Fix a Vibe-Coded App That Is Already in Production
Security holes, silent bugs, and stacked debt show up once a vibe-coded app has real users. Book a scope call and we'll quote a fixed repair.
A vibe-coded app is software built by describing the product to an AI agent and shipping what comes back. The demo works for the person who prompted it. The failures start when a second user, a real card, or the next feature shows up.
What breaks in a vibe-coded app
Four failures show up in apps built with Cursor, Claude Code, Lovable, Bolt, v0, and tools like them.
Security. A 2026 study collected 9,041 apps built with Claude Code and Lovable, then audited 200 that were publicly deployed. It found 1,186 vulnerabilities. 91% of those deployed apps had at least one. 65.77% of the findings were Critical or High. Broken access control was in 64% of the apps, injection in 54%, and authentication failures in 51.5%. The write-up is Understanding the (In)Security of Vibe-Coded Applications.
Behavior that is wrong and does not crash. Columbia's DAPLab reviewed Cline, Claude, Cursor, Replit, and v0. The most common serious failures were error handling and business logic: the screen loads, and the booking, charge, or permission is still wrong. Agents treat a requirement as a preference. Why Vibe Coding Fails and How to Fix It.
Debt nobody reviews. A study of 304,362 AI-authored commits across 6,275 GitHub repositories attributed 484,606 issues to those commits. 89.1% were code smells. More than 15% of commits from every assistant introduced at least one issue, and 24.2% of the tracked issues were still present at the latest revision. Debt Behind the AI Boom.
An agent holding production credentials. PocketOS reported that Cursor, running Claude Opus 4.6, deleted a Railway volume during a staging task. The call took nine seconds. Backups lived on that volume, so production data went with them. Computing's account of the outage.
Each failure has its own note:
- Vibe coding security vulnerabilities in deployed apps
- AI-generated code technical debt
- When an AI-generated app breaks in production
- When an AI coding agent deleted a production database
How it shows up once people use it
The path you demoed still works. A second account can read the first account's rows. A webhook accepts a body that did not come from Stripe, so a charge exists in Stripe and nowhere in your database, or it exists twice. One edit to a screen breaks checkout. The next prompt repairs checkout and breaks the screen you just fixed.
A published set of rescue notes described a marketplace that processed more than $200,000 through a webhook that never checked signatures. About 15% of successful payments were missing from the database. Rebuilding that pipeline cost about $15,000. The write-up is here. Test-mode charges succeed, so this stays quiet until live cards, retries, refunds, and disputes.
Red Hat's February 2026 piece describes the same wall a few months in: one small change breaks four other features, the prompt that fixes those breaks something else, and the original intent lives only in a chat that nobody kept.
What to check before the next feature
Fix in the order that can hurt a user. A new feature on top of an open admin route adds to the repair.
- Security. No secret in frontend code, and any key that shipped there gets rotated. Authorization on every route and query that touches a user's data, tried with two accounts. Input checked on the server.
- Data. Migrations live in the repo. Backups live somewhere other than the disk an agent might delete. Someone has restored one.
- Payments. Webhook signatures are verified. A retry cannot create a second order. Refunds and failed charges have a path.
- Reliability. Failures land in a log a person looks at. A deploy can be rolled back. The query that got slow has an index.
- The mess. Duplicated handlers, dead files, and tests an agent weakened so the suite would pass. The ACM TechBrief on vibe coding notes that agents have been observed changing, disabling, or removing tests instead of fixing the code.
If this is your app, send the repo.
A 30-minute scope call. We read what is live, name what is dangerous, and quote a fixed scope.
How Techtribe takes it from here
On the scope call we look at the repo and the live app and say what is dangerous. You leave with a fixed scope and a price. If none of our packages fit, we say so on the call.
When the core flow works, the repair is the paths that can leak data, lose money, or fall over. A rewrite waits. When auth was never real, the data model cannot be migrated, or the product needs production architecture, the honest scope is a Production MVP or a Dedicated Team on your repo. Prices and what each includes are on the packages page.
Public proof of how we build is FlowGen Labs, agents running inside SAP, and deal.ai, a platform with 75+ AI tools. Those were scoped production engagements. A repair is scoped the same way: your repo, a defined outcome, a ship date.
Questions
Can you fix a vibe-coded app without rewriting it?
Often, yes. The first pass checks auth, data access, secrets, payments, and the paths users actually take. We quote a fixed scope for what is dangerous and leave a working feature alone.
What should I send before the scope call?
The repo, the live URL, and where it hurts: a payment that does not match Stripe, an endpoint another user can call, or a small change that keeps breaking other screens.
What happens on the scope call?
Thirty minutes with a founder. We tell you what is dangerous, which package fits, or that none does. Nothing is billed for the call.
Which package covers a repair?
There is no separate rescue price. After the call we quote a fixed scope. A Production MVP or a Dedicated Team is the fit when the product needs more than a repair.