React Native has transitioned from experimental to standard with the full adoption of its New Architecture. As of 2026, the framework relies on JSI, Fabric, and TurboModules by default, marking a departure from the legacy asynchronous bridge.

For architects and lead developers, this shift is not merely a version update. It represents a fundamental change in how JavaScript interacts with native host objects, directly addressing the performance constraints that previously limited complex mobile applications.

In short

  • The New Architecture replaces the serialized JSON bridge with a C++ layer, enabling synchronous communication between JavaScript and native code.

  • Fabric and TurboModules reduce frame drops and improve startup times by allowing native components to be loaded and rendered on demand.

  • Architects should prioritize migrating legacy codebases to the New Architecture to avoid the performance overhead and maintenance debt of the deprecated bridge.

Beyond the JSON Bridge

The primary performance bottleneck in older React Native versions was the asynchronous JSON bridge. Every interaction, from gesture events to layout updates, required serializing data into JSON, transmitting it across the bridge, and deserializing it on the native side. This process introduced latency and prevented synchronous execution.

The New Architecture introduces the JavaScript Interface (JSI). JSI allows JavaScript to hold references to native C++ host objects. This enables direct, synchronous calls between the two environments, removing the need for constant serialization and significantly reducing the overhead of cross-language communication.

Fabric and TurboModules

Fabric, the new renderer, leverages JSI to provide a more efficient layout engine. By moving away from the bridge, Fabric allows for more responsive UI updates and better handling of complex view hierarchies.

TurboModules complement this by enabling lazy loading of native modules. Instead of initializing all native modules at startup, the application now loads them only when required. This reduces the initial memory footprint and improves application launch times, which is critical for maintaining high performance in large-scale mobile apps.