AI coding tools can get an app from idea to demo fast. Launching is different.

Before you put an AI-generated or AI-assisted app in front of real users, audit the boring parts: secrets, auth, database rules, builds, forms, monitoring, backups, and rollback.

That is the difference between “it works on my machine” and “I can safely share this with people.”

This checklist is for apps built with tools like Cursor, Claude Code, Lovable, Bolt, v0, Replit Agent, Copilot, Codex, or any workflow where AI wrote a meaningful chunk of the code.

The goal is not perfection. The goal is to know what is safe, what is risky, and what you are intentionally deferring.

If you are still learning what vibe coding means, start with What Is Vibe Coding?. If your app is already almost ready to ship, use this audit before you post the link.

Scope

This is a launch-readiness audit, not a formal security certification or a guarantee that nothing will break. Use it to catch common AI-coding mistakes before users, clients, payments, or production data are involved.

When to run a launch audit

Run this audit before:

  • sharing a public app URL
  • collecting real user data
  • enabling payments
  • publishing a client project
  • connecting a production database
  • running paid traffic
  • using the app as portfolio proof
  • asking strangers to test it

If the app only runs locally with fake data, keep building. If users, clients, leads, payments, credentials, or production data can touch it, audit it.

Vibe-coded apps often look finished before they are actually ready. That is why so many AI-built demos break when they hit production. I wrote more about that in Why Vibe-Coded Apps Break in Production, but the short version is simple: AI tools are good at building visible features and weaker at remembering all the invisible launch details.

If you want a broader preflight list after this audit, pair it with the Vibe Coding Deployment Checklist. The deployment checklist is about getting the app online cleanly. This launch audit is about whether sharing it is actually safe.

This audit is for the invisible stuff.

1. Write down what the app actually does

Before checking code, write a short launch note.

Use this format:

App:
Users:
Core flows:
Data collected:
External services:
Failure risks:

Example:

App: Appointment request form
Users: website visitors and business owner
Core flows: visitor submits request, owner receives email, request is saved
Data collected: name, email, phone, service type, message
External services: Supabase, Resend, Vercel
Failure risks: email fails, database rule exposes requests, spam submissions

If you cannot explain the app this clearly, the app is not ready for launch.

That sounds harsh, but it is useful. A launch audit depends on knowing what the app is supposed to protect. You cannot audit “a dashboard” or “a SaaS thing.” You can audit user data, forms, admin pages, payments, uploads, API keys, and deployment paths.

2. Check secrets and environment variables

Secrets are one of the easiest places for AI-coded apps to go wrong.

Before launch, check that:

  • no API keys are committed to Git
  • .env files are ignored
  • production secrets are set in the hosting provider
  • local/test keys are separate from production keys
  • server-only keys are not used in browser code
  • old test keys are removed if they are no longer needed
  • public keys are actually safe to expose

Useful search:

grep -RIn --exclude-dir=node_modules --exclude-dir=.git --exclude-dir=dist --exclude-dir=.next "sk-\|api_key\|secret\|password\|SUPABASE_SERVICE" .

If you use ripgrep, adapt it:

rg -n "sk-|api_key|secret|password|SUPABASE_SERVICE" -g '!node_modules' -g '!.git' -g '!dist' -g '!.next'

Do not blindly trust the search. Inspect anything suspicious.

Also check your GitHub secret scanning alerts if the repo is on GitHub. If you accidentally committed a real secret, removing it from the current file is not enough. Rotate the key.

Related: Vibe Coding Security Risks and How to Avoid Them

3. Test authentication and authorization

If your app has users, admin pages, uploads, payments, private data, or saved records, test the ugly paths.

Check what happens when:

  • a logged-out user visits a protected page
  • a normal user visits an admin page
  • user A tries to view user B’s data
  • an expired session submits a form
  • someone sends a direct API request instead of using the UI
  • a user changes an ID in the URL

Try changing IDs manually:

/dashboard/projects/123
/dashboard/projects/124

If you can see data you should not see, that is a launch blocker.

Do not accept “the button is hidden” as authorization. Hiding an admin button in the UI is not the same as protecting the action server-side.

This is where AI-generated apps can fool you. The page looks polished, the dashboard works in your test account, and the AI says the route is protected. Then a direct request bypasses the UI entirely.

Test it anyway.

4. Review database and storage rules

AI-built apps often look complete while database permissions are wide open.

Check:

  • which tables, collections, or buckets exist
  • who can read each one
  • who can write each one
  • whether users are scoped to their own rows
  • whether admin-only data is protected server-side
  • whether public data is intentionally public
  • whether uploads are private or public
  • whether delete/update operations are restricted

Useful prompt:

Review this app's database and storage access.
List every table, collection, or bucket; who can read it; who can write it; and what could go wrong if a user sends direct API requests.
Do not fix anything yet. Return launch blockers first.

Then verify the answer in the actual database settings.

That last sentence matters. The AI can help you find where to look, but the source of truth is your database, storage provider, backend code, and deployed environment.

5. Run a clean install

Your app may work locally because of files, packages, settings, or environment variables you forgot existed.

Test from a clean clone or clean folder:

git clone <repo-url> clean-test
cd clean-test
npm install
npm run build
npm test
npm run dev

Adapt the commands for your stack.

The point is to prove the repo can run from its own instructions. If the setup only works because your machine has some mystery global package or forgotten local file, the project is not ready.

For AI-coded projects, this also exposes README problems fast. If the install instructions are wrong, fix them before launch.

6. Build for production

A dev server can hide production problems.

Run the production build:

npm run build

Common failures:

  • missing environment variables
  • server/client boundary mistakes
  • TypeScript errors
  • broken imports
  • unsupported browser/server APIs
  • pages that cannot be statically generated
  • routes that work locally but fail on the host

If the production build fails, do not launch.

If you are deploying a vibe-coded app for the first time, read How to Deploy a Vibe-Coded App before treating a dev preview as a real launch.

7. Test boring user flows

This is not glamorous. Do it anyway.

Test the flows real users will hit:

  • sign up
  • log in
  • log out
  • password reset
  • form submission
  • invalid input
  • duplicate submission
  • empty states
  • loading states
  • error states
  • mobile layout
  • payment cancel/success if payments exist
  • email delivery if email exists
  • file uploads if uploads exist

For every form, try:

  • blank fields
  • invalid fields
  • very long text
  • duplicate clicks
  • refresh after submit
  • browser back button after submit
  • mobile submission

A vibe-coded app can look great in the happy path and fall apart as soon as someone mistypes an email address.

That is normal. Fix the important paths first.

8. Add basic monitoring and rollback

For a small launch, monitoring does not need to be fancy.

Minimum:

  • you can see server/app errors
  • important form submissions are not silently lost
  • database has a backup/export path
  • previous deployment can be restored
  • you know who owns each external service account
  • you know where logs live
  • you know how to disable risky features quickly

If data matters, backup matters.

If the app collects leads, you need to know when a form fails. If the app handles accounts, you need to know when auth breaks. If the app takes payments, you need a clean way to review payment events and webhook failures.

Do not launch into total darkness.

9. Sort issues by severity

Do not treat every issue the same.

Use four buckets.

Launch blockers

Do not launch until fixed:

  • API keys committed to GitHub
  • production build fails
  • service-role key appears in frontend code
  • admin check only hides buttons in the UI
  • users can access other users’ data
  • payment webhook is not verified
  • database writes are public by accident
  • no way to recover important data
  • login or signup is broken
  • contact or checkout form silently fails

High-risk issues

Fix before serious promotion:

  • weak error handling on important flows
  • no rate limiting on public forms
  • unclear database permissions
  • no basic logging
  • poor mobile behavior on core pages
  • missing email confirmation or notification path
  • unclear owner/admin workflow

Medium-risk issues

Fix soon, but they may not block a small test launch:

  • rough empty states
  • weak loading states
  • inconsistent copy
  • missing analytics
  • incomplete README
  • non-critical layout bugs
  • imperfect but usable onboarding

Deferred fixes

Write these down so they do not disappear:

  • nice-to-have UI polish
  • advanced dashboards
  • extra filters
  • optional integrations
  • non-critical refactors
  • future automation

The point is not to scare yourself into never shipping. The point is to avoid shipping something that fails in obvious, preventable ways.

10. Ask AI to review, but do not let it be the final judge

AI is useful for launch audits, but it should not be the final authority.

Use it to inspect patterns, ask better questions, and build a checklist.

Copyable prompt:

Audit this app before launch.

Focus on:
- secrets and environment variables
- authentication and authorization
- database/storage permissions
- forms and user input
- production build/deployment
- monitoring, backups, and rollback

Do not fix anything yet. Return:
1. launch blockers
2. high-risk issues
3. medium-risk issues
4. checks to run
5. questions for the owner

Then verify the answers yourself.

If the model says “looks good,” that is not evidence. Evidence is a passing build, tested auth, reviewed permissions, working forms, known logs, and a rollback plan.

Final ship/no-ship rule

Ship when you can say this:

I know what this app does, what data it handles, how users are protected, how it builds, how it fails, and how I would recover.

If you cannot say that yet, it is not a failure.

It is just not launch day.

Quick checklist

Before you ship an AI-coded app, confirm:

  • I can explain the app, users, core flows, data, services, and failure risks.
  • No real secrets are committed to Git.
  • Production secrets are configured in the host.
  • Server-only keys are not exposed to the browser.
  • Protected pages reject logged-out users.
  • Normal users cannot access admin pages.
  • Users cannot access other users’ data.
  • Database and storage rules were reviewed.
  • The app runs from a clean install.
  • The production build passes.
  • Core forms handle invalid input and duplicate clicks.
  • Mobile core flows work.
  • Important errors are visible somewhere.
  • Important data has a backup/export path.
  • There is a rollback plan.
  • Launch blockers are fixed or the launch is delayed.

FAQ

What is an AI-coded app launch audit?

An AI-coded app launch audit is a pre-launch review for apps built with AI coding tools. It checks secrets, auth, database rules, forms, production builds, monitoring, backups, and rollback before real users touch the app.

Do I need a launch audit for a small vibe-coded app?

If the app is only local with fake data, probably not yet. If it collects data, has users, connects to production services, accepts payments, or represents your portfolio publicly, yes.

Can I ask AI to audit my app?

Yes, but do not stop there. AI can help find risks and generate checklists, but you still need to verify the real code, database settings, production build, deployed app, and user flows.

What is the biggest launch blocker for AI-generated apps?

The biggest blockers are exposed secrets, broken production builds, weak auth, public database writes, users accessing other users’ data, and important forms silently failing.

Where can I get a copyable version of this checklist?

The open source AI Coding Workflow Starter Pack includes a launch audit guide you can adapt for your own projects: github.com/Bruceai21/ai-coding-workflow-starter-pack

You can also read the VibeCodeSource overview here: The AI Coding Workflow Starter Pack.