Optimizing React Performance with useMemo & useCallback

🚀 Frontend Learning — Code Splitting vs Lazy Loading (Stop Confusing These) A lot of developers use these terms interchangeably… -> But they are NOT the same Understanding this can seriously improve your app performance ⚡ ⚠️ Code Splitting (The Strategy) -> Breaking your bundle into smaller chunks Instead of one big JS file ❌ -> You ship multiple smaller files import("./Dashboard"); -> Bundlers like Webpack automatically split code ⚡ Lazy Loading (The Technique) -> Loading code only when it’s needed const Dashboard = React.lazy(() => import("./Dashboard")); -> Component loads only when user visits that route 🧠 Key Difference -> Code Splitting = How code is divided -> Lazy Loading = When code is loaded 🔥 Real-World Example Without optimization: -> Entire app loads at once -> Slower initial load With splitting + lazy loading: -> Faster initial load -> Load features on demand -> Better user experience 💡 Pro Insight -> Code splitting happens automatically (mostly) -> Lazy loading is something you implement intentionally 🎯 When to Use -> Large applications -> Multiple routes/pages -> Heavy components (charts, dashboards) 🎯 Key Takeaway Performance is not about faster code… -> It’s about loading less code at the right time At a senior level, optimization is not optional… -> It’s part of your design thinking #FrontendDevelopment #ReactJS #JavaScript #Performance #WebDevelopment #CodingTips #Developers #LearnInPublic #DeveloperJourney

I tried learning it the “traditional way” — class components, lifecycle methods… and honestly, it felt overwhelming. Then I discovered React Hooks — and suddenly, everything started making sense. Hooks didn’t just simplify React for me — they completely changed how I think about building UI. Here’s the mental map that helped me the most: ⚡ useState — manage local state easily ⚡ useEffect — handle side effects like API calls 🔵 useRef — store values without triggering re-renders 🔵 useContext — share data across components 🟡 useMemo — optimize expensive calculations 🟡 useCallback — prevent unnecessary re-renders 🟢 useReducer — handle complex state logic 🟢 useLayoutEffect — run logic before the browser paints 💡 What helped me improve: • Mastering useState & useEffect deeply • Building small projects instead of just watching tutorials • Creating custom hooks to reuse logic • Understanding how data flows in React • Focusing on optimization only when needed The biggest realization? 👉 Hooks are not just features — they are a way of thinking. If you're learning React right now — don’t rush. It takes time, but once it clicks, everything feels much easier. I’m still learning and improving every day 🚀 Which React Hook did you find the most confusing at first? 👇 #ReactJS #WebDevelopment #JavaScript #Frontend #ReactHooks #Coding #LearnToCode #SoftwareEngineering

Building features is easy. Making them actually useful? That’s the real work. Recently, I worked on a feature where creators can track their performance analytics and download reports in PDF & Excel. Sounds simple, right?? But the real challenge wasn’t just building it — It was making sure: - Data is accurate - Download works smoothly - UI is easy to understand - And most importantly performance doesn’t drop. Because at the end of the day, users don’t care about how complex your code is. They care about whether it works — fast and clearly. Still learning, still improving. #coding #frontend #reactjs #buildinpublic #learning #developerlife

Day 57 of 100 Days of AI — 🎨 Frontend Work Begins Backend done. Time to build what users actually see. Started working on the frontend today — a clean landing page where people can subscribe to the newsletter. Hosting it on Cloudflare, built in Next.js. One thing I tried differently today — used Claude to help design the UI. Described what I wanted, iterated on the design in real time, and got something that actually looks good without spending hours on Figma or fighting with CSS from scratch. The design process felt completely different — faster, more collaborative, less painful. The page is simple by design. One clear message. One action. Subscribe. No fluff. No feature bloat. Just — here's what you get, here's where you sign up. When the backend is this solid the frontend almost writes itself. Almost. #100DaysOfAI #BuildInPublic #NextJS #CloudflareWorkers #AIEngineering #Python #Newsletter #SideProject #Frontend

🚀 Just wrapped up a new project: A Student Management CRUD Application! I built this to deepen my understanding of how to manage data dynamically on the frontend. It allows users to Create, Read, Update, and Delete student records with a clean, dark-themed UI. Key Features: ✅ Dynamic Data Entry: Add students with Name, Email, GPA, Age, and Degree. ✅ Real-time Search: Filter through records by name, email, or degree instantly. ✅ Data Persistence: Leveraging JavaScript to handle state and UI updates. Tech Stack: HTML5 | CSS3 | JavaScript (ES6+) I’m continuously looking for ways to optimize my code and improve user experience. Feedback is always welcome! #WebDevelopment #JavaScript #CodingProject #Frontend #StudentManagement #LearningToCode

I thought I understood React state. Then I tried to build a real AI-powered Notes app. And everything fell apart.. My components were a mess.. AI features couldn't "see" which note was selected. The sidebar didn't know what the editor was doing. It felt like I was coding… but I was just guessing. That's when I stopped and asked the real question: "𝐖𝐡𝐞𝐫𝐞 𝐬𝐡𝐨𝐮𝐥𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐥𝐢𝐯𝐞?" Here's what I was getting wrong: I was storing state 𝐢𝐧𝐬𝐢𝐝𝐞 components that needed it. But the problem is multiple components needed the 𝐬𝐚𝐦𝐞 data. • The AI panel needs to know which note is selected • The sidebar needs to highlight the active note • The editor needs to read AND update the same note They're in completely different parts of the tree. Local state couldn't reach any of them. Then it clicked. The note wasn't a component's concern. It was the 𝐚𝐩𝐩'𝐬 concern. That's exactly what React Context solves. Instead of passing props 4 levels deep (prop drilling)… You create one global "source of truth" that any component can tap into. 𝒋𝒔𝒙 // 𝑨𝒏𝒚 𝒄𝒐𝒎𝒑𝒐𝒏𝒆𝒏𝒕. 𝑨𝒏𝒚𝒘𝒉𝒆𝒓𝒆 𝒊𝒏 𝒕𝒉𝒆 𝒕𝒓𝒆𝒆. 𝒄𝒐𝒏𝒔𝒕 { 𝒔𝒆𝒍𝒆𝒄𝒕𝒆𝒅𝑵𝒐𝒕𝒆, 𝒖𝒑𝒅𝒂𝒕𝒆𝑵𝒐𝒕𝒆 } = 𝒖𝒔𝒆𝑵𝒐𝒕𝒆𝒔() Three lines of setup. Zero prop drilling. Every component instantly in sync. But here's the part nobody talks about: Context isn't just a React trick. It's a thinking decision. • What data belongs to one component? → local state • What data belongs to the whole app? → context • What data belongs to the server? → service layer Getting this wrong doesn't just create bugs. It creates code you're afraid to touch. The developers who grow fastest aren't the ones who know the most APIs. They're the ones who pause and ask: "Where does this actually belong?" Before writing a single line. Now I follow a simple rule: 👉 If more than one component needs it, it doesn't belong to any of them. Still building this app in public. Still making architectural mistakes. But each one is teaching me something tutorials never could. What's a React concept that only made sense when you broke something trying to use it? #BuildInPublic #ReactJS #WebDevelopment #AIEngineering #JavaScript #SoftwareEngineering

Today I learned Context API and built a dark/light theme switcher to understand it properly. Here's what I actually built: A product card that switches between light and dark mode using a toggle button. No prop drilling. No passing functions 5 levels deep. Just Context. The thing that clicked for me: Before Context API, if a child component needed data from the top of the app, you'd pass it down as props through every component in between even the ones that don't need it. That's called prop drilling and it gets messy fast. Context API solves this by creating a "global store" that any component can just plug into directly. How I set it up in 3 steps: 1️⃣ Created the context : ThemeContext with themeMode, lightTheme, and darkTheme as defaults 2️⃣ Wrapped the whole app in <ThemeProvider> and passed the real state + functions as value 3️⃣ In any component that needs it just call useTheme() and the theme state is right there. No props. No drilling. The useEffect part was interesting too. Whenever themeMode changes, it removes the old class from the <html> tag and adds the new one. Tailwind picks that up and switches the whole UI instantly. One toggle. Two lines of state. The whole app responds. Still small projects — but the concepts are getting real now. Learning this from Hitesh Choudhary and Chai Aur Code What did you use before you discovered Context API? I was passing props everywhere... Github CodeBase : https://lnkd.in/d-gxU5Dw #LearningInPublic #ReactJS #ContextAPI #JavaScript #Frontend #WebDevelopment #BuildInPublic #100DaysOfCode

Code is only as good as the problem it solves. As I wrap up my 2nd year at Bennett University, one of the most impactful courses I’ve taken has been Design Thinking and Innovation (DTI). Moving from standard computer programming into a space where empathy, ideation, and user research dictate the technology has been a game-changer. Throughout this course, we learned to: -Empathize with users to find the friction points in their daily lives. -Prototype rapidly, moving from messy ideas to functional solutions. -Iterate based on honest feedback, realizing that the first draft is never the final product. Applying these principles to our final team project—CrackDetect AI—was an incredible challenge. We bridged the gap between raw logic and real-world utility by building an intelligent structural analysis tool that instantly detects and assesses building defects. Here is the tech stack we used to bring it to life: Frontend: React.js & Tailwind CSS (Deployed on Vercel) Backend: Node.js & Express (Deployed on Render) AI Engine: Google Gemini 2.5 Flash API (For JSON-structured visual diagnostics) Grateful for my brilliant team—Aniruddh Kumar ,Aryan Bansal and Parth parashar—for the late-night debugging sessions and constant innovation. Onward to the next build! Check out our live app and documentation here: https://lnkd.in/gwXAeR-g #BennettUniversity #DesignThinking #Innovation #TechJourney #ReactJS #NodeJS #ArtificialIntelligence #ProblemSolving

I used to waste hours jumping between 10–15 tabs just to understand one concept. Docs in one tab. YouTube in another. Code playground somewhere else. And my notes? Completely scattered. 😅 It was messy, slow, and honestly… frustrating. Recently, I came across something that genuinely fixed this problem for me 👉 Dlearn.info This isn’t just another learning website — it feels like a complete developer workspace. Here’s why it stood out: 🚀 Learn + Build Together Every concept comes with a live interactive playground (Sandpack). You don’t just read — you experiment instantly and see results in real time. 📑 Structured Deep Learning (DWKEC Framework) Instead of surface-level content, it breaks everything into: Definition How it works (under the hood) Key takeaways Real-world examples This actually helps concepts stick, especially for React, Next.js, and System Design. ⚡ Clean, Distraction-Free UI No clutter. No unnecessary noise. Just pure focus — like using a premium dev tool. 💎 100% Free No paywalls. No upsells. Just genuine value for developers. If you’re preparing for interviews or trying to deeply understand frontend and architecture concepts without the usual chaos, this is definitely worth checking out. 🔗 https://dlearn.info/ Sometimes, the best tools are the ones that simplify everything. #Frontend #WebDevelopment #ReactJS #NextJS #SystemDesign #CodingInterviews #Developers #Learning #SoftwareEngineering

🚀 𝐓𝐮𝐫𝐧𝐢𝐧𝐠 𝐎𝐒 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐈𝐧𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 Ever tried to truly *visualize* how an Operating System handles memory allocation behind the scenes? It’s one thing to read about it, but seeing it unfold makes all the difference. 💡 I’m thrilled to present my project: Dynamic Memory Management Visualizer — a web-based tool that transforms complex OS concepts into an intuitive and interactive experience. While studying, I realized that topics like memory fragmentation, paging, and compaction often feel abstract and difficult to grasp. This project aims to bridge that gap by simulating real-world OS behavior in a visually engaging way. 🔍 𝐖𝐡𝐚𝐭 𝐭𝐡𝐢𝐬 𝐭𝐨𝐨𝐥 𝐨𝐟𝐟𝐞𝐫𝐬: ✨ Real-time Paging Simulation with FIFO & LRU algorithms, including page hit/fault tracking and insights into Belady’s Anomaly ✨ Dynamic Segmentation with First-Fit, Best-Fit, and Worst-Fit allocation strategies ✨ Smart Detection of External Fragmentation when memory allocation fails despite available space ✨ Interactive Memory Compaction that reorganizes memory blocks to optimize utilization 🛠️ 𝐓𝐞𝐜𝐡 𝐁𝐞𝐡𝐢𝐧𝐝 𝐓𝐡𝐞 𝐒𝐜𝐞𝐧𝐞𝐬: 🔹 React.js (Vite) for a fast and responsive frontend 🔹 Tailwind CSS for a clean and modern UI 🔹 Framer Motion to bring smooth and meaningful animations 🔹 JavaScript for implementing custom memory allocation logic Working on this project with my teammates Harsha Soni and Nisha gave me a much deeper understanding of how operating systems efficiently manage memory and the trade-offs involved in different strategies. 🎥 Check out the demo video below to see how memory compaction works in action! 🔗 GitHub Repository: https://lnkd.in/gf3hMsiW I’m curious to know your thoughts — how do you think emerging technologies like AI can enhance memory management in future operating systems? Drop your ideas below 👇 #OperatingSystems #ReactJS #WebDevelopment #ComputerScience #MemoryManagement #CodingJourney #SoftwareEngineering #TechProjects #LovelyProfessionalUniversity