Vibe Coding for Mobile Apps: React Native and Flutter via AI

# Vibe Coding for Mobile Apps: React Native and Flutter via AI Imagine: you describe a login screen in natural language, and a neural network generates working code in React Native or Flutter. A year ago, this seemed like science fiction. Today, **vibe coding mobile** apps is a reality that changes the game. In this article, we'll explore how to create screens, navigation, and API integration using prompts, and compare the two frameworks. ## Why Vibe Coding Changes Mobile Development Vibe Coding (or "coding by vibe") is an approach where a developer formulates a task in natural language, and an AI agent generates the code. For mobile apps, this means: - **Speed**: a screen prototype in 5 minutes instead of 2 hours. - **Accessibility**: designers and product managers can create working prototypes without deep coding knowledge. - **Flexibility**: rapid iteration and hypothesis testing. But the key is you retain control: AI writes the code, while you manage the architecture and business logic. ## Prompts for React Native: Screens, Navigation, API ### 1. Generating Screens Let's start simple: ask AI to create a login screen with email and password fields. **Example prompt:** > "Create a login screen in React Native using React Native Elements. Add an email field, a password field, a 'Login' button, and a 'Forgot password' link. Use a functional component with hooks." AI will return a ready component with state, handlers, and styles. ### 2. Navigation For routing, we use React Navigation. **Prompt:** > "Set up a stack navigator in React Native with three screens: Home, Profile, Settings. Use @react-navigation/native and @react-navigation/stack. The Home screen should have buttons to navigate to Profile and Settings." Result: a ready App.tsx with navigation. ### 3. API Integration **Prompt:** > "Write a useFetch hook for React Native that takes a URL and returns data, error, and loading status. Use fetch and TypeScript. Add error handling and request cancellation via AbortController." AI will generate a hook you can use immediately in your project. ## Prompts for Flutter: Widgets, Routing, HTTP ### 1. Creating Widgets Flutter is ideal for AI generation due to its declarative syntax. **Prompt:** > "Create a LoginPage widget in Flutter with TextField fields for email and password, an ElevatedButton, and 'Forgot password?' text. Use StatefulWidget and controllers for the fields." AI will return a widget with a clean layout. ### 2. Routing **Prompt:** > "Set up GoRouter in Flutter with three routes: /home, /profile, /settings. Implement a BottomNavigationBar to switch between them. Use ShellRoute for a common scaffold." Result: a ready navigation structure with tabs. ### 3. Working with API **Prompt:** > "Create an ApiService in Flutter with a fetchUsers() method. Use the http package, handle errors, return a User model (id, name, email). Add JSON serialization via fromJson/toJson." AI will generate the model, service, and usage example. ## Comparison of Approaches: React Native vs Flutter | Characteristic | React Native | Flutter | |----------------|--------------|---------| | **Language** | JavaScript/TypeScript | Dart | | **Popularity of AI generation** | High (more data in training sets) | Medium (growing) | | **Code quality** | Good, but needs refinement | Excellent, predictable structure | | **Navigation** | React Navigation (complex prompts) | GoRouter (simple prompts) | | **Performance** | Depends on bridge | Native compilation | | **AI tool ecosystem** | GitHub Copilot, Cursor, Replit | Dart Frog, AI plugins for Android Studio | **Conclusion**: React Native wins in availability of training data, Flutter in predictability of generated code. ## Practical Tips for Vibe Coding 1. **Break down tasks**: instead of "make an app," write "create a profile screen with an avatar." 2. **Specify context**: mention the framework, libraries, versions. 3. **Check the code**: AI may gen

Vibe Coding for Mobile Apps: React Native and Flutter via AI

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