Quick answer
An AI-built app can look finished as a demo while still being unsafe or unreliable for real users. Production readiness means reviewing the parts that demo flows often skip: auth, data access, storage, deployment, environment separation, and the assumptions hidden in AI-generated code.
Why this happens
AI builders optimize for visible progress. They can produce screens, flows, and database calls quickly, but they may not preserve boundaries between users, environments, roles, files, or deployment targets. The goal is not to fix one bug. The goal is to decide whether the app can launch, needs a narrow fix, needs migration, or should be rebuilt before production.
What to check first
- Auth works beyond the happy path, including redirects, sessions, roles, and expired users.
- Dashboard data belongs only to the signed-in user or permitted team.
- Supabase RLS policies exist and are not too broad.
- Storage files cannot leak across users or tenants.
- Environment variables are separated between development, preview, and production.
- Vercel previews do not touch production data by accident.
- AI-generated code does not rely on hardcoded demo assumptions.
- There is a staging and migration discipline before real users arrive.
What not to do
- Do not launch because the demo looks complete.
- Do not let AI keep patching production-facing auth, database, or storage rules without a review.
- Do not test risky permission changes against production data.
- Do not bypass RLS or move sensitive checks only into the frontend.
- Do not mix preview, staging, and production secrets.
Safe next step
Request a structured review before launch. The review should identify the production risk layer, what should not be changed next, and whether the safer path is fix, migrate, rebuild, or launch.
Get a Production Readiness Review
FAQ
Is this a security audit?
No. It is a production risk review, not a certified security audit or legal compliance assessment.
Can an AI-built app be safe to launch?
Sometimes, but only after the critical boundaries are checked and the risks are understood.
What if the app already has users?
Avoid broad AI rewrites. First identify which production risks are active and what should not be touched.
Do I need to share the full repo?
No. Start with the app context, stack, main concern, and links that are safe to share.