Why vibe coding is harder on mobile
On the web, the browser is both where the code runs and where you look at it. Mobile splits those apart in three places, and each one is where vibe-coding sessions usually stall.
- Preview.A phone app needs a phone or a simulator. Tools that were built for websites bolt this on, and a broken preview means you can’t see what the AI did.
- Native code.Cameras, payments, and notifications rely on native modules. A preview app such as Expo Go includes a fixed set of them. Libraries with custom native code need a development build, which is a step most non-developers don’t expect.
- The finish line.A website is done when it’s deployed. An app is done when Apple and Google accept it, after signing, store listings, privacy details, and review.
Three kinds of vibe-coding tools
| Type | Examples | Output | Best for | Where it breaks |
|---|---|---|---|---|
| Mobile-first AI app builders | ShipNative, Rork | React Native / Expo project | Non-developers; phone preview built in | Custom native modules, unusual device features |
| Web-first AI builders | Lovable, v0 | A web app | Websites, dashboards, landing pages | Anything that must be a native store app |
| AI coding agents and editors | Cursor, Claude Code | Whatever you ask for in your own project | Developers; full control of the codebase | Non-developers stuck on setup and build errors |
If you don’t write code, a mobile-first builder is the only one of the three that handles preview, native output, and export for you. ShipNative builds React Native apps with Expo from a description, shows them in a phone preview, runs them on your own phone through Expo Go, and exports the full project. Its free plan covers builds of up to five screens.
If you want a website that works on phones, a web-first builder is the right tool, and it will be faster than anything mobile-specific. Just don’t expect a store app from it. See whether Lovable can build iOS and Android apps for the workarounds and their costs.
If you’re a developer, an AI coding agent in a real Expo project gives you control no builder can. The trade-off is that you own the toolchain, and a build error is yours to read. Many teams use both: a builder for the first version, then an agent on the exported code.
The workflow, step by step
1. Write a one-paragraph brief
Who it is for, the one thing they do in the app, the screens (four is plenty), and the data each screen shows. Two minutes of structure makes every later prompt land better.
2. Generate the first version
Paste the brief into a mobile-first builder and name the navigation model (bottom tabs or a stack). Read the plan before approving it and remove screens you did not ask for.
3. Preview on your own phone within the first hour
A browser preview hides the things that make apps feel broken: tap targets, the keyboard, the notch, scrolling. Scan the QR code into Expo Go and use the app one-handed.
4. Iterate one change per prompt
Name the screen and the element, describe the change, and say what should stay the same. Paragraph-long requests are where vibe coding turns into debugging.
5. Add a real backend when data has to be shared
Until data needs to move between users or devices, on-device storage is enough. When it does, connect a managed backend such as Supabase and ask for row-level security on every table.
6. Export the code
Download the Expo project before you depend on it. Export is your insurance against the tool, and it is what a developer or an AI coding agent will work from later.
7. Build and test with real testers
Build signed binaries with Expo EAS. Use TestFlight on iOS and a closed testing track on Google Play. New personal Play developer accounts must run a closed test with at least 12 testers for 14 days before publishing to production.
8. Submit for review
Prepare screenshots, a privacy policy URL, and privacy details for both stores, then submit. Expect to fix something after the first review.
For ready-made first prompts scoped to four screens, use the 24-hour MVP prompt pack. For the store side, the Expo EAS App Store checklist and the Google Play closed testing guide cover the details.
What a good first prompt looks like
Vibe coding works best when the vibe is specific. Compare these two requests for the same idea:
Vague
Make me a cool app for tracking my plants.
Specific
Plant care app for people with 5 to 20 houseplants. Bottom tabs: Today and Plants. Today lists plants due for water, each with a photo placeholder, name, and a Watered button that moves it off the list. Plants shows all plants in a two-column grid; tapping one opens a detail screen with watering interval and history. An Add plant screen takes name, room, and interval in days. Store on the device. Light theme, green accent. Respect safe areas. Out of scope: accounts, reminders, plant identification.
The second names the users, the navigation, what each screen shows, what each button does, where data lives, and what to leave out. The first leaves all of that for the AI to guess, and you’ll spend your next ten prompts undoing its guesses.
Mobile traps to prompt around
These show up in vibe-coded apps regardless of tool. Each is cheap to prevent in a prompt and annoying to find after testers do.
The keyboard covers the input
On any screen with a form, add “the keyboard must never cover the field being typed in”.
Content under the notch or the home indicator
Add “respect safe areas on every screen” to your first prompt so it applies to screens generated later.
Long lists stutter
Ask for virtualized lists (FlatList) for anything that can grow past a few dozen items.
Secret keys inside the app
Say “no secret API keys in the app; call them from a server function”. Anything in the binary can be extracted.
A database anyone can read
Ask for row-level security on every table, and test by signing in as two different users.
Placeholder content at submission
Search the app for sample names and lorem ipsum before submitting. Apple rejects incomplete apps with placeholder content.
Where vibe coding stops
Vibe coding is strongest on the standard parts of an app: screens, navigation, forms, lists, and simple data. It gets weaker where mistakes are silent and expensive.
- Payments and subscriptions. Purchases need store setup, sandbox testing, and a restore option. See the Expo + RevenueCat guide.
- Sync and offline behavior. Conflicts between devices are hard to describe in a prompt and hard to notice in a preview.
- Security and privacy. Access rules and data handling need to be checked, not assumed.
None of these mean you have to stop. They mean you should read what the AI produced, test it deliberately, and have the code exported so someone who can read it is able to help.