React Native 0.80 & ExecuTorch: A Powerful Leap into Offline AI for Mobile Apps

🚀 What’s New in React Native 0.80?

The React Native 0.80 release marks a pivotal moment in mobile development. This update not only enhances performance and development experience but also lays the foundation for long-term scalability, future architecture support, and seamless integration with local AI.

🧩 Key Enhancements in React Native 0.80:

• React 19.1 Integration: Improved stability and enhanced error tracing through new owner stack visibility in DevTools.
• JavaScript API Improvements: Deep imports are now restricted, encouraging cleaner and safer import structures. ESLint will also warn against deep imports.
• TypeScript Strict API (currently opt-in): Highly accurate types auto-generated from native code. This is ideal for large teams and projects that rely on type safety.
• Legacy Architecture Deprecated: Official support for the old architecture is now frozen. All future development is focused on the New Architecture.
• Faster iOS builds: Thanks to Prebuilt Dependencies, build time can be reduced by up to 12%.
• Smaller APK size for Android: With Interprocedural Optimization (IPO), the APK size can drop by around 1 MB without sacrificing performance.
• Hermes as default JS engine: Hermes is now the standard. JavaScriptCore has been moved out as an optional community package.

This update is essential for any team building production-ready, scalable applications, especially if you're using TypeScript or planning to use AI locally.

🤖 ExecuTorch: Local AI Without Internet

ExecuTorch by Meta and Software Mansion is a powerful library that enables you to run large language models (LLMs) directly on-device with no internet required. Version v0.4.0 supports models like LLAMA 3, Qwen 3, Phi 4 Mini, and Hammer 2.1.

This means you can build intelligent apps where data never leaves the device, offering:

• 🔒 Enhanced privacy – all processing happens locally.
• ⚡️ Faster execution – no API roundtrips.
• 📶 Fully offline – works without internet access.

ExecuTorch also supports:

• Running full LLMs natively.
• Tool Calling – models can trigger internal functions in your app.
• Speech-to-text (STT) across multiple languages.
• Embeddings for semantic search or classification.

🧪 Code Example: Using LLAMA Model with ExecuTorch

The following example uses the useLLM hook to initialize and run an LLM locally:

    // Example: Using ExecuTorch with LLAMA model
    import { useLLM, LLAMA3_2_1B, LLAMA3_2_TOKENIZER, LLAMA3_2_TOKENIZER_CONFIG } from 'react-native-executorch';
    
    const llm = useLLM({
      modelSource: LLAMA3_2_1B,
      tokenizerSource: LLAMA3_2_TOKENIZER,
      tokenizerConfigSource: LLAMA3_2_TOKENIZER_CONFIG,
    });
    

After setup, you can run inference via llm.run() with any user input and receive real-time results on-device.

📌 ExecuTorch Requirements

• React Native 0.76 or later (0.80 recommended)
• New Architecture must be enabled
• Android 13+ or iOS 17+
• TurboModules must be turned on

💡 Expert Tips

If you're planning to implement local AI in your React Native project, here’s the best way to get started:

1. Start with React Native 0.80 and enable the New Architecture from the beginning.
2. Try lightweight models like Hammer 2.1 or Phi 4 Mini first before scaling up.
3. Monitor device performance and memory to ensure smooth operation.
4. Use TypeScript Strict API to reduce runtime bugs.
5. For Expo users, ensure Custom Development Client is enabled.

👏 In summary: this is not just another update — it’s a new era for intelligent mobile apps that are faster, offline-ready, and privacy-focused. Whether you're building tools, learning platforms, or AI utilities — this is the perfect time to adopt.