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Code Splitting

Code splitting divides mobile app code into smaller bundles that load on-demand, reducing initial download size and improving startup performance through selective module loading.

Code splitting is an optimization technique that breaks an application’s codebase into separate bundles or modules that can be loaded independently based on user navigation and feature usage, rather than downloading the entire app code upfront. This approach reduces initial app bundle size, speeds up app installation and launch times, and enables users to download only the features they actually use. In mobile development, code splitting manifests through dynamic feature modules in Android, on-demand resources in iOS, and lazy-loaded JavaScript bundles in React Native or other hybrid frameworks.

Android’s Dynamic Feature Modules allow developers to deliver features separately from the base app, either as install-time, on-demand, or conditional modules based on device capabilities. Users can install additional features when needed through Google Play’s in-app delivery system, reducing the initial APK size while maintaining full app functionality. iOS implements similar concepts through on-demand resources and App Clips, though with different architectural approaches. Web-based mobile frameworks like React Native support code splitting through standard JavaScript bundling tools that create separate chunks loaded asynchronously as users navigate between screens.

Effective code splitting requires analyzing user behavior to identify which features most users need immediately versus those accessed by smaller user segments or in specific scenarios. Teams split code along natural boundaries like feature modules, user flows, or rarely used functionality, while ensuring the core user experience remains smooth by preloading likely-needed modules and implementing proper loading states. Code splitting complements lazy loading by determining what to defer, while lazy loading implements the deferred execution, together creating more efficient apps that deliver better performance with smaller initial downloads.

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