Prathamesh P. Sakhare’s Post

👉 “Same data. Same values. Different render. Welcome to React’s reference equality.” You wrote the logic right. Your data didn’t change. But your component still re-renders… 🤯 Let’s break the illusion 👇 React doesn’t compare objects by value. It compares them by reference. So even if this looks identical: { value: 10 } !== { value: 10 } 👉 React sees it as changed 👉 Your useMemo runs again 👉 Your memoization breaks 👉 Performance takes a hit ⚠️ The Hidden Trap useMemo(() => { // runs every render 😬 }, [{ value: 10 }]); Every render = new object New object = new reference New reference = React thinks “changed” ✅ The Right Way ✔️ Use primitive dependencies ✔️ Extract specific fields 🧠 Golden Rule React is fast. But it trusts references, not intentions. 🎯 Final Thought Most React bugs aren’t in your logic… They’re in how React interprets your data. #ReactJS #JavaScript #FrontendDevelopment #WebDevelopment #SoftwareEngineering #ReactHooks #WebPerformance #CleanCode #Programming #Developers #TechCommunity #CodingLife #DevCommunity #LearnToCode #CodeNewbie #100DaysOfCode #DeveloperLife #TechTips #PerformanceOptimization #UIEngineering

- A React Design Principle that Helped Me Write Better Code Previously, I used to pass data through a chain of components… props → child → child → child 😅 It was fine but eventually got messy and complicated. Later, I learned this 👇 👉 Don't pass data unnecessarily Now, my focus is on: • Leveraging Context API for data sharing • Minimizing and optimizing props • Organizing components better For instance: Instead of passing the same data through 4-5 components, I leverage Context to access it whenever needed. This simple principle has allowed me to: ✅ Cut down on unnecessary code ✅ Enhance code readability ✅ Make components easier to handle Writing good code in React goes beyond data transfer; it's about efficient data transfer. 💬 Have you encountered prop drilling in your work? #ReactJS #ReactNative #FrontendDevelopment #ReactDesignPrinciples #ContextAPI #CodeRefactoring #WebDevelopment #ComponentOrganization #SoftwareEngineering #FrontendEngineer #ProgrammingTips #DevCommunity

Using index as a key is dangerous Every React developer has written this at least once. items.map((item, index) => (  <li key={index}>{item}</li> )) Looks fine. Works fine. But it isn't This is Post 5 of the series: 𝗥𝗲𝗮𝗰𝘁 𝗨𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗛𝗼𝗼𝗱 Where I explain what React is actually doing behind the scenes. Here's what actually happens when you use index as key: You delete one item from a list. React doesn't know which item was removed. It just looks at positions. So it re-renders everything from that index downward. Input states get mismatched. Animations break. Bugs appear that you can't even reproduce consistently. And... No error. Just... wrong behavior. 🔑 Here's what React actually needs: A key isn't just something unique. It needs to be stable, unique, AND tied to the data — not the position. ❌ key={index} → breaks on delete, sort, filter  ❌ key={Math.random()} → new key every render = React destroys and recreates the node  ✅ key={item.id} → stable, reliable, React knows exactly who is who The rule is simple: If your list can ever be reordered, filtered, or deleted from... index as key will silently break your UI. Use your data's ID.  If it doesn't have one, generate it at creation — not during render. const newItem = { id: crypto.randomUUID(),   name: "New Task" } One tiny prop.  Massive impact on how React tracks your entire list. In Post 6 of React Under the Hood: What Happens When You Call setState Follow Farhaan Shaikh if you want to understand react more deeply. 👉 Read the previous post - Understanding diffing algorithm: https://lnkd.in/dzW3NP_V #SoftwareEngineering #ReactJS #WebDevelopment #JavaScript #FrontendDevelopment #BuildInPublic #LearnInPublic #ReactUnderTheHood

🚀 Back in the Flow: Mastering Performance in React After a brief break, I’m back to what I love—building and solving logic. Today, I focused on optimizing search functionality using Debouncing in React. When building a search bar, hitting an API on every single keystroke is expensive and inefficient. To solve this, I implemented a custom debouncing logic inside a useEffect hook. 💡 Key Highlights of this Implementation: Controlled Input: Using useState to manage the search query. Debounce Logic: I used setTimeout to delay the API call by 700ms. This ensures the request only fires after the user has stopped typing. Memory Management: A crucial cleanup function (clearTimeout) to prevent memory leaks and race conditions if the user continues typing. Async/Await: Handling API fetching cleanly within the hook. Building these kinds of "logic-heavy" small components is what sharpens the mind for large-scale applications. It's not just about making it work; it's about making it efficient. GitHub repo : https://lnkd.in/dBw2y6m4 Consistency is the only currency in tech. Onwards and upwards! 📈 #ReactJS #WebDevelopment #MERNStack #FrontendEngineering #CodingJourney #JavaScript #Debouncing #CleanCode

If you’re writing 5 files just to toggle a boolean... 🛑 You’re not scaling. You’re over-engineering. For a long time, I used Redux for almost everything in React. And honestly? It felt powerful... but also unnecessarily complex for 90% of my use cases. Recently, I switched to Zustand — and the difference is 🔥 Why Zustand just makes sense: ✅ Zero Boilerplate No Providers. No massive folder structures. Just create and use. ✅ Hook-Based If you know useState, you already understand Zustand. It feels like native React. ✅ Performance First It handles selective re-renders out of the box. Only the components that need the data will update. 💻 The "Store" is this simple: JavaScript import { create } from 'zustand' const useStore = create((set) => ({ count: 0, inc: () => set((state) => ({ count: state.count + 1 })), })) Use it anywhere: JavaScript function Counter() { const { count, inc } = useStore() return <button onClick={inc}>{count}</button> } ⚡ 𝗣𝗥𝗢 𝗠𝗢𝗩𝗘 (Most developers miss this): Use selectors to grab only what you need: const count = useStore((state) => state.count) This keeps your app lightning-fast even as your state grows massive. 📈 Since switching, my code is: → Simpler → Cleaner → Easier to maintain 🟣 Team Redux (The tried and true) 🐻 Team Zustand (The minimalist) #ReactJS #Zustand #JavaScript #WebDevelopment #Frontend #CodingTips #SoftwareEngineering

𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗺𝗼𝗱𝘂𝗹𝗲 𝗳𝗼𝗿𝗺𝗮𝘁𝘀 𝗰𝗮𝗻 𝗯𝗲 𝗰𝗼𝗻𝗳𝘂𝘀𝗶𝗻𝗴 — 𝗲𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗹𝘆 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗿𝘂𝗻 𝗶𝗻𝘁𝗼 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗼𝗻𝗲𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀. Here’s a quick mental model 👇 𝗖𝗼𝗺𝗺𝗼𝗻𝗝𝗦 Used in classic Node.js backends const lib = require('lib'); Simple and synchronous. Still widely used, but gradually being replaced. 𝗘𝗦 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 (𝗘𝗦𝟮𝟬𝟭𝟱+) Modern standard for browsers and Node.js import lib from 'lib'; Tree-shakable, static, and the future of JavaScript. 𝗔𝗠𝗗 Designed for browsers before native modules existed (RequireJS era) define(['dep'], function(dep) { ... }); Now mostly legacy. SystemJS Dynamic module loader System.register([...], function(...) { ... }); Used in specific cases like plugin systems or legacy apps. 𝗨𝗠𝗗 "Write once, run anywhere" format Works in both browser and Node.js if (typeof define === 'function') { ... } Common in older libraries that needed maximum compatibility. 💡 Key takeaway: Use 𝗘𝗦 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 for modern apps Expect 𝗖𝗼𝗺𝗺𝗼𝗻𝗝𝗦 in backend or legacy code Treat 𝗔𝗠𝗗 / 𝗦𝘆𝘀𝘁𝗲𝗺𝗝𝗦 / 𝗨𝗠𝗗 as historical or niche Understanding these formats makes debugging build issues much easier. #JavaScript #Frontend #WebDevelopment #NodeJS #SoftwareEngineering #DevTips #Programming

🚀 Mastering Performance: React Memoization & Modern Tooling I've been diving deep into web performance optimization, specifically focusing on how React handles re-renders and the impact of modern build tools like Vite. Here is a breakdown of my recent learnings: * Vite & the Move to OXC While older versions of Vite relied on Rollup for bundling, Vite @latest leverages the OXC compiler. Rollup: Excellent for combining multiple files into a single bundle. OXC: A high-performance compiler toolset that processes individual pieces of code much faster than traditional tools like Babel. * Memoization: Why It Matters Memoization is all about efficiency—remembering work already done so it doesn't have to be repeated. In React, this is crucial for preventing "falty reconciliation" (unnecessary re-renders). The Problem: Since functions are reference data types, their memory address changes on every render of a parent component. This causes child components (like an <About /> component) to re-render even if their data hasn't changed. The Solution: Using React.memo to cache the component. This saves RAM and processing power by ensuring a re-render only happens if the props actually change. - Key Techniques Learned: Component Memoization: Using React.memo() (via Higher Order Component or direct definition) to prevent unnecessary child updates. Function & Value Memoization: Utilizing the useCallback and useMemo hooks for granular control over memory and reference stability. Logic Check: React.memo performs a shallow comparison: $PrevProp === NewProp$ ? No Re-render : Re-render. Staying updated with these optimizations is key to building fast, scalable, and user-friendly applications! #ReactJS #WebDevelopment #FrontendEngineering #Vite #PerformanceOptimization #CodingTips #JavaScript #Memoization

Most React tutorials are still teaching 2020 patterns. In 2026, the ecosystem has shifted dramatically: React 19 is stable, the compiler handles most memoization automatically, and useEffect should be a last resort — not your go-to for data fetching, derived state, or event responses. This guide walks you from project setup to production-ready patterns, with a cheat sheet you can bookmark. #react #web #frontend #next #frontend #performance #javascript #tips #typescript #nextjs

🚀 Memoization in React — When useMemo & useCallback Actually Matter Most developers learn useMemo and useCallback… 👉 But very few understand when to use them correctly And that’s where performance is won (or lost). 💡 What is Memoization? Memoization is an optimization technique: 👉 Cache the result → Avoid recomputation In React, it helps prevent: Expensive calculations Unnecessary re-renders Function re-creations ⚙️ The Real Problem Every render in React: ❌ Recreates functions ❌ Recomputes values ❌ Triggers child re-renders 👉 Even if nothing actually changed 🔥 Where useMemo Helps const filteredData = useMemo(() => { return data.filter(item => item.active); }, [data]); ✅ Avoids expensive recalculations ❌ But useless for cheap operations 🔥 Where useCallback Helps const handleClick = useCallback(() => { console.log("Clicked"); }, []); 👉 Useful only when: Passing to child components Used with React.memo 🧠 The Real Optimization Rule 👉 Memoization only matters when: ✔ Expensive computation exists ✔ Reference equality affects rendering ✔ Component re-renders are costly ⚠️ Biggest Mistake Developers Make // ❌ Over-optimization const value = useMemo(() => count + 1, [count]); 👉 You added complexity without benefit 🔥 When NOT to use Memoization ❌ Simple calculations ❌ Small components ❌ No performance issue 👉 Premature optimization = bad code 💬 Pro Insight (Senior-Level Thinking) React is already optimized. 👉 Your job is NOT to optimize everything 👉 Your job is to optimize bottlenecks only 📌 Save this post & follow for more deep frontend insights! 📅 Day 16/100 #ReactJS #FrontendDevelopment #JavaScript #PerformanceOptimization #ReactHooks #SoftwareEngineering #100DaysOfCode 🚀

🔥 Redux vs Redux Toolkit — Stop Writing Boilerplate! If you're still writing traditional Redux code with multiple files for actions, reducers, and types… you're doing extra work 😅 👉 Enter Redux Toolkit (RTK) — the modern, official way to use Redux. --- 💡 What changed? ❌ Before (Redux): - Separate action types - Separate action creators - Separate reducers - Manual immutability ✅ Now (Redux Toolkit): - "createSlice()" → actions + reducer in one place - "configureStore()" → simple setup - Built-in Immer → write "mutable" code safely --- 💻 Example: Counter using Redux Toolkit import { createSlice, configureStore } from "@reduxjs/toolkit"; const counterSlice = createSlice({ name: "counter", initialState: { count: 0 }, reducers: { increment: (state) => { state.count += 1; // No spread operator needed! }, decrement: (state) => { state.count -= 1; }, }, }); const store = configureStore({ reducer: { counter: counterSlice.reducer, }, }); export const { increment, decrement } = counterSlice.actions; export default store; --- 🎯 Why it matters (Interview + Real Projects) ✔ Less code, more clarity ✔ Easy to scale large apps ✔ Cleaner architecture ✔ Faster development --- 🚀 Pro Tip: Start using RTK Query for API calls — it can replace "useEffect + Axios" completely! --- 💬 My Take: Redux isn’t outdated — but Redux Toolkit is now the standard way to write Redux. --- #ReactJS #Redux #ReduxToolkit #JavaScript #Frontend #WebDevelopment #InterviewPrep