Himanshu Sharma’s Post

I will show you a cool thing in React → that can make heavy UI updates feel much smoother It’s called useDeferredValue. When your UI triggers expensive renders — like large lists, complex filters, or heavy charts — every keystroke can force React to recalculate everything. This can make the interface feel slow while the user is typing. useDeferredValue allows React to prioritize the user’s interaction first and defer the expensive update to happen slightly later. In the video, I’m typing at the same speed on both inputs, so the difference comes only from how React schedules the updates. Situations where this is useful: • search inputs filtering large datasets • dashboards with charts • tables with heavy filtering • expensive computations triggered by typing A small React feature that can noticeably improve perceived performance. #react #frontend #javascript #webdevelopment

The frontend is no longer a thin 𝗹𝗮𝘆𝗲𝗿 𝗼𝘃𝗲𝗿 𝗔𝗣𝗜𝘀. It’s becoming a 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗿𝘂𝗻𝘁𝗶𝗺𝗲. And most teams aren’t architecting for this shift yet. If you’re still thinking in terms of components and pages, you’re missing where the web is heading. Here’s what’s actually changing at scale: 1. Server Components & execution shifting upstream We’re moving computation off the client bundle and into server/edge execution contexts. This reduces hydration cost, improves security boundaries, and enables data locality. 2. Streaming UI as a transport protocol HTML is no longer a static document it’s a progressive data stream. Suspense boundaries act like flow-control checkpoints, allowing the interface to materialize incrementally. 3. Edge-native state & personalization Session-aware rendering at the edge enables per-user variations without sacrificing cacheability redefining CDN strategies. 4. End-to-end type contracts TypeScript + runtime schemas + RPC layers (tRPC / OpenAPI + validators) are collapsing the frontend/backend boundary into a single type-safe graph. 5. Resumability & partial hydration The hydration model is being challenged. The future favors resumable execution and fine-grained activation over monolithic bootstrapping. 6. Network-aware rendering strategies Priority hints, speculative prefetching, and request coalescing are turning performance into an orchestration problem rather than an optimization step. The modern web stack is evolving from: UI Rendering → Distributed Systems Design We’re optimizing not just for pixels… but for latency budgets, execution locality, and user-perceived time. The next generation of web engineers won’t just write components. They’ll design execution pipelines. Which shift do you think will reshape frontend architecture the most? #WebArchitecture #FrontendEngineering #DistributedSystems #NextJS #EdgeComputing #PerformanceEngineering #TypeSafety

🧠 𝗥𝗲𝗮𝗰𝘁 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗧𝗶𝗽 #5: 𝒖𝒔𝒆𝑫𝒆𝒇𝒆𝒓𝒓𝒆𝒅𝑽𝒂𝒍𝒖𝒆 𝘃𝘀 𝑫𝒆𝒃𝒐𝒖𝒏𝒄𝒆 Many developers solve laggy UIs using debounce or throttle. But 𝒖𝒔𝒆𝑫𝒆𝒇𝒆𝒓𝒓𝒆𝒅𝑽𝒂𝒍𝒖𝒆 solves a different problem. Debounce: • Waits before updating • Uses a fixed delay Throttle: • Limits update frequency • Still blocks rendering occasionally 𝒖𝒔𝒆𝑫𝒆𝒇𝒆𝒓𝒓𝒆𝒅𝑽𝒂𝒍𝒖𝒆: • No fixed delay • React schedules work based on device performance • Rendering is interruptible if the user keeps interacting This makes it ideal for render-heavy UI, not for reducing network calls. Example use cases: • Search results lists • Large filtered datasets • Data visualizations • Expensive components Key idea: 👉 Prioritize user interactions first 👉 Let expensive UI catch up later #React #JavaScript #FrontendPerformance

⚡ Technical Insight: Why Your Next.js Page Might Render Blank While working on a dashboard in Next.js, I faced something frustrating: The route existed. The data existed. The build succeeded. But the page rendered… nothing. After debugging, here’s what I learned 👇 1️⃣ Server vs Client Component Confusion Using hooks like useState or useEffect inside a Server Component without "use client" can silently break rendering logic. Understanding when a component runs on the server vs browser is critical. 2️⃣ Incorrect Data Fetching Pattern Fetching data in the wrong layer (client instead of server or vice versa) can cause hydration mismatches or empty renders. Choosing the correct strategy: Server-side fetching for secure data Client-side fetching for interactive UI 3️⃣ Broken Import Paths in Monorepo Setup One incorrect alias or deleted utility file can break a route without obvious UI feedback. Build success doesn’t always mean runtime correctness. What This Taught Me Frontend at scale is not just styling components. It’s: Understanding rendering lifecycle Managing data boundaries Structuring apps for maintainability Debugging systematically The more I work with React and Next.js, the more I realize: Architecture decisions matter more than code volume. Still learning. Still refining the craft. #NextJS #ReactJS #FrontendEngineering #WebArchitecture #Debugging #LearningInPublic

🚀 Refactoring: one step back, two steps forward toward a scalable architecture Recently, I revisited my Auth logic in my project NextOne and realized my "pseudo-actions" were creating tight coupling between the UI and business logic. To scale my Feature-based architecture, I decided to refactor Sign-in, Sign-up, and Sign-out processes into dedicated custom hooks. ⁉️ The Problem: My previous signInAction was a mix of logic, manual routing, and side effects (toasts) passed as arguments. It worked, but it wasn't "React-way" enough for a clean architecture. 📈 The Solution: useSignIn Hook I encapsulated everything into a custom hook using: ▪️ useTransition: To handle loading states (isPending) natively without extra useState. ▪️ React Hook Form + Zod: Seamless integration for validation. ▪️ Centralized Side Effects: Using sonner (ShadcnUI) for toasts and next/navigation for redirects directly where the logic lives. What I gained: ✅ Clean Components: Forms now only receive one hook, keeping the UI declarative. ✅ Better UX: Instant feedback via isPending status for loading buttons. ✅ Reusability: The same logic is now easily shared across different Auth views. Refactoring isn't about rewriting; it's about making the code easier to reason about for the next developer (or my future self). How do you balance "Server Actions" vs "Custom Hooks" in your Next.js projects? Do you prefer keeping side effects in actions or moving them to the client-side hooks? Let's discuss in the comments! 🙋♂️ Check the full code of NextOne in the first comment below! 👇 #NextOne #NextJS #ReactJS #CleanCode #Fullstack #WebDevelopment #Frontend #Architecture

Understanding how a framework processes requests is fundamental to building scalable web applications. This visual breaks down the request response lifecycle in Next.js, showing how routing, rendering, and data fetching work together to deliver fast and optimized user experiences. When developers understand the architecture behind the framework, they can design applications that are not only functional but also performant, maintainable, and scalable. Clear system design is often the difference between an application that simply works and one that performs at scale. . . . . . . . . . #NextJS #WebDevelopment #SoftwareEngineering #FullStackDevelopment #WebArchitecture #JavaScript

Architectural lesson of the day: Never mix Server-Side and Client-Side pagination paradigms. Today, I went down a React state-management rabbit hole while building a financial data table with Next.js and TanStack React Table. The Goal: Minimize expensive database queries by fetching records in batches of 50, but displaying them in manageable chunks of 10 for a better UX. The Trap: I let the UI library handle the local pagination (10 rows), while Next.js and the URL handled the server batches (50 rows). The Nightmare: Two pagination systems fighting each other. Whenever a user hit refresh (F5), the local UI state evaporated, but the server page remained. The UI would jump back to the first 10 rows of the batch, completely losing the user's place. To fix it, I found myself writing hacky URL parameters (?startFromEnd=1) and complex useMemo/useEffect logic just to keep the UI and Server in sync. I realized I was building a fragile house of cards. The core issue? I was forcing a UI library to manage architectural state. The Refactor (Separation of Concerns): The Server: Still fetches the optimal batch of 50 rows to keep DB costs low. The Component State: Manages a simple manual slice of the array (data.slice(...)) based on local state or URL. The Table Library: Stripped of all its internal pagination logic (getPaginationRowModel()). It is now a "dumb" component that simply renders the 10 rows it is handed. The Result: I deleted dozens of lines of complex lifecycle code. No more useEffect sync issues, no more URL hacks, and the UI state is rock solid even on refresh. The Takeaway: UI libraries are incredibly powerful, but don't let them blur your architectural boundaries. Keep your source of truth single, clean, and determinable. How does your team handle the balance between UX (small pages) and DB costs (large batches)? Let me know below! 👇 #ReactJS #NextJS #WebDevelopment #SoftwareEngineering #Architecture #Frontend

Day 5 — State: Managing Data Inside Components ⚛️ State is used to store data that changes over time inside a component. State makes UI interactive When state updates → React re-renders the UI Managed inside the component Updated using useState Example const [count, setCount] = useState(0); <button onClick={() => setCount(count + 1)}> Count: {count} </button> 📌 Click → State changes → UI updates automatically State vs Props Props → Read-only, passed from parent State → Changeable, owned by component 🧠 In one line: State lets React components remember and update dynamic data. #React #ReactTips #LearnReact

🚀 𝗙𝗶𝘅𝗶𝗻𝗴 𝗦𝗹𝗼𝘄 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗟𝗮𝗿𝗴𝗲 𝗥𝗲𝗮𝗰𝘁 𝗟𝗶𝘀𝘁𝘀 (𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗢𝘃𝗲𝗿𝗰𝗼𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗖𝗼𝗱𝗲) Struggling with laggy UI when rendering large lists in React? You're not alone. The good news — you don’t need complex architectures to fix it. 💡 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀: • Use list virtualization (𝗿𝗲𝗮𝗰𝘁-𝘄𝗶𝗻𝗱𝗼𝘄 / 𝗿𝗲𝗮𝗰𝘁-𝘃𝗶𝗿𝘁𝘂𝗮𝗹𝗶𝘇𝗲𝗱) • Avoid unnecessary re-renders with memoization • Keep keys stable and meaningful • Break components into smaller, reusable pieces • Lazy load data when possible ⚡ 𝗦𝗺𝗮𝗹𝗹 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 = 𝗕𝗶𝗴 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘄𝗶𝗻𝘀. Clean code. Faster UI. Better UX. #ReactJS #FrontendDevelopment #WebPerformance #JavaScript #UIUX #SoftwareEngineering #CleanCode #PerformanceOptimization

React state is asynchronous. And in high-interaction, high-energy applications — that matters. Ever updated state and immediately needed the latest value… but React still gave you the old one? In complex dashboards, workflow engines, or rapid UI interactions, that delay can introduce subtle bugs and stale state issues. One pattern I use is combining state with a ref-based synchronous layer. Why? State → triggers re-render Ref → always holds the latest value instantly This gives: ✅ Immediate access to the newest value ✅ No stale closure headaches ✅ More predictable async logic ✅ Better control in event-heavy flows But let’s be real 👇 ⚠️ It’s not a replacement for good state architecture ⚠️ Can be misused if the team doesn’t understand the pattern ⚠️ Should solve a real problem — not just feel “clever” The real takeaway? Refs are not just for DOM access. They’re a powerful mutable memory layer inside React’s functional model. Small patterns like this can dramatically stabilize production apps. Have you faced stale state bugs in React? How did you solve them? #ReactJS #FrontendEngineering #JavaScript #ReactHooks #WebDevelopment #SoftwareArchitecture #CleanCode #EngineeringMindset