Cursor, Bolt, Lovable, Claude, v0. They got you to a working prototype fast. The last stretch, the security holes, the messy architecture, the parts that fall over under real traffic, is where most AI-built apps stall. We take your vibe-coded app the rest of the way to production, or build it right from scratch. In-house engineers, not another prompt.
Vibe coding is building software by describing what you want to an AI tool and shipping what it gives back. Cursor, Bolt, Lovable, Claude, and v0 have made it possible to go from an idea to a clickable app in a weekend, with no traditional engineering team. That part is real, and it is genuinely useful.
The gap shows up later. A prototype that demos well is usually about seventy percent of a product. The missing thirty percent is the part users never see until it fails: authentication that actually holds, input that cannot be abused, a database that does not fall over at a hundred users, error handling, and code organized well enough that the next change does not break three other things. AI tools are good at the first seventy and quietly skip the rest.
"Vibe-code to production" is the work of closing that gap. It means taking an app that runs on your laptop and turning it into software that is safe to put in front of real users, real payments, and real data. Sometimes that is a focused cleanup of what you already have. Sometimes the fastest, safest path is to rebuild the core properly while keeping the parts that work.
We do both. Our in-house engineers have shipped production software since 2018, and we spend a lot of our time now taking AI-built prototypes across the line. Everything below is what actually needs fixing, why these apps break, and how we get yours live without you learning to debug it yourself. If you have paying users, a launch date, or investors watching, that gap is not a someday problem, it is the thing standing between you and a real business.
The demo works. These are the things standing between a prototype and an app you can safely charge money for.
The number one problem with vibe-coded apps. We close auth holes, lock down inputs, stop injection and data leaks, and make sure user data is handled properly.
Explore capability →We reorganize tangled, AI-generated code into something a human can maintain, so the next feature does not break the last three.
Explore capability →Database optimization, caching, and background jobs so the app that felt fast with three test users holds up when real traffic arrives.
Explore capability →Swapping mock data and half-wired APIs for real, reliable connections: payments, auth providers, email, and the tools your product depends on.
Explore capability →Automated tests, a real deploy pipeline, and monitoring so you find problems before your users do, and can ship updates without fear.
Explore capability →Getting a web prototype into a real iOS or Android app and through App Store and Play Store review, a common wall for vibe-coded apps.
See the work →The same areas from above, in depth, so you know exactly what we do to your app and why each part matters.
This is the most common and most dangerous gap in a vibe-coded app. AI tools tend to build the happy path and leave the doors unlocked: authentication that can be bypassed, API keys exposed in the frontend, forms that trust whatever a user types, and database rules that let one account read another's data. None of it shows in a demo. All of it shows the day someone curious, or malicious, arrives.
We go through the app and close these systematically. Proper authentication and session handling, input validation on every entry point, protection against the common injection and access attacks, secrets moved out of the client and into a safe place, and database rules that enforce who can see what. If you are charging money or holding personal data, this is not optional, and it is usually the first thing we do.
If your app touches health, financial, or other regulated data, the bar is higher, and a vibe-coded prototype almost never clears it out of the box. We know where those lines sit and build to them: proper access controls, encryption where it belongs, and a data model that keeps one user's information away from another's. Getting this wrong is not just a bug, it is the kind of thing that ends a young product.
AI-generated code often works and is still a mess underneath: duplicated logic, files that do ten unrelated things, and no clear separation between the parts. It runs until you try to change it, and then a small edit breaks something unrelated across the app. That is the moment most vibe-coded projects stall.
We reorganize the code into a structure a human can reason about, with the pieces separated the way they should be. The goal is simple: you, or whoever you hire next, can add a feature without holding your breath. We keep what works and rebuild only what is holding you back.
The payoff is speed later. Clean structure is not a vanity exercise; it is what lets you ship the next ten features without the app fighting you. Founders are often surprised how much faster development gets once the code stops working against them, and how much cheaper every future change becomes.
An app feels instant with three test users and a nearly empty database. Real usage is different. Queries that were fine on ten rows crawl on ten thousand, pages reload data they should cache, and long tasks block the whole app while they run. We fix the database queries, add caching where it counts, move slow work into background jobs, and make sure the app stays responsive as it grows instead of grinding to a halt on launch day.
The cruel part is that scale problems tend to appear at the worst moment: the day you get featured, the launch you worked toward, the traffic spike you wanted. An app that buckles under its first real crowd does not just lose that moment, it burns the goodwill of every user who showed up. We size the app for the success you are aiming at, not the quiet of a test account.
Prototypes lean on mock data and half-finished connections. A production app needs the real thing: payments that charge correctly and handle failures, authentication through a real provider, email and notifications that actually send, and the third-party tools your product depends on connected properly. We replace the placeholders with reliable integrations, and where an off-the-shelf connector is not enough, we build the middleware ourselves, which is work we do across our client base every week.
Without tests, every change is a gamble and every deploy is done by hand and hope. We add automated tests around the parts that matter, set up a proper deployment pipeline so shipping an update is one safe step instead of a manual scramble, and put monitoring in place so you hear about a problem from a dashboard, not from an angry customer. This is what lets you keep improving the product after launch without breaking it.
A lot of AI tools output a web app, but the plan was an app in the store. Getting there is its own project: packaging the app for iOS and Android, meeting the platform requirements, and passing App Store and Play Store review, which rejects far more first submissions than founders expect. Our team builds and ships native apps, so we take a web prototype through to a live listing rather than leaving you stuck at the last step.
It is not that the AI wrote bad code. It is that shipping a product is a different job from generating one. An AI tool optimizes for giving you something that runs now. It does not carry the context a product needs: the threat model, the edge cases, the load a year from now, the fact that this one field will hold something sensitive. Those decisions are invisible in a prompt and expensive to skip.
So the app demos beautifully and then meets reality: a user does something unexpected, traffic climbs, a real payment fails halfway, someone probes the login. The seventy percent that was easy got you excited. The thirty percent that is hard is the thirty percent that decides whether you have a product or a prototype.
We do not start with a big quote and a leap of faith. We start with an audit: a clear-eyed review of your app that tells you exactly what is broken, what is risky, and what it will take to fix, delivered as a plain report rather than a sales pitch. You can hand that report to anyone. If the smart move is a light cleanup, we say so. If the core needs rebuilding, we tell you that too, and why.
Only after you know the real picture do we scope the work and put a number on it. No mystery retainer, no fear-based upsell. Just what your app needs and what it costs.
Sometimes a prototype is proof that the idea is right and proof that the current build cannot get there. When that is the case, rebuilding the core properly is faster and cheaper than patching around foundations that will not hold. Because we are a full build team, not just a fix-it service, we can do that: take the concept your vibe-coded app validated and ship a real product, keeping whatever parts are worth keeping. You are not forced to choose between an unfixable prototype and starting over alone.
And when we rebuild, the prototype is not wasted. It already answered the hardest questions: what the product should do, what users respond to, and what the screens should feel like. We carry that forward and put a real foundation under it, so you keep the momentum you earned instead of losing months relearning what you already know.
No black box. Here is exactly how an engagement runs, from the first look at your code to a product you can ship and keep improving.
Everything starts with a review of what you have built. We go through the code, the setup, and the way data flows, and we map the real state of the app: the security holes, the architecture problems, the places it will not scale, and the parts that are actually fine. You get this back as a plain report, written to be understood rather than to sell you something. It is yours to keep and to share with anyone, including another developer for a second opinion.
From the audit we build a plan: what needs fixing, in what order, what it will take, and what it will cost. We are honest about the fork in the road here. If a focused cleanup gets you to production, that is what we recommend, and we will not pad it. If the foundation cannot hold what you are building and a rebuild is the cheaper path over the next year, we say that plainly and show you why. You decide with the full picture in front of you.
Once you approve the plan, we work in stages rather than disappearing for a month. Security and the highest risks usually go first, because those are the things that can hurt you today. Then architecture, scale, integrations, and the rest, each shipped and shown to you as it lands. You see progress the whole way and can steer it, instead of hoping the final delivery matches what you pictured. Your app stays usable throughout.
When the work is done, we do not just hand back a repository and wish you luck. The code is organized and documented, there are tests around the parts that matter, and there is a deploy pipeline so shipping an update is one safe step. If you have your own developer or plan to hire one, they can pick it up without reverse-engineering a mystery. If you would rather we keep improving it, we can stay on. Either way, you own a product you understand, not a prototype you are afraid to touch.
The common thread: an AI-built app that is close, and a real need for it to work in front of real people.
You built something impressive without writing code, and now you have paying users or investors waiting and no way to make it solid yourself. We become the engineering team you do not have, so your idea does not die at the prototype stage.
You could do this yourself, but every hour on hardening and cleanup is an hour not spent on customers and growth. We take the production work off your plate so you can stay on the parts only you can do.
You sold a client on an app, shipped a fast AI-built version, and now it needs to be real. We finish it white-label, behind your brand, so you deliver a production product without building an engineering department. This pairs naturally with our white-label fulfillment work.
Someone left, or a contractor vibe-coded the first version and moved on, and now the app is yours to keep alive. We audit what you have, document it, and get it to a state your team can actually run and extend.
A weekend prototype does not need a production team. Reach out when the app has to stand up to real users, money, or data.
You have users or customers waiting, and the app is not safe to charge them yet.
You're worried it isn't secure, and you're handling logins, payments, or personal data.
Every change breaks something else, and you're scared to touch the code.
It works on your laptop but falls over, slows down, or errors when more than a few people use it.
You need it in the App Store or Play Store and keep hitting the wall.
Yes. Those are exactly the tools our clients build with. We work with what the AI generated, whatever the stack, and take it to production. We do not need you to have written it a particular way.
Usually not, at least not yet, and that is normal. AI tools tend to build the happy path and skip auth hardening, input validation, and safe data handling. If you're holding logins, payments, or personal data, a security review should come first. That is where we start most engagements.
Yes. We package web prototypes into real iOS and Android apps and take them through store review, which rejects more first submissions than most founders expect. Our team ships native apps, so this is routine work for us.
Whichever is the right call, and we tell you honestly after the audit. Often a focused cleanup is enough. Sometimes rebuilding the core is faster and cheaper than patching weak foundations. Because we're a full build team, we can do either and keep the parts worth keeping.
With an audit. We review the app and give you a plain report of what's broken, what's risky, and what it takes to fix, before any big commitment. You can hand that report to anyone. Only then do we scope and price the work.
It depends on what the audit finds. A security-and-cleanup pass is priced very differently from a core rebuild. We scope to the actual work rather than a flat rate. Book a call and we'll point you at the likely range for your situation.
A focused audit is quick, often a few days. Hardening and cleanup usually run a couple of weeks depending on the app; a rebuild takes longer. We ship in stages so you see progress early rather than waiting for one big reveal.
That's the point. We reorganize the code so it's readable, document how it works, and hand it over in a clean state with tests and a deploy pipeline. You or your next hire can run and extend it without reverse-engineering our work.
Send us what you built and where it's stuck. We'll audit it, tell you exactly what it needs, what it costs, and how fast we can ship it.