When frontend codebases grow, the challenge is rarely just writing components.
The real difficulty is keeping systems predictable, scalable, and maintainable while still delivering performance and good UX.
I want to outline some system design principles I’ve learned (and applied) in React/Next.js projects that helped avoid tech debt and keep apps healthy at scale.
1. State Management: Separate Concerns Early
One of the biggest pitfalls is mixing server state (data from APIs) with UI state (modals, toggles, form inputs).
- UI State → Context or local component state is often enough.
- Server State → Tools like React Query / SWR handle caching, background refetching, and stale data far better than Redux.
- Business Logic → Redux Toolkit or Zustand shine when you need deterministic updates across the app.
👉 Rule of thumb: Don’t reach for Redux by default. Reach for clarity: Where does this state belong, and who should own it?
2. Performance by Design, Not by Patching
Performance isn’t an optimization step at the end — it’s an architectural decision upfront.
Examples from practice:
-
Code splitting: Use
React.lazy
or Next.js dynamic imports to avoid loading entire feature modules on first paint. -
Virtualization: Large lists? Always consider
react-window
orreact-virtualized
instead of rendering 10,000 rows. - Caching strategies: Use a mix of CDN, service workers, and ISR for predictable page loads.
- Profiling: React DevTools Profiler often reveals hidden re-render chains that add 200–300ms lag.
👉 If you don’t measure (Lighthouse, Web Vitals, Profiler), you’re guessing.
3. Design Systems as Contracts
A design system is more than shared buttons. It’s the API of your UI layer.
- Design tokens → centralize spacing, colors, typography.
-
Primitives → base components (
Button
,Input
,Card
) with stable, predictable props. - Documentation → Storybook/Chromatic for dev visibility and design collaboration.
- Linting/CI checks → catch inline styles or rogue colors before they hit production.
👉 Treat components like APIs: predictable, versioned, and backwards-compatible.
4. Developer Experience = Scalability
Bad DX kills projects faster than bad UI. If devs can’t onboard quickly, the system collapses.
Practical ways to improve DX:
- Feature-driven folder structure (
/features/auth
,/features/dashboard
) instead of “components everywhere.” - Enforce standards with ESLint + Prettier + TypeScript strict mode.
- Pre-commit hooks (Husky + lint-staged) to prevent broken code from ever committing.
- Automated testing pipelines (unit + integration + E2E) baked into CI/CD.
👉 A good frontend system reduces cognitive load — engineers spend more time building features, less time hunting bugs.
Closing Thoughts
Frontend system design is not about adding complexity.
It’s about applying structure and discipline so applications scale without collapsing under their own weight.
For me, the pillars are clear:
- Separate state by responsibility
- Bake performance into architecture
- Treat design systems like contracts
- Prioritize developer experience
If you approach frontend this way, you stop building “pages” and start engineering platforms.
💬 Question to you:
What’s the hardest system design decision you’ve had to make on the frontend?
Top comments (0)