React Native has matured significantly since its early days. With the New Architecture fully stable — including JSI, Fabric, and TurboModules — building production-grade apps that genuinely feel native is achievable without the cost and complexity of maintaining separate iOS and Android codebases. But the framework is only as good as the architecture built on top of it.
The architecture decision matters most upfront. For smaller apps, a feature-based folder structure works well. For larger codebases, a layered approach is essential: separate your presentation layer (screens and components), business logic (stores, hooks, selectors), and data layer (API clients, local storage adapters). This separation makes the codebase testable, navigable, and maintainable as teams grow.
State management is a common source of unnecessary complexity. For most apps, React Query for server state and Zustand for client state is the right default. React Query alone eliminates entire categories of bugs — loading states, cache invalidation, background refetching — that teams typically build poorly from scratch. Avoid reaching for Redux unless you genuinely need its debugging or middleware ecosystem.
Performance optimisation in React Native is largely about reducing re-renders and keeping the JavaScript thread unblocked. Use React.memo and useCallback judiciously, defer heavy list rendering with FlashList instead of FlatList, and push any computation to a native module or Reanimated worklet where possible. Profile with Flipper before optimising — the bottleneck is rarely where you expect.
Testing strategy should be layered: unit tests for business logic, integration tests for key user flows using React Native Testing Library, and E2E tests for critical paths using Maestro or Detox. A common mistake is writing too many unit tests for UI components and too few integration tests. Invert that ratio — integration tests catch far more real-world regressions.
The biggest predictor of a successful React Native project is decisions made in the first two weeks: folder structure, testing philosophy, error boundary strategy, and CI/CD setup. Get those right and the rest follows naturally. Retrofitting architecture into a large codebase is ten times harder than starting with a clear structure.
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