I built my app withLovable/Cursor/Bolt. Is it production-ready?
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Our take
Usually not yet, and that's normal. AI tools are built to make an app that works in a demo, not one that's safe for real users, payments, and data. Before you launch, check seven things: authentication, data security, tests, error handling, scalability, code structure, and dependencies. Most vibe-coded apps pass two or three.
This answer covers
- Vibe coding
- AI-generated code
- Production readiness
If your app runs, clicks through, and looks finished, that’s a real milestone, but “it works on my screen” and “it’s safe for a thousand strangers and their data” are different bars. AI coding tools optimize for the first. Closing the gap to the second is where most of the work lives.
The Seven checks that decide it
- Authentication and access: Can users only see their own data? Weak or missing auth is the most common vibe-coded flaw.
- Data security: Are secrets and API keys server-side, not exposed in the frontend? Is sensitive data encrypted?
- Tests: Is there anything that catches a break before your users do? Vibe-coded apps almost never have tests.
- Error handling: Does it fail gracefully, or show a blank screen when something goes wrong?
- Scalability: Will it hold up at 10x the users, or does the database buckle?
- Code structure: Can another engineer safely read and change it, or is it a black box?
- Dependencies: Are the packages current and free of known vulnerabilities?
What to do with the result
If you pass most of these, you likely need hardening, not a rebuild. If you fail the majority, especially auth and data security, treat the app as a validated prototype: the idea is proven, but the foundation needs professional work before launch. That’s a good position to be in. You’ve de-risked the concept cheaply and now know exactly what to invest in.
Key takeaways
- Most vibe-coded apps are demo-ready, not production-ready, and that's expected.
- Seven checks decide it: auth, data security, tests, error handling, scale, structure, dependencies.
- Missing authentication and exposed secrets are the most common and most serious gaps.
- Passing most checks means hardening; failing most means a validated prototype needing a solid foundation.
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