Leaked Secrets and Keys
API keys, database credentials and payment secrets moved out of front end code and repositories, then rotated so the old ones stop working.
AI built it. Engineers finish it.
Vibe Coding Cleanup Specialist in Miami
AI coding tools can get an app about 80 percent of the way there in a weekend. The last 20 percent is where real users, real data and real money show up, and that is where vibe coded apps tend to break. As a vibe coding cleanup specialist, Neon Manatee audits the code, closes the security holes, adds the tests and ships a version you can trust on iOS, Android, Windows, macOS, the web or AR and VR.
The last 20 percent
Why Vibe Coded Apps Break After the Demo
Tools like Lovable, Cursor, Bolt, Replit and v0 are genuinely impressive. A founder with no engineering background can describe an idea, watch screens appear and click through something that looks like a finished product by the end of the day. That speed is real, and we would never tell anyone to stop using these tools for prototyping. The trouble starts when the prototype quietly becomes the product, and people begin signing up, paying and trusting it with their information.
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The code an AI model writes is optimized to make the current request work, not to hold up under pressure. It will happily put an API key in front end code where anyone can read it, skip the server check that stops one user from reading another user's records, or create a database table with no rules about who can query it. Each prompt patches the symptom in front of it, so the same logic ends up copied in five places with five slightly different bugs. Nothing has tests, so every fix risks breaking something that worked yesterday.
Those problems rarely show up in a demo. They show up when you get your first hundred real users, when a payment fails halfway through, when someone discovers they can change a number in the URL and see another customer's order, or when a deploy goes out and the app simply stops loading. By then the AI assistant that built the app is going in circles, confidently rewriting files and making things worse with every attempt.
That is the moment you need a vibe code fixer with an engineer's judgment instead of another prompt. Our team reads the code the way a senior developer would on a new job: we map how data flows, find where trust is assumed instead of verified and work out which problems put your users at risk today and which are just untidy. Then we fix them in a sensible order, with tests that prove each fix works and keeps working.
We do this across every platform the AI tools can target. A web app generated in Lovable, a React Native app scaffolded with Cursor, an Electron desktop app, a Swift project started in an AI editor or a prototype for AR and VR headsets all get the same treatment. The goal is not to throw away what you built. In most cases the AI got the shape of the product right, and our job is to make the inside match the outside.
src/api/orders.ts
- const KEY = "sk_live_51H..."
+ const KEY = process.env.PAYMENTS_KEY
export async function getOrder(id) {
+ if (!session.canRead(id)) throw forbidden()
return db.orders.find(id)
Review: 14 issues found, 14 fixed
What we fix
The Problems a Vibe Coding Cleanup Solves
These are the failures we look for first in every AI code fix, because they are the ones that hurt users, leak data or stop the app from shipping.
Missing Auth and Permissions
Server side checks and database rules so every request proves who the user is and what they are allowed to see or change.
Tests Where There Were None
Automated tests on sign up, checkout, data changes and other paths that would cost you money or trust if they broke.
Database and Scaling Repairs
Proper schemas, indexes, migrations and queries that stay fast when the table has a million rows instead of ten.
Duplicated, Tangled Code
The same logic consolidated into one place, dead code removed and naming that lets the next developer understand it.
Broken Deploys
Repeatable builds, separate staging and production environments, monitoring and a deploy process that does not depend on luck.
Rescues for South Florida
Code Rescue for South Florida Founders and Teams
Miami has become a real home for founders, and a lot of them are building first versions with AI tools. A two person startup in Wynwood can ship a marketplace prototype without hiring a developer, and a Brickell fintech team can stand up an internal dashboard in an afternoon. That is a healthy thing for the local scene. It also means a growing number of South Florida companies are running production software that nobody on the team fully understands.
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Established businesses are in the same position. An operations manager in Doral builds a dispatch tool in Replit, a Coral Gables practice uses Bolt to put together a client intake portal, or a Fort Lauderdale marine company asks Cursor to build a booking app over a slow season. These tools solve real problems until they meet sensitive data, a compliance question or a spike in traffic. A software project rescue at that point is usually far cheaper than a ground up rebuild, and much cheaper than a data breach.
We work with teams across Miami-Dade and Broward, and because the work happens in your code repository rather than in a conference room, we take on rescues from anywhere in Florida and across the United States. Most projects run fully remote. You share access to the code, hosting and database, and we report back with findings in plain language that a non-technical founder can act on.
Many South Florida apps also serve bilingual audiences, and AI generated code often hard codes English text into dozens of components. Part of a cleanup can be moving that text into a proper translation setup so adding Spanish, or any other language, is a configuration change rather than a rewrite.
How a rescue works
From Code Audit to a Hardened Deploy
Every rescue follows the same order of operations, so the most dangerous problems are closed before anything else changes.
Typically days 1 to 5
Code Audit
We read the codebase, database rules and hosting setup, run a security code review and document every risk we find.
Right after the audit
Prioritized Fix Plan
You get a ranked plan: what must be fixed before anyone else signs up, what should follow and what can wait.
In focused batches
Fixes
We close security holes first, then repair data, logic and structure, keeping the parts of your app that already work.
Alongside every fix
Tests
Automated tests cover the paths that matter, so each fix is proven and future changes cannot quietly undo it.
Final step
Hardened Deploy and Handoff
Staging, production, monitoring and backups set up properly, with documentation and a walkthrough of what changed.
Why Neon Manatee
Engineers Who Respect What the AI Built
Some developers look at an AI generated codebase and immediately quote a full rebuild. Sometimes that is the right answer, and we will say so plainly when it is. More often the product decisions are sound and the screens are close to right, and what is missing is the engineering underneath. We fix that layer and keep the rest, which protects both your budget and the momentum you already have.
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We are also an AI first team ourselves. AI coding tools have recognizable habits: where they cut corners on validation, how they handle authentication with services like Supabase and Firebase, why they duplicate components instead of reusing them. That familiarity makes our code audit services faster and more precise than a generic review.
Because Neon Manatee is the openly stated sister brand of Best Website Builder Group, the same team, playbook and pricing stand behind every rescue. You can see prices before you buy, and your engineers engage with you after checkout instead of a salesperson working you through a pipeline.
Finally, you leave with something you can maintain. A cleaned up codebase, real tests, a written summary of the architecture and a repeatable deploy mean you can keep building with AI tools afterward, this time on a foundation that will not collapse the next time you prompt it.
- Security problems fixed first
- Your working features kept
- Tests on the paths that earn money
- Repeatable, monitored deploys
- You own the code and accounts
Before you ship
How to Tell if Your AI Built App Is Ready for Real Users
Start with secrets. Open your app in a browser, view the source and search the bundled JavaScript for words like key, secret and token. If a payment, email or database key appears there, anyone who knows where to look can use it at your expense. This is the single most common problem in vibe coded apps, and it takes about five minutes to check.
Next, test permissions with two accounts. Sign in as one user, create a record and note its address or ID. Then sign in as a second user and try to open that same record directly. If it loads, your app is trusting the browser to hide data instead of the server to protect it. In apps built on hosted databases, the same problem often hides in row level security policies that were never turned on.
Then look at what happens when things go wrong. Submit a form with empty fields, pay with a declined test card, lose your connection halfway through a save. Well engineered software fails gracefully and leaves data intact. AI generated code often assumes every request succeeds, so a single failure can leave half written records or charge a customer without completing their order.
Finally, ask how a change gets to production. If the honest answer is that someone prompts the AI, clicks deploy and hopes, there is no safety net. A staging environment, automated tests and the ability to roll back a bad release are what separate a prototype from a product.
If any of these checks fail, you are not alone, and it does not mean the idea or the work was wasted. It means the app is ready for the engineering half of the job, which is exactly what a vibe coding cleanup is for.
What is a vibe coding cleanup specialist?
It is an engineer who fixes software built mostly by prompting AI coding tools. The work covers a code audit, a security code review, fixing authentication and data rules, adding tests, cleaning up duplicated code and setting up a deploy process that holds up in production.
Which AI tools do you clean up after?
We work on code generated by tools like Lovable, Cursor, Bolt, Replit, v0, Windsurf, Claude and ChatGPT. The tool matters less than the patterns it leaves behind, and we know those patterns well.
Which platforms do you support?
Web apps, iOS and Android apps, Windows and macOS desktop apps, and AR and VR projects. If an AI tool generated it and it runs on a screen, we can usually work on it.
Will you rebuild my app from scratch?
Only if the audit shows that fixing it would cost more than rebuilding. In most cases we keep the screens and product logic that work and repair the engineering underneath, which is faster and cheaper.
How much does a vibe code fix cost?
Rescues are priced in our online app estimator with the This is a rescue option checked. Floors start at $1,200 per platform for simple apps, $15,000 for logic heavy apps and $25,000 for complex and secure apps, with 30 percent down at checkout.
What if my project is larger than that?
Estimates above $60,000 start with a conversation with a senior strategist instead of going straight to checkout, because a rescue that size deserves a proper scoping discussion.
What do you need from me to start?
Access to the code repository, the hosting account and the database, plus a short description of what breaks and when. Screenshots, error messages and the prompts you used are helpful but not required.
Can I keep using AI tools after the cleanup?
Yes, and many clients do. We document the structure and add tests, so when you or an AI assistant make changes later, broken behavior gets caught before it reaches your users.
Is legacy code modernization part of this?
It can be. If your AI generated app sits on top of older systems, or you used AI to bolt features onto an aging codebase, we can modernize the older parts in the same project so the whole stack is maintainable.
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