Optimizing React Performance: Data Structure Over Code Tweaks

If there’s one thing I’ve learned while building out large-scale, modular applications, it’s that component bloat will quietly ruin your codebase. React components usually start small, but once you add data fetching, sorting, and state management, they become monstrous. I just published a new article on Medium breaking down my favorite solution to this: Custom Hooks. I explain the golden rule of clean React architecture—separating the "Brains" (logic) from the "Looks" (UI)—and how to actually implement it. If you want to write cleaner, more testable code, give it a read: "https://lnkd.in/gnZ44Hgu" #ReactJS #WebDevelopment #SoftwareArchitecture #CleanCode #FrontendDeveloper

Most frontend codebases don’t fail because of bad code. They fail because of bad architecture. Here’s how I think about structuring a scalable React application 👇 Separate server state vs client state → Server state = API data (React Query) → Client state = UI logic (local / Redux if needed) Mixing both = chaos. Feature-based folder structure Instead of: components/ utils/ I prefer: features/ ├── auth/ ├── dashboard/ ├── reports/ Why? → Improves scalability → Easier ownership → Better code isolation API layer abstraction Never call APIs directly inside components. Use: → custom hooks (useUsers, useReports) → centralized API services Reusable + dumb components → Separate UI from logic → Makes testing and reuse easier Performance as a design decision (not afterthought) → Code splitting → Lazy loading → Memoization where needed In large-scale systems, “clean code” is not enough. You need: 👉 Predictability 👉 Scalability 👉 Maintainability That’s what differentiates a mid-level dev from a senior engineer. #FrontendArchitecture #ReactJS #SystemDesign #ScalableSystems #Engineering

🚀 Day 26/100 – #100DaysOfCode Core React Concepts Focused on understanding some core concepts that power how React applications work internally. 🔹 Data Fetching & Separation of Concerns Keeping data-fetching logic outside components helps maintain clean and scalable architecture. 🔹 Props & Data Flow React follows a one-way data flow, where data is passed from parent to child components using props. 🔹 Handling Asynchronous Data Working with promises and resolving them inside components is key to building data-driven UIs. 🔹 Component-Based Architecture Breaking UI into smaller reusable components improves maintainability and reusability. 🔹 State Management ("useState") State is used to control dynamic behavior and UI updates in React applications. 🔹 Event Handling User interactions trigger state updates, making the UI interactive and responsive. 🔹 Conditional Rendering React renders UI based on conditions, enabling dynamic content display. 🔹 List Rendering Using methods like ".map()" to efficiently render collections of data. Tomorrow - A new project based on React. 26 days down, 74 more to go. #Day26 #100DaysOfCode #ReactJS #JavaScript #FrontendDevelopment #WebDevelopment #MERN

📁 Clean Full‑Stack Architecture – Frontend + Backend at a Glance Just mapped out the folder structure for my latest project, and I’m loving how it balances clarity and scalability. Frontend (React/TS) · components/ – reusable & modular · pages/ – route‑level views · services/ – clean API integration · helpers/ + utils/ – focused utilities Backend (Node/Express) · config/ – environment management · models/ + controllers/ – separation of concerns · libs/ – auth & core logic · services/ – business logic layer Why this works: ✅ API integration lives separately from UI ✅ Business logic stays backend‑side, testable & secure ✅ Each folder has a single responsibility – onboarding new devs is fast Nothing groundbreaking, but solid structure saves hours of debugging later. How do you organise your full‑stack apps? Always looking for better patterns. #fullstack #reactjs #nodejs #softwarearchitecture #cleancode

Is it enough to get a senior frontend role by answering on "Design a frontend architecture for a real-time trading platform" interview question? I would start by identifying key parts of the system: real-time price updates, charts, and the order book, which is highly dynamic and performance-sensitive. From an architectural perspective, I would structure the application using a feature-based approach, separating modules like trading, charts, and user management. For state management, I would clearly separate server state and client state. Server state, such as market data and order book updates, would be handled using a combination of WebSockets and a caching layer like React Query or a custom store. For real-time updates, instead of refetching data, I would process incremental updates from WebSockets and update only the affected parts of the state. For example, updating specific price levels in the order book rather than replacing the entire dataset. To handle performance, especially with frequent updates, I would: – Use virtualization for large lists like the order book – Batch or throttle updates to avoid excessive re-renders – Carefully scope state so only affected components re-render – Use memoization where necessary, but rely primarily on proper state design For charts, I would use efficient rendering strategies, possibly offloading heavy computations or using optimized libraries. Overall, the goal is to ensure the UI remains responsive even under high-frequency updates by minimizing unnecessary rendering and processing data incrementally.

🚀 React Internals Series – Post #15 🗂️ React State Management Internals: Local State vs Global State Managing state is one of the most critical aspects of React applications. As applications grow, developers must decide where state should live and how it should be shared. Understanding the difference between local state and global state is key to building scalable React systems. --- 🧠 What is Local State? Local state belongs to a single component. Example: const [count, setCount] = useState(0); Scope: Component │ Local State │ Used only inside component Local state is ideal for: ✔ UI interactions ✔ Form inputs ✔ Toggle states ✔ Temporary values --- ⚙️ What is Global State? Global state is shared across multiple components. Example architecture: App ├─ Header ├─ Sidebar ├─ Dashboard └─ Profile If all components need user data, global state becomes useful. Global state can be managed using tools like Redux. --- 📦 State Propagation Problem Without global state, developers often face prop drilling. Example: App │ ▼ Dashboard │ ▼ Sidebar │ ▼ UserMenu Each component passes props down manually. This creates tight coupling between components. --- 📊 Global State Flow Typical global state architecture: Central State Store │ ▼ Components Subscribe │ ▼ State Updates Trigger Re-render Components read and update shared application state. --- ⚠️ Overusing Global State A common mistake is putting everything into global state. Problems: ❌ Hard to debug ❌ Complex state updates ❌ Performance overhead Example bad design: Global Store │ All UI states stored globally This reduces maintainability. --- 💡 Best Practices ✔ Keep UI state local ✔ Store shared data globally ✔ Avoid unnecessary global state ✔ Separate business logic from UI state A good rule: If only one component needs it → Local State If many components need it → Global State --- 📌 Key Insight React applications scale best when developers balance local state and global state, keeping UI logic simple while managing shared data efficiently. --- 💬 Next in the series: “React Event System Internals: How Synthetic Events Work” --- 🔖 Follow the React Internals Series #React #ReactJS #StateManagement #FrontendArchitecture #WebDevelopment #JavaScript #FrontendEngineering #Programming #SoftwareArchitecture #DeveloperSeries

🚀 Stop treating Server State like UI State. As React developers, we’ve all been there: building "custom" fetching logic with useEffect and useState. It starts with one loading spinner and ends with a nightmare of manual cache-busting and race conditions. When I started migrating my data-fetching to TanStack Query, it wasn't just about "fewer lines of code"—it was about a shift in mindset. The Real Game Changers: Declarative vs. Imperative: Instead of telling React how to fetch (and handle errors/loading), you describe what the data is and when it should be considered stale. Focus Refetching: This is a huge UX win. Seeing data update automatically when a user switches back to the tab feels like magic to them, but it’s just one config line for us. Standardized Patterns: It forces the whole team to handle errors and loading states the same way, which makes code reviews much faster. The Win: In a recent refactor, I replaced a tangled mess of global state syncs and manual useEffect triggers with a few useQuery hooks. I was able to delete a significant chunk of boilerplate while fixing those "stale data" bugs that always seem to haunt client-side apps. The takeaway: Don't reinvent the cache. Use tools that let you focus on the product, not the plumbing. 👇 Question for the devs: Are you using TanStack Query for everything, or are you finding that Next.js Server Actions and the native fetch cache are enough for your use cases now? #reactjs #nextjs #frontend #webdev #tanstackquery #javascript

6 seconds → 1.8 seconds. Same API. Same backend. Same database. No caching. No CDN. No infrastructure changes. Just one JavaScript concept many frontend engineers learn too late. The dashboard of a web app I worked on took ~6 seconds to become interactive. Not because the API was slow. Each API request took around 300–400ms. The real problem? They were running one after another. Load user profile → wait Load notifications → wait Load analytics → wait Load activity feed → wait 12 requests × ~350ms = 4+ seconds of pure waiting. Add rendering time and network overhead… now you’re at ~6 seconds. The fix was simple: Run requests in parallel. Instead of this: fetchProfile() → wait → fetchNotifications() → wait → fetchAnalytics() We changed it to: Promise.all([ fetchProfile(), fetchNotifications(), fetchAnalytics(), fetchActivity() ]) Now all requests run at the same time. The page only waits for the slowest one. Result: 6 seconds → 1.8 seconds. Same APIs. Same backend. Just a better execution strategy. But there’s a catch many developers miss. The Loading State Problem. When requests run in parallel you must handle: • partial failures • loading states • race conditions • inconsistent UI Without proper state management, the UI becomes messy. Frontend performance is often not about complex optimizations. Sometimes it’s just about removing unnecessary waiting. What small frontend optimization gave you the biggest performance win? 👇 #Frontend #JavaScript #React #WebPerformance #SoftwareEngineering #WebDevelopment

Most React codebases become unmanageable within 6 months. Not because React is the problem. Because nobody planned the architecture before writing the first component. I have seen this in almost every project we take over from another team. Components doing too much. Business logic mixed into UI layers. State scattered across the app with no clear pattern. API calls happening inside components that should only render data. It works fine at 10 components. It breaks at 50. Here is how we structure every React and Next.js project at Velox Studio from day one: → Strict separation of concerns. UI components never contain business logic. Data fetching lives in its own layer. Formatting and transformation happen in utility functions, not inside JSX. → Component hierarchy defined before code is written. We map every screen into a tree of components before building anything. Parent components manage state. Child components receive props. No exceptions. → A consistent naming and folder convention. Every developer on the project knows exactly where to find a component, a hook, a utility, or an API call. No guessing. No searching. → Custom hooks for reusable logic. If two components need the same data or behaviour, it becomes a hook. Not copy-pasted code. → State management chosen for the use case, not the trend. Local state for component-specific data. Context for shared UI state. Server state handled by React Query or SWR. Global stores only when genuinely needed. The goal is not to write clever code. The goal is to write code that a new developer can understand in 15 minutes and contribute to in an hour. Architecture is not overhead. It is the difference between a project that scales and one that stalls. How does your team handle architecture decisions before starting a new build? #ReactJS #FrontendArchitecture #NextJS #WebDevelopment #CleanCode

🚀 React Internals Series – Post #11 ⏳ React Suspense Internals: How React Handles Async UI Rendering Modern applications frequently load data, components, and resources asynchronously. Traditionally developers handled loading states manually: if(loading){ return <Spinner/> } React introduced Suspense to manage async rendering in a declarative way. This feature works closely with React Fiber and the concurrent rendering system. --- 🧠 What is React Suspense? Suspense allows React to pause rendering until asynchronous operations complete. Instead of manually handling loading states everywhere, React manages it automatically. Example: <Suspense fallback={<Loading />}> <UserProfile /> </Suspense> React shows fallback UI while waiting for resources. --- ⚙️ Suspense Rendering Flow When a component needs async data: Component Render │ Async Resource Requested │ Component Suspends │ Fallback UI Rendered │ Data Loaded │ Component Resumes Rendering This creates smooth loading experiences. --- 📦 Lazy Component Loading Suspense is commonly used with code splitting. Example: const Dashboard = React.lazy(() => import('./Dashboard')); Usage: <Suspense fallback={<Spinner />}> <Dashboard /> </Suspense> Execution flow: User Opens Page │ Component Requested │ JS Bundle Loading │ Fallback UI Displayed │ Component Rendered --- 📊 How Suspense Works Internally When a component cannot render immediately: Component Throws Promise │ React Suspends Rendering │ Fallback UI Displayed │ Promise Resolves │ Rendering Resumes This mechanism integrates with React’s scheduling system. --- ⚠️ Common Suspense Limitations Suspense initially supported: ✔ Code splitting But not: ❌ Data fetching (early versions) Modern React frameworks now integrate Suspense with data loading strategies. --- 💡 Best Practices ✔ Use Suspense for lazy loaded components ✔ Combine with concurrent rendering features ✔ Keep fallback UI lightweight ✔ Use proper loading indicators These improve perceived performance. --- 📌 Key Insight React Suspense enables asynchronous UI rendering, allowing components to pause rendering while resources load and automatically display fallback content. --- 💬 Next in the series: “React Server Components Internals: Rendering UI on the Server” --- 🔖 Follow the React Internals Series #React #ReactJS #ReactSuspense #FrontendArchitecture #WebDevelopment #JavaScript #FrontendEngineering #Programming #SoftwareArchitecture #DeveloperSeries