06
Handoff so you're not dependent on us
When we're done, you should understand what you have, how it works, and how to
maintain it. That means documentation, readable code, and a setup that any competent
developer can pick up without calling us first.
Three Engagement Types
Depending on where you are
We'll recommend the right one after a code review and conversation about what you need.
Type 01
Production Launch
The prototype is solid — it just needs to be production-ready. We handle
infrastructure, deployment, auth hardening, and go-live without touching the core
product logic you've validated.
Hosting setup and configuration
Production database provisioning
Auth and session hardening
CI/CD pipeline setup
Monitoring and error logging
Type 02
Rescue & Stabilize
The codebase needs surgery before it can go live. We audit, refactor what's
salvageable, replace what isn't, and bring it to a stable state that can be maintained
and extended.
Full codebase audit and documentation
Architecture cleanup and consistency
Security review and remediation
Refactor to maintainable patterns
Then: production launch
Type 03
Extend & Integrate
You're already live (or close to it) but need features the AI couldn't build — real
integrations, complex business logic, custom reporting, or a customer-facing portal on
top of what exists.
CRM, ERP, or payment integration
Custom feature development
API development for external use
Data pipeline and reporting
Ongoing development retainer
A note on Lovable specifically
Lovable is impressive — and we mean that. The UI quality it produces is genuinely
good, and the React/Supabase stack it uses is solid infrastructure. The issue is that Lovable manages a lot of that complexity for you inside its own environment — and when you want to take that project somewhere else, or add things Lovable's AI can't
do, you're looking at the underlying codebase. We know how Lovable exports work, what it
sets up in Supabase by default, and where the typical gaps are in auth and deployment. We
can take a Lovable export and get it to production faster than a developer starting from
scratch because we've done this before.
Before / After
What production-ready actually means
Demo-ready
Works in the tool's preview environment only
No automated tests or deployment pipeline
Secrets or API keys in client-side code
One person understands how the pieces connect
Production-ready
Deployed with monitoring, logging, and backups
Auth, data access, and error handling reviewed
Environment-based configuration and secure secrets
Documented so another developer can ship the next feature
FAQ
Questions about vibe-coded project work
No. Genuinely. These tools get things built that wouldn't exist otherwise, and they've democratized software development in meaningful ways. The fact that we're receiving vibe-coded projects is a feature of the landscape, not a liability. We approach the codebase with fresh eyes — we'll tell you what's there, honestly, including the parts that are better than you might expect.
Only if the audit genuinely shows that's the better path. Rewriting is expensive and usually unnecessary. Our default is to work with what exists — understand it, stabilize it, and extend it. We'll only recommend a rebuild if the codebase is fundamentally unmaintainable, and we'll explain exactly why before touching anything.
It depends on the complexity of the app and the state of the codebase. A relatively clean Lovable export with Supabase backend can be production-ready in 2–4 weeks. A more complex project that needs significant refactoring could take 6–12 weeks. We'll scope it specifically after reviewing the code — we won't give you a timeline before we've seen what we're working with.
Lovable exports are typically React + Supabase, which is a stack we know well. Bolt often outputs similar React/Next.js projects. Cursor and Replit Agent are more variable. We'll tell you upfront if what you've built is outside our wheelhouse — but for most common vibe-coded project stacks (React, Vue, Next.js, Node, Supabase, Firebase), we're comfortable.
That can work, carefully. Once we've established architecture standards and a clean codebase, AI-generated additions can be reviewed and integrated. The issue is that unsupervised AI prompting on a production codebase tends to erode the architecture over time. We can set up a workflow where new AI-generated code goes through a review process before it touches production.
Not for the purpose of reaching out. Marketing sites, SaaS products, internal tools, customer portals, custom admin interfaces — we work across all of them. Just describe what you built and what it needs to do. We'll figure out together what category it falls into and what the right approach is.
After an initial conversation, we'll ask for access to the codebase — usually a GitHub/GitLab link or a zip export. We review it, write up our findings, and get on a call to discuss. The written assessment comes first so you have something concrete to review, not just verbal impressions. No code changes happen until you've seen and agreed to the scope.
Ready to talk
Tell us what you built.
We’ll tell you what it needs.
This kind of project is better discussed than form-submitted. Reach out directly and give us a sentence or two about what you built and where you’re stuck.