When is an AI-built mobile app actually ready for the App Store?

Over the past few months, I have shipped several mobile apps with the help of AI coding tools.

Building the app became much faster. Releasing it did not.

A coding agent can implement a feature, fix the build, and prepare a production binary. But it usually does not know whether the permission messages are specific enough, whether the privacy declarations match the SDKs, whether the review account works, or whether the store listing still describes the current version.

That gap is what led me to build LaunchLint.

LaunchLint statically reviews Expo, React Native, Flutter, FlutterFlow, Ionic, and Capacitor projects for three areas:

• App Store and Google Play release risks

• Statically detectable mobile security issues

• Store listing and ASO consistency

It connects findings to repository evidence and turns them into concrete tasks for coding agents such as Codex, Claude Code, and Cursor.

One boundary was important to me. LaunchLint never installs dependencies, runs builds, or executes code from a customer repository. Static analysis cannot prove everything about a production app, so runtime behavior and ambiguous store declarations remain clearly marked for manual review.

LaunchLint is launching here in a few hours, and I would really like some honest input from other makers before it goes live.

When you prepare an app for the stores, which part creates the most uncertainty?

1. Permissions and privacy declarations

2. Review access and test accounts

3. Subscriptions and purchases

4. Store listings, screenshots, and ASO

5. Security and third-party SDKs

6. Something else entirely

I am especially interested in what you would trust a static scanner to check and what you would always want to verify yourself.