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Building Scalable React Applications with TypeScript

Best practices, folder structures, state management patterns, and performance tips for building large-scale React applications that teams can maintain for years.

Kiran Babu · 2025-02-05 · Development

Building Scalable React Applications with TypeScript

Most React TypeScript projects start clean and degrade fast. After working on 40+ production React applications, we've identified the patterns that separate codebases that age well from those that become unmaintainable within 18 months.

How should you structure a large React project?

Feature-based folder structure beats layer-based. Group by domain (auth, payments, dashboard) not by type (components, hooks, utils). Each feature owns its components, hooks, types, and services. When you need to delete or refactor a feature, everything is co-located.

The same app, organised two ways
src/                          src/
  components/                   features/
    CheckoutForm.tsx              checkout/
    OrderSummary.tsx                components/CheckoutForm.tsx
    UserAvatar.tsx                  components/OrderSummary.tsx
  hooks/                            hooks/useCheckout.ts
    useCheckout.ts                  api/checkout.ts
    useProfile.ts                   types.ts
  api/                              index.ts   <- the public surface
    checkout.ts                 profile/
    profile.ts                    ...
  types/                        shared/        <- genuinely cross-feature only
    index.ts                      ui/ hooks/ lib/

# Left: deleting checkout means hunting through four folders and
# hoping nothing else imported those files.
# Right: delete one directory. The index.ts barrel is what other
# features may import — anything else is private by convention.

What TypeScript rules keep a large codebase maintainable?

  • Strict mode from day 1. No `any` escape hatches.
  • Define domain types in a central `types/` folder, never in component files.
  • Use Zod for runtime validation at API boundaries — parse, don't trust.
  • Discriminated unions for state machines (loading/error/success/idle).
Discriminated unions make the impossible states unrepresentable
// Four booleans allow 16 combinations, most of them nonsense —
// isLoading && error && data is a state your UI must still handle.
type Bad<T> = { isIdle: boolean; isLoading: boolean; error?: Error; data?: T };

// One union allows exactly four, and TypeScript narrows each branch:
type RequestState<T> =
  | { status: "idle" }
  | { status: "loading" }
  | { status: "error"; error: Error }
  | { status: "success"; data: T };

function OrderView({ state }: { state: RequestState<Order> }) {
  switch (state.status) {
    case "idle":
    case "loading": return <Spinner />;
    case "error":   return <ErrorPanel error={state.error} />;   // .data doesn't exist here
    case "success": return <OrderDetail order={state.data} />;   // .data is Order, not Order | undefined
  }
}
// Add a fifth state later and every switch that forgot it fails
// to compile — which is the whole point.

Do you actually need Redux or Zustand?

Don't reach for Redux or Zustand immediately. Server state (TanStack Query) + URL state (React Router) handles 80% of real-world needs. Local state for UI, context for theme/auth, and a store (Zustand) only for genuinely global client state.

Performance

  1. Code splitting at route level — lazy load every page.
  2. Virtualize lists over 100 items (TanStack Virtual).
  3. Memoize expensive computations (useMemo), not renders (React.memo) — get the dependency arrays right.
  4. Bundle analyze quarterly — find unused imports before they accumulate.

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