Is your AI-built app production ready? A practical way to check
You built something with AI, it works on your machine, and real users are about to touch it. The honest question is whether it is actually ready, and the honest answer is that shipping fast and shipping safely are not the same skill.
Roughly 84% of developers now use AI coding tools, yet close to 46% say they do not trust the output. Independent research keeps finding that around 45% of AI-generated code ships with a known security weakness. Production readiness is exactly where that distrust lives, so let us make it concrete.
What production ready actually means
Production ready is not a feeling. It means you can point at evidence for a short list of things that decide whether real traffic will hurt you. Here is the list we use.
Security basics are in place
- HTTPS is enforced everywhere, with modern TLS and sane security headers.
- Authentication and access control actually stop a user from reaching another user's data.
- Secrets live in environment configuration, not in the codebase or the client bundle.
- No known-vulnerable dependencies are shipping in your build.
It fails safely
- Errors are handled and logged, and they do not leak stack traces or internal details to users.
- A health check exists so you find out something is down before your users do.
- You have a rollback path, so a bad release is one step back rather than an outage.
You can recover
- Data is backed up, and you have actually restored from a backup at least once.
- You know what happens under load, not just what happens with one user clicking slowly.
The trap with AI-built apps
AI writes plausible code quickly, and plausible is the problem. It will happily produce an auth check that looks right and is missing the one condition that matters, or pull in a package with a known flaw because it was common in the training data. The code reads as finished long before it is safe, which is why so many AI-built apps feel done and are not.
The fix is not to distrust every line. It is to check the short list above against evidence instead of against your confidence.
Check it in a few minutes
We built a free self-assessment that walks you through these questions and gives you a scored result you can act on. It is a fast way to see where you stand before you point anything heavier at your app.
When you want evidence rather than a self-assessment, StackAttest connects to your live app or your repository, checks the same controls against the real thing, and turns the result into a Passport you can share.
Frequently asked questions
How do I know if my AI-built app is production ready?
Check a short list of evidence-based controls: enforced HTTPS and security headers, working authentication and access control, secrets kept out of code, no known-vulnerable dependencies, safe error handling, a health check, a rollback path, and tested backups. If you can show evidence for each, you are close to ready.
Why are AI-built apps often not production ready?
AI generates code that reads as finished before it is safe. It can produce authentication checks that look correct but miss a condition, or include dependencies with known vulnerabilities. The code feels done, so the security and reliability work gets skipped.
Is there a free way to test production readiness?
Yes. StackAttest offers a free scored self-assessment that walks through the key production-readiness questions, and a free validation of a live URL that gathers real evidence.