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    React Architecture Best Practices for Scalable Applications

    Ravi JadhavMarch 18, 202612 min read
    React Architecture Best Practices for Scalable Applications
    Quick Answer

    Key React architecture best practices: (1) feature-based folder structure (group by feature, not by type); (2) separate UI components from business logic using custom hooks; (3) use server state (React Query/TanStack Query) and client state (Zustand/Jotai) separately — never put server data in Redux; (4) lazy load routes and heavy components with React.lazy(); (5) co-locate tests with components; (6) define strict component boundaries with clear prop interfaces; (7) use TypeScript from the start — retrofitting it to a large codebase is painful.

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    Why React Architecture Matters

    React is deliberately unopinionated. This is a feature, not a bug — but it means architectural decisions that work for a 10-component app break down at 100 components. Teams that defer architecture discussions pay for it in:

    • Slow onboarding (no clear pattern for where things go)
    • State management spaghetti
    • Components that are impossible to test
    • Bundle sizes that balloon as features are added carelessly

    Folder Structure: Feature-Based Over Type-Based

    Bad (type-based):

    src/
      components/
        Header.tsx
        UserCard.tsx
        ProductList.tsx
      hooks/
        useAuth.ts
        useProducts.ts
      pages/
        Dashboard.tsx
        Products.tsx
    

    Good (feature-based):

    src/
      features/
        auth/
          components/LoginForm.tsx
          hooks/useAuth.ts
          api/authApi.ts
          types.ts
        products/
          components/ProductList.tsx
          hooks/useProducts.ts
          api/productsApi.ts
          types.ts
      shared/
        components/Button.tsx
        hooks/useDebounce.ts
        utils/formatDate.ts
      pages/
        Dashboard.tsx   ← composes features
        Products.tsx
    

    Feature-based structure means everything related to a feature lives together. Deleting a feature is one folder deletion. Adding a developer to a feature means they only need to understand one directory.

    Component Design: Single Responsibility

    Each component should do one thing. The litmus test: can you describe what this component does in one sentence without using "and"?

    Split components by:

    • Presentation (dumb) vs container (smart) where appropriate
    • Route-level vs shared components
    • Domain logic vs UI

    Keep components under 200 lines. If a component grows beyond that, it is doing too much.

    State Management: Two Types, Two Solutions

    Many teams make the mistake of putting server data (API responses) into Redux or Zustand alongside UI state. This leads to complex synchronisation logic that React Query/TanStack Query solves out of the box.

    State TypeSolutionExamples
    Server stateTanStack Query (React Query)User profile, product list, orders
    Global client stateZustand or JotaiAuth status, theme, sidebar open/closed
    Local UI stateuseState / useReducerForm values, modal open, hover state

    Rule of thumb: if the data lives on a server, use React Query. If it is pure client-side UI state, use useState or Zustand.

    Custom Hooks: Separate Logic from UI

    Business logic in JSX is untestable and unreadable. Extract it into custom hooks:

    // Bad: logic mixed into component
    function ProductList() {
      const [products, setProducts] = useState([]);
      const [loading, setLoading] = useState(true);
      useEffect(() => {
        fetch('/api/products')
          .then(r => r.json())
          .then(data => { setProducts(data); setLoading(false); });
      }, []);
      return loading ? <Spinner /> : products.map(p => <ProductCard key={p.id} {...p} />);
    }
    
    // Good: logic in hook, component is pure UI
    function useProducts() {
      return useQuery({ queryKey: ['products'], queryFn: fetchProducts });
    }
    function ProductList() {
      const { data: products, isLoading } = useProducts();
      if (isLoading) return <Spinner />;
      return products.map(p => <ProductCard key={p.id} {...p} />);
    }
    

    Code Splitting and Lazy Loading

    Every route should be code-split. Do not ship the entire application in one bundle:

    const Dashboard = React.lazy(() => import('./pages/Dashboard'));
    const Products = React.lazy(() => import('./pages/Products'));
    
    function App() {
      return (
        <Suspense fallback={<PageLoader />}>
          <Routes>
            <Route path="/dashboard" element={<Dashboard />} />
            <Route path="/products" element={<Products />} />
          </Routes>
        </Suspense>
      );
    }
    

    Also lazy-load heavy third-party components (rich text editors, chart libraries, map components) that are not needed on initial render.

    TypeScript: Non-Negotiable at Scale

    Use TypeScript from day one. Specific rules:

    • No any — use unknown if the type is genuinely unknown, then narrow it
    • Define prop interfaces explicitly for every component
    • Type API responses with generated types (OpenAPI codegen) or manual interfaces
    • Enable strict mode in tsconfig

    Build your React application on a solid foundation. Talk to our web development team → or contact us to review your current architecture.

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    About the Author

    R
    Ravi Jadhav

    Technical Lead, Ortem Technologies

    Ravi Jadhav is a Technical Lead at Ortem Technologies with 12 years of experience leading development teams and managing complex software projects. He brings a deep understanding of software engineering best practices, agile methodologies, and scalable system architecture. Ravi is passionate about building high-performing engineering teams and delivering technology solutions that drive measurable results for clients across industries.

    Technical LeadershipProject ManagementSoftware Architecture

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