Mobile App Development

1. Cross-Platform Frameworks:

   • Flutter (Dart):
     • Reasoning: Declarative UI, strong typing (Dart), good component model, rich widget library. AI can generate basic widgets and logic well. Hot reload aids rapid iteration.
     • VibeCoding Fit: Very Good.
   • React Native (JavaScript/TypeScript):
     • Reasoning: Uses React principles familiar to web developers. Large community. Component-based structure is AI-friendly.
       • With TypeScript: Highly recommended. Type safety significantly improves AI's ability to generate correct component props, state management, and API interactions.
       • With JavaScript: AI generation is significantly less reliable and requires more human correction.
     • VibeCoding Fit: Very Good (with TypeScript), Fair (JavaScript only).
   • NativeScript (JavaScript/TypeScript):
     • Reasoning: Direct access to native APIs can be powerful. Can leverage web frameworks (Vue, Angular). TypeScript is essential for good AI assistance.
     • VibeCoding Fit: Fair to Good (Complexity of native APIs can challenge AI).
   • .NET MAUI (C#):
     • Reasoning: Evolution of Xamarin.Forms. Strong typing (C#), shared UI and logic. Good for teams with .NET expertise. XAML can be verbose for AI but follows patterns.
     • VibeCoding Fit: Fair to Good.

2. Native Development:

   • Swift (iOS) / Kotlin (Android):
     • Reasoning: Strong typing, modern languages, direct access to all platform features. Mature IDEs (Xcode, Android Studio) provide powerful tooling complementing AI. AI can generate standard UI code (SwiftUI, Jetpack Compose) and business logic effectively.
     • VibeCoding Fit: Good.
   • Challenges for VibeCoding (Native): The breadth of platform-specific APIs and lifecycle complexities requires careful prompting and human review. AI might struggle with intricate platform integrations without clear guidance.