Is My AI-Built App Safe to Launch? A Founder's Pre-Launch Checklist

AI can get your app working, but working is not the same as launch-ready.

You typed a prompt, watched the code appear, clicked through the flows, and everything did what you asked. Signups work. The dashboard loads. Payments go through in test mode. That is a genuine achievement — six months of engineering time compressed into a few weekends.

But the question in the back of your mind is a different one: is my AI-built app safe to launch? Safe meaning nobody can read another customer’s data. Safe meaning your Stripe key isn’t sitting in a public repo. Safe meaning that when a real user — or a curious stranger — pokes at it, nothing embarrassing falls out.

This checklist is how to answer that question honestly, in an afternoon, without a security background. Nothing here is exotic. It is the set of basics that AI-assisted workflows tend to skip, and the set of things a first customer, a partner, or an investor will quietly assume you have already handled.

Why AI-built apps need a final review before launch

AI coding assistants optimise for one thing: producing code that satisfies the prompt. When you ask for “a user profile page,” you get a user profile page. What you do not get, unless you asked, is the check that confirms the person requesting profile 47 is actually user 47.

That gap is structural, not a bug in the model. Three things reinforce it:

The assistant scaffolds handlers, not guards. Generated route files usually contain the logic and skip the authorisation layer in front of it, because the guard wasn’t in the prompt.

Context is per-conversation. The assistant that wrote your auth flow in week one has no memory of it by week six. Rules established early quietly stop being applied.

Working code hides its gaps. A missing permission check produces no error, no warning, no failing test. The feature works perfectly — for everyone, including people who shouldn’t have access.

None of this means AI-built software is unsafe by nature. It means the last mile is different. Traditional teams get review from code review, QA, and a security engineer who asks awkward questions. In an AI-assisted solo build, that layer simply does not exist unless you create it. We’ve written elsewhere about the specific AI-built app risks that surface most often; this piece is about the pre-launch pass that catches them.

Secrets and API keys

This is the single most common critical finding, and the most expensive to get wrong. A live Stripe key, OpenAI token, or database password hard-coded into a config file is readable by anyone with repo access — and permanently readable in your git history even after you delete the line.

Check: search your codebase for sk_, api_key, password, and secret. Look at .env files, config files, and any file the assistant generated early on. Confirm .env is in .gitignore, then check whether it was committed before you added it.

Fix: move every value to an environment variable, and rotate any key that was ever committed. Rotation is the part people skip. Deleting the line does not invalidate the key.

Authentication and authorization

These are two different things, and AI-generated code is far better at the first than the second.

Authentication asks who are you — login, sessions, tokens. Assistants handle this well because it’s a well-defined, heavily-documented pattern.

Authorization asks are you allowed to do this specific thing — and it is where generated apps most often fall down. The classic failure: an endpoint like /api/orders/1043 that checks you’re logged in, then returns order 1043 regardless of whose order it is. Change the number, read someone else’s data.

Check: log in as one test user, note an ID in a URL or API call, then change it to another user’s ID. If data comes back, you have a broken access control issue.

Fix: every handler that touches user-owned data must verify ownership server-side, not just that a session exists. Client-side checks — hiding a button, redirecting in JavaScript — are not security. They’re convenience.

Open endpoints

Generated apps accumulate routes: admin panels, debug endpoints, health checks, seed-data scripts, an /api/users that dumps the table because it was useful during development. Many of them never got a guard.

Check: list every route your app exposes. For each one, ask what happens if a logged-out stranger requests it. Pay particular attention to anything with admin, debug, test, export, or internal in the path.

Fix: delete what you don’t need — the safest endpoint is the one that doesn’t exist. Guard what remains, and confirm the guard runs before the handler, not inside it.

User input and XSS risk

If a user’s profile bio, comment, or display name is inserted into your page as raw HTML, someone can store a script that runs in every other visitor’s browser. That’s stored XSS, and it can hijack sessions.

Check: find every place user-supplied text is displayed. In React, look for dangerouslySetInnerHTML. In templates, look for the “raw” or “unescaped” filter. In vanilla JS, look for innerHTML.

Fix: render user content as text and let your framework escape it. Modern frameworks escape by default — the risk is almost always in the one place someone deliberately turned it off to make formatting work.

While you’re there, check that user input hitting the database goes through parameterised queries rather than string concatenation. Assistants usually get this right with an ORM and usually get it wrong with hand-written SQL.

Dependency vulnerabilities

Your package.json may pin versions that had a published advisory a year ago. Transitive dependencies are the harder problem — packages you never chose, pulled in by packages you did.

Check: run npm audit (or pip-audit, bundle audit, composer audit). Read the output rather than glancing at the total.

Fix: upgrade to patched releases, prioritising anything marked critical or high that sits in a code path reachable from user input. Turn on automated dependency alerts so this stays current after launch. Not every advisory is exploitable in your app, but you should be able to say why for the ones you leave.

Error messages and stack traces

When something breaks in production, what does the user see? If the answer is a full stack trace, you’re publishing a map of your file structure, framework versions, and library list — a genuinely useful document for anyone probing your app.

Check: trigger an error deliberately. Submit a malformed request, hit a route that doesn’t exist, break a database call. Look at exactly what comes back.

Fix: generic message to the client, full detail to your server logs. Confirm debug mode is off in your production environment specifically — it’s common for it to be correctly disabled locally and still on in the deployed build.

Database and storage permissions

If you’re using a hosted backend like Supabase or Firebase, your database rules are your security perimeter. Development often starts with permissive rules to unblock progress, and those rules are easy to forget.

Check: review your row-level security policies or storage rules. Look for anything allowing read or write to anon, public, or true. For file storage, check whether uploaded files land in a public bucket — user-uploaded documents and ID photos frequently do.

Fix: default to deny, then open only what a specific role genuinely needs. Test by querying as an anonymous user and confirming you get nothing back.

Payment and customer data handling

If you take payments, use a hosted checkout — Stripe Checkout, Paddle, Lemon Squeezy — so card details never touch your server. Storing card data yourself pulls you into PCI DSS obligations you almost certainly don’t want.

Check: confirm no card data is logged, stored, or passed through your own endpoints. Then look at what personal data you do store, and whether you can justify each field. Check that webhook handlers verify their signature — an unverified Stripe webhook lets anyone POST a fake “payment succeeded” event and unlock paid features for free.

Fix: verify webhook signatures, encrypt sensitive fields at rest, and delete what you don’t need. Data you don’t hold can’t leak.

Production configuration

The gap between “works on my machine” and “safe in production” is mostly configuration.

Check: HTTPS enforced with HTTP redirecting? Session cookies marked HttpOnly, Secure, and SameSite? CORS restricted to your own domain rather than *? Rate limiting on login and password reset? Security headers present? Staging environments protected — or are they indexed and running against the production database?

Fix: work through them one at a time. Most are a single line of configuration, and collectively they close the majority of opportunistic attacks.

Public trust and proof

The last item isn’t a vulnerability — it’s the question your first visitors will ask that your code can’t answer. They don’t know you. They can’t inspect your repo. And “built with AI” is increasingly a phrase that makes buyers cautious rather than impressed.

Check: is there anything on your site that lets a stranger verify your app has been reviewed by someone other than you?

Fix: this is what independent verification is for. A published standard that states what was checked, and a public verification record that a visitor can open themselves, turns a claim into something checkable. Self-assessment convinces nobody; verifiable third-party assessment is a different object entirely.

Pass / Fix before launch

Work down the list and mark each row honestly. Anything in the right column is a blocker, not a backlog item.

Area	Pass looks like	Fix before launch if…
Secrets & API keys	All keys in environment variables; nothing in git history	Any live key is in the repo, or was committed and never rotated
Authentication	Sessions expire; passwords hashed; reset flow rate-limited	Auth is client-side only, or tokens never expire
Authorization	Every handler verifies ownership server-side	Changing an ID in a URL returns another user’s data
Open endpoints	Every route guarded or deliberately public	Any admin, debug, or export route answers a logged-out request
User input & XSS	Framework escaping on; parameterised queries	Raw HTML rendering of user content, or string-concatenated SQL
Dependencies	Audit clean, or each finding assessed and justified	Unpatched critical or high advisory in a reachable path
Error handling	Generic client errors; detail in server logs only	Stack traces or database errors visible to users
Database & storage	Deny by default; policies tested as anonymous	Any table or bucket readable by anon or public
Payments & data	Hosted checkout; webhook signatures verified	Card data touches your server, or webhooks are unverified
Production config	HTTPS, secure cookies, scoped CORS, rate limits	Debug mode on in production, or CORS set to *
Public trust	Independent check with a verifiable record	Nothing but your own word that the app was reviewed

What a LaunchSure check covers

Working through this yourself is genuinely worth doing, and for some apps it’s enough. What it can’t give you is independence — you’re reviewing code you’re already convinced by, and you can’t cite yourself as proof to a customer.

A LaunchSure check is that second set of eyes. We review your app against a published standard covering secrets handling, authentication and access control, exposed endpoints, input handling, dependency advisories, error and logging behaviour, data storage permissions, and production configuration — the same ground this checklist covers, applied by someone with no stake in the answer.

You get a plain-language report: each finding named without jargon, rated by severity, paired with a concrete fix. No 200-page PDF, no scanner dump. You can read a sample LaunchSure report before you commit to anything.

If your app passes, you get a credential with a valid-through date and a public verification record anyone can open. That record is the part that does work for you after launch — on your landing page, in a pitch deck, or in a security questionnaire from your first enterprise customer.

Before you launch

The founders who get burned aren’t careless. They’re moving fast on something that works, and “working” reads as “finished” until the day it doesn’t. The gap between those two states is a few hours of deliberate checking.

Run this checklist. Fix what it surfaces. Then decide whether you want an independent review on top — for the findings you couldn’t see yourself, and for proof your customers can verify.

Before you launch, get your AI-built app checked by LaunchSure. Check your app and we’ll tell you what we find.