Insights
Cleanup of a vibe-coded app is four jobs, not one. What each involves, which providers cover which, and the questions to ask before you hire. A vibe code cleanup specialist takes an app built with AI tools such as Lovable, Bolt, Replit or Cursor and makes it safe to put real users and real data through.
What does a vibe code cleanup specialist do?
Last reviewed September 29, 2026.
A vibe code cleanup specialist takes an app built with AI tools such as Lovable, Bolt, Replit or Cursor and makes it safe to put real users and real data through. In practice that is four jobs: lock down data and access, stabilize the code, settle the product decisions the demo skipped, and set up how the app is run.
Providers differ in which of the four they do well. The useful question when you hire is less "who fixes vibe code?" and more "which of these jobs does my next step depend on, and who is good at that one?"
The title itself is new. It spread as a half-joke on LinkedIn in 2025 before becoming a real line of work, as 404 Media reported in September 2025. Indeed's description of the role covers fixing bugs, removing bloat, finding bottlenecks and security risks, and making the app production-ready. That is accurate, but it bundles very different kinds of expertise under one name.
The four jobs inside "cleanup"
| Job | What it covers | Signs you need it |
|---|---|---|
| Secure | Who can read and change which data; secrets and API keys; sign-up and login paths; payment handling. | Real customer data, payments or personal records are going into the app, or soon will be. |
| Stabilize | Structure, duplicated logic, dependencies, tests, performance. Making the code safe to change. | Fixing one thing breaks another. Nobody, including the AI tool, can change a feature without side effects. |
| Specify | The product behavior the demo never needed: roles and permissions, empty and error states, interrupted work, what happens when two people act on the same record. | The happy path works, but you cannot say what should happen when something goes wrong. Developers keep asking you questions you have not answered. |
| Operate | Separate development and production data, backups, deployment, monitoring, and who owns them. | The app is live, or about to be, and there is no tested way back if data is lost. |
The order matters less than people expect. Security is urgent if real data is exposed today. But specification quietly decides how clean the rest stays: an engineer who meets an undefined rule, such as who may approve a refund, will write something. If nobody decided it, the code now holds a product policy no one chose.
Why a working demo hides this work
A demo only has to work for the person showing it. Most of the four jobs concern everyone else: other users, attackers, the next developer, the day something fails. The public record shows what that gap looks like.
Access rules are the most visible failure. In 2025 a researcher, Matt Palmer, scanned 1,645 Lovable-built projects and reported 170 whose databases could be read without logging in, exposing data including names, emails, API keys and payment details. It was recorded as CVE-2025-48757. Lovable disputes the classification: the record notes its position that each customer is responsible for protecting their own app's data. Both things can be true, and that is the point. The platform generated the app; the responsibility sits with you. The underlying mechanism is general to apps built on Supabase, whose documentation states that a table in an exposed schema without row-level security is readable and writable by any role with a grant on it.
It is not one platform. Security firm Escape analyzed about 5,600 publicly available apps built on Lovable, Base44, Create.xyz, Vibe Studio and Bolt.new and reported more than 2,000 vulnerabilities, more than 400 exposed secrets and 175 instances of exposed personal data. Separately, Wiz found a flaw in the Base44 platform itself that let an outsider register on private apps using only a non-secret app ID; Wix fixed it within 24 hours and found no evidence of exploitation. That second case is a platform bug, not a builder's mistake, which is why a cleanup review should check the platform's defaults as well as your own settings.
The broader evidence points the same way, though it measures something narrower. Veracode tested code from more than 100 language models on security-relevant coding tasks and found 45% of the samples failed its security tests, with no improvement in newer or larger models. Those were controlled tasks, not whole apps. A large study of AI-authored commits in open-source repositories found more than 15% of commits from each assistant studied introduced at least one detectable issue, mostly maintainability problems rather than security ones, and 22.7% of those issues were still present at the latest version. That is the "stabilize" job in numbers. For context, broken access control is first in the OWASP Top 10:2025, the standard list of web application security risks, so the pattern is not unique to AI-built apps. AI tools make it easier to ship without anyone having checked.
Operations fail differently. In July 2025, Replit's agent deleted a production database during a declared code freeze for SaaStr founder Jason Lemkin, then said rollback would not work. The data was recovered, and Replit's CEO announced automatic separation of development and production databases in response. The lesson for anyone hiring help: the first thing a specialist protects is your data, before changing any code.
And some of the work is product work. One Fiverr-based fixer told 404 Media that the problems he helps companies with include inconsistent UI and UX in AI-generated frontends and features that function but feel clunky, as Gizmodo summarized. That is a design problem wearing a code problem's clothes.
Who can fix a vibe-coded app?
There are five kinds of provider, and each fits different jobs. The table is our assessment of where each is typically strongest, not a ranking.
| Provider | Usually strongest at | Check before hiring | Often outside their scope |
|---|---|---|---|
| Freelance fixer (freelance marketplaces and specialist fixer networks) | A known bug, a broken feature, a bounded fix. | Experience in your exact stack (for example Supabase, Next.js). Whether they work in a repository you own and leave notes. | A whole-app assessment, product decisions, ongoing ownership. |
| Platform partner (the experts and partners a builder platform recommends) | Continuing to build and fix inside the same tool. | Their security experience, and whether they will tell you when the app should leave the platform. | An independent view of the platform's own limits. |
| Software development agency with a cleanup or rescue offer | Refactoring, tests, architecture, migration off a builder, continued development. | Whether they assess before quoting a rebuild. | Formal security testing; sometimes the product decisions. |
| Security specialist or penetration tester | Proving who can reach which data, and retesting after fixes. | That they test with real accounts at different permission levels, not only a scanner. | Writing the fixes; product behavior. |
| Product design and engineering studio | The "specify" job: roles, states, permissions, recovery, and a build brief developers can work from. | Whether they separate what the demo proved from what it only simulated. | A code-quality or security audit, unless they say otherwise. |
Automated scanners belong alongside these, not instead of them. Lovable now offers quick and deep security scans, and its own documentation says the tools "cannot guarantee complete security" and suggests a professional security review for apps handling sensitive data. That is a reasonable, honest line, and it is the same one you should expect from any human specialist: a clear statement of what they checked and what they did not.
If your app handles money, health or financial records, or other people's personal data, you will probably need two of these providers, not one. Someone who secures and someone who stabilizes or specifies are different skills.
Questions to ask before you hire
Use these whichever kind of provider you are talking to. The answers matter more than the job title.
- [ ] What will you give me before you quote the fix? Look for a written assessment with a keep, fix or rebuild verdict for each part, and a reason for each. A full rewrite quoted before anyone has looked is a warning sign.
- [ ] How will you prove each user can see only their own data? Look for tests with two or more real accounts at different permission levels. "Row-level security is switched on" is not the same as "the rules block the wrong person."
- [ ] What happens to my live data while you work? Look for a backup first, work in a separate environment, and no production changes without your approval.
- [ ] Which keys and secrets will you rotate, and how do I get my access back afterward? Anything that was ever in frontend code or pasted into a chat should be treated as exposed.
- [ ] Will you add tests around what already works before changing it? Otherwise you cannot tell a fix from a new break.
- [ ] When you find behavior nobody defined, who decides? Look for someone who brings the question to you with options, not someone who quietly picks.
- [ ] What do I own at the end? The repository, the documentation, deployment access and the list of what is still open.
- [ ] What is outside your scope, and who should cover it? A specialist who can name their limits is easier to trust than one who claims all four jobs.
What to have ready before the first conversation
- [ ] Where the app is heading next: paying customers, an investor demo, handing it to an in-house team. The destination decides which gaps matter first.
- [ ] Who uses it and in what roles: admin, team member, customer, anyone who should see only part of the data.
- [ ] What is real and what is simulated: sample data, mocked payments, features that only work on the happy path.
- [ ] The code somewhere you control, such as a repository export, if your tool allows it.
- [ ] A list of what already hurts: the bug that keeps returning, the screen users misunderstand, the change you are afraid to make.
You can work through many of the product questions yourself first with the free Prototype Hardening Checklist. It takes about half an hour and will tell you whether a review is worth commissioning at all. It does not check security or code quality.
Hiring a vibe coder is a different job
A search for "hire vibe coder" points to a different hire: someone to build faster with AI tools. Freelance marketplaces now list vibe coders as a category. That is a reasonable hire when the product decisions are settled and you need more of it built.
A cleanup specialist is judged differently: by what they decide not to keep, by what they refuse to ship without checking, and by how well the next person can understand what they leave behind. If the app is already fragile, adding a faster builder adds more of the same. Clean up, or at least assess, first.
Where Tcules fits
Tcules is a digital product design studio, so our place in this list is the "specify" job. When the product needs it, Design Engineering and Software Development can take that work further into working software. The AI Prototype Readiness Review looks at an AI-built prototype and separates what it genuinely established from what it only made plausible, then names the product decisions, such as roles, states, permissions and recovery, that a development team would otherwise have to guess. The review page sets out what it covers and what you receive.
It is not a code-quality or security audit. Where your app needs one, the review says so, and you should hire a security specialist for it. If you already know you want a team to take the cleanup on, the review above is the place to start.
For the wider picture, prototype hardening describes the gap between a demonstration and real use, accepting AI-generated frontend code covers what to check before merging it, and UX debt names what accumulates when nobody makes these decisions.