Vibe Coding | 2026-07-08 | 8 min read
Vibe-Coded App Security Checklist: 7 Checks Before Launch
AI can help you build an app fast, but it will not automatically secure your database, API keys, public endpoints, or user permissions.
Direct answer: Before shipping a vibe-coded app, check row-level security, API key exposure, server-side secrets, rate limits, input validation, auth rules, and production monitoring.
Written by: Esmail Hanif, AI Visibility Strategist & Founder, Martecks
Short answer
Before you ship a vibe-coded app, assume the happy-path demo is not the same thing as a safe product.
Check seven things first: database row-level security, API key exposure, server-only secrets, rate limits, input validation, user permission rules, and production monitoring.
Why AI-built apps feel safer than they are
AI coding tools are good at getting a login screen, dashboard, form, and database table working quickly. That speed can hide the boring layer that keeps users from seeing each other’s data or abusing your endpoints.
This is especially important with tools like Supabase, Firebase, and hosted APIs because beginners often connect the frontend directly to powerful services. That can be fine when the permission model is correct. It is dangerous when the app only works because every client can read too much.
The 7 checks
| Check | What to verify |
|---|---|
| RLS | Every exposed table has row-level security enabled and real policies. |
| API keys | Public keys are only used for public-safe access; secret keys stay off the client. |
| Server routes | Privileged operations run on the server, not in browser code. |
| Rate limits | Public endpoints, auth flows, uploads, and AI calls have abuse limits. |
| Input validation | Forms and APIs reject bad, oversized, unexpected, or unsafe input. |
| Permissions | Users can only read, write, update, or delete records they are allowed to touch. |
| Headers | The site sends basic browser security headers. |
| Monitoring | You can see auth errors, spikes, failed requests, and suspicious usage. |
Start with RLS
Supabase says row-level security should always be enabled on tables stored in exposed schemas, including the public schema. After RLS is enabled, data is not accessible through the API with a publishable key until you create policies.
That is the mental model: the frontend can ask, but the database still decides what that user is allowed to see or change.
Sources: Supabase: Row Level Security
Do not leak the powerful key
A common AI-built-app mistake is placing secret API keys in frontend code because it makes the demo work. Browser code is not private. If a key lets someone bypass user permissions, call a paid API, or access private data, it belongs on the server.
Use environment variables for server code, short-lived credentials where appropriate, and separate public-safe keys from privileged keys.
Watch Google OAuth and Gmail scopes
If your app connects to Gmail, Google Drive, Calendar, or sign-in with Google, the security work is bigger than adding a button. Google classifies OAuth scopes by sensitivity, and apps that request sensitive or restricted scopes can need verification before broad use.
Gmail is especially important because restricted scopes can trigger deeper review requirements, including security assessment expectations for some apps. Before you promise a Gmail integration, check which scopes you actually need and whether a lower-risk scope can do the job.
| Question | Why it matters |
|---|---|
| Do we really need Gmail read/write access? | Requesting too much access increases review, trust, and security burden. |
| Can we create drafts instead of sending automatically? | Draft-first workflows reduce customer-trust risk. |
| Are scopes explained clearly to the user? | OAuth consent should match the real product behavior. |
| Is the integration worth the compliance work? | Some ideas should start manual or internal before becoming a public app. |
Sources: Google: OAuth API verification FAQ, Google: Gmail API scopes
Rate limits are product safety
Rate limits are not just a big-company concern. If your app has a public form, file upload, AI endpoint, login route, or webhook, someone can hit it repeatedly.
Supabase’s API security guidance calls out cases where RLS is not enough, including per-IP or per-user rate limits, extra API key checks, quotas, and blocking direct access to sensitive exposed objects.
Sources: Supabase: Securing your API
Production is where the demo breaks
A working prototype still needs production habits before real users arrive: real authentication, permission tests, rate limits, server-side secrets, background jobs for heavy work, caching for repeated requests, and basic load testing.
This is where many AI-built apps fail. The first version proves the idea. The second pass proves the app can survive users, retries, slow APIs, uploads, paid AI calls, and bad inputs.
| Production check | Beginner translation |
|---|---|
| Real auth | Use a proven auth provider instead of homemade login logic. |
| Async jobs | Move slow work like email, PDFs, and AI calls out of the request path. |
| Caching | Do not pay for or recompute the same answer over and over. |
| Load test | Check what happens when more than one polite demo user shows up. |
| Logs and alerts | Know when signups, API calls, or errors spike. |
Check security headers
A fast non-coder check is to scan the site with SecurityHeaders.com or MDN HTTP Observatory. These tools inspect HTTP response headers such as Content-Security-Policy, Strict-Transport-Security, X-Content-Type-Options, Referrer-Policy, and related browser protections.
Do not treat an A+ score as proof that the whole app is secure. It is a useful launch check, not a replacement for auth, RLS, validation, rate limits, and review. Still, if a vibe-coded site ships with missing basic headers, that is usually worth fixing before launch.
Sources: SecurityHeaders.com, MDN HTTP Observatory, Google: OAuth API verification FAQ, Google: Gmail API scopes
Ask your coding agent this
Use this prompt before you let the app near real data.
- List every table, bucket, API route, webhook, and external service this app uses.
- For each one, explain who can read, write, update, delete, or call it.
- Find any secret, token, private key, service role key, or paid API key that could reach the browser.
- Show me the RLS policies or permission checks that protect user data.
- Identify every public endpoint that needs rate limiting or validation.
- Scan the deployed or preview URL for missing HTTP security headers and explain which fixes are safe for this stack.
- Create a test plan for one normal user, one logged-out user, and one malicious user.
Where this fits in the launch checklist
This is the security pass inside the broader AI-built website and app launch workflow. First make sure the thing works. Then make sure it fails safely.
For non-coders, the important habit is not becoming a security engineer overnight. It is asking the app to prove its permissions before you trust the demo.
Reference links
These sources support the app security and production-readiness checklist.
Sources: Supabase: Row Level Security, Supabase: Securing your API, SecurityHeaders.com, MDN HTTP Observatory
Final answer
Do not ship a vibe-coded app just because the demo works.
Before launch, check RLS, API keys, server-only secrets, rate limits, input validation, permission rules, and monitoring. Speed is useful only if the app does not leak data on day one.