Vibe Coding Rescue: 10 Things to Fix Before You Launch an AI-Built App
A practical pre-launch checklist for apps built with Cursor, Lovable, Bolt, Replit or Claude Code.
Read articleAI tools get you a working demo remarkably fast. The gap between a demo and a product people can trust with their data and payments is where most AI-built apps stall — and where an experienced engineer earns their keep.
Vibe coding rescue is taking an app built mostly with AI coding tools — Cursor, Lovable, Bolt, Replit, v0 or Claude Code — and making it safe, stable and maintainable enough for real users: auditing the code, fixing security and data problems, adding tests and deployment, and handing it back with documentation.
A written review of the codebase, data model and infrastructure, with every finding ranked by severity.
Authentication, authorisation, secret handling, input validation and dependency checks — the places AI-generated code most often cuts corners.
Safe database design, migrations and backups, and payment and webhook logic that survives real-world edge cases.
Automated regression tests, error handling and logging so changes stop breaking things silently.
Separate environments, CI/CD, rollbacks and alerting so releases are routine rather than risky.
Documentation, a runbook and a walkthrough, so your team or ours can keep building with confidence.
Users able to read or change each other’s data because checks exist only in the browser.
API keys and tokens committed to the repository or shared between staging and production.
Checkout works in a demo but mishandles failed payments, webhooks, refunds or subscription state.
Every change risks breaking something else, and nobody can tell until a customer does.
Half-wired features, dead code and copy-pasted logic that no one fully understands.
No environments, backups, monitoring or rollback plan, so a bad release means downtime.
Most AI-built apps can be saved, but not all. This is how we decide.
| Rescue (keep and harden) | Rebuild (start again) | |
|---|---|---|
| When it fits | The structure is sound and the problems are fixable: security, missing tests, unfinished features. | The data model or architecture is fundamentally wrong and every fix would fight it. |
| What you keep | Your product, your design and the working code. | Your requirements, design and learnings, not the code. |
| Typical outcome | Faster and lower-risk to reach production. | A cleaner foundation, at the cost of more time and budget. |
We review the code, architecture and hosting, and give you a prioritised written report.
We decide with you what to keep, what to fix and what genuinely needs rebuilding — fixing is not always the answer, and neither is a rewrite.
We fix the critical issues first, complete unfinished features and add automated tests around what matters.
Production deployment, monitoring and documentation. You keep the code and the knowledge.
Usually not without review. These tools are excellent at producing a working prototype, but the code typically needs security, error-handling, testing and deployment work before it should hold real customer data or payments.
Most of the time rescue is faster and cheaper because the design and working features are kept. Rebuild makes sense only when the data model or architecture is fundamentally unsound. We tell you which it is after the audit — before you commit to the bigger piece of work.
With an audit. We review your repository, architecture and hosting and give you a written, prioritised report. You can use it to fix things yourself, hire us to do the work, or do both.
Weak or missing access control, exposed secrets, fragile payment and webhook handling, no automated tests, unfinished or duplicated code, and no safe way to deploy or roll back.
Yes — Cursor, Lovable, Bolt, Replit, v0, Claude Code, GitHub Copilot and others. We work from your repository, so the tool that produced the code does not matter.
Yes. You keep ownership of the code and the product. We can work under a mutual NDA before you share a repository.
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