I rebuilt my entire frontend in 2 weeks. Here's what I'd change if I did it again. The project: a real-time analytics dashboard. React + TypeScript + Tailwind. What went right: → Component-first architecture. Every UI element is a reusable component. Adding new features now takes hours instead of days. → Tailwind over custom CSS. Consistent spacing, responsive by default, zero CSS file management. The 8px grid system keeps everything aligned. → Real-time data via WebSockets. Sub-100ms updates. Users see live data, not stale snapshots. What I'd change: → Started with too many features. Should have shipped the MVP with 3 views, not 8. Half of them got redesigned anyway. → Didn't set up E2E tests early. Added Playwright tests in week 3. Should have been day 1. Found 4 bugs that manual testing missed. → Overcomplicated state management. Started with Redux. Ripped it out for React context + hooks. Simpler. Faster. Less boilerplate. The biggest lesson: ship early, iterate fast. The first version is never the last version. What's a technical decision you'd redo? Not financial advice. #React #TypeScript #Tailwind #WebDevelopment #FrontendDev #BuildInPublic #SoftwareEngineering #FullStack
Rebuilding Frontend in 2 Weeks: Lessons Learned
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Every React codebase has a junk drawer component. You know the one. Open the useEffect and find: data fetching, a DOM subscription, an analytics call, a state sync with localStorage, and a resize listener. Five different jobs. One hook. Zero separation. It happens because useEffect is the only place React gives you to say 'do something after render'. So everything that doesn't fit neatly into JSX or state gets thrown in there. The problem isn't useEffect. It's that one hook is doing five unrelated things with one shared lifecycle. When any dependency changes, everything in that effect re-runs. Your analytics fires again. Your subscription resets. Your fetch triggers for the wrong reason. I started splitting effects by job, not by timing. One effect for the fetch. One for the subscription. One for analytics. Each with its own cleanup. Its own dependencies. It felt like more code. But each effect became debuggable in isolation. When the fetch broke, I didn't have to read through subscription logic to find the bug. useEffect isn't a lifecycle method. It's a synchronization primitive. When you treat it like componentDidMount, you get a junk drawer. When you treat it like "keep this in sync with that", you get clarity. #ReactJS #Frontend #SoftwareArchitecture #WebDevelopment #CodeQuality
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Higher-Order Components are often called “old React.” But that’s only half the story. In React, HOCs introduced one of the most important ideas in frontend architecture: 👉 Separating behavior from UI Most developers focus on what components render But scalable systems depend on how behavior is reused That’s where HOCs changed the game: Wrap components without modifying them Inject logic like auth, logging, loading Keep UI clean and focused ⚡ Where HOCs still matter today: • Legacy codebases • Authentication & route guards • Analytics / logging layers • Enterprise abstraction layers 🧠 What I learned working on real systems: Hooks made things simpler — no doubt. But they didn’t replace the idea behind HOCs. Because at scale: 👉 You don’t just write components 👉 You design reusable behavior layers 💡 The real takeaway: HOCs are not about syntax. They’re about thinking in abstractions. And once you start thinking this way — your frontend code becomes: ✔️ Cleaner ✔️ More reusable ✔️ Easier to scale #️⃣ #reactjs #frontenddevelopment #javascript #softwarearchitecture #webdevelopment #coding #reactpatterns
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- React Error I No Longer Make At first, I was placing all kinds of logic directly within components… Making API requests, doing calculations, writing event handlers – all mixed up. It worked… but after some time, the component became difficult to understand. Then, I discovered this 👇 👉 **Refactor logic out of components** Now, my main priorities include: • Writing custom hooks to reuse logic • Ensuring components contain only UI-related code • Proper separation of concerns For instance: Instead of performing API requests within a component, I move that logic to a custom hook (`useFetch`) or even a service layer. That little trick made my life easier by helping me: ✅ Produce cleaner components ✅ Easily reuse logic ✅ Scale better Components in React are supposed to care about *what* to display, not about *how* things work underneath the hood. 💬 Where do you place your logic, in or outside components? #ReactJS #ReactNative #FrontendDevelopment #ReactHooks #CustomHooks #CodeQuality #WebDevelopment #ComponentArchitecture #SoftwareEngineering #FrontendEngineer #DevelopmentTips #DeveloperExperience #LearnTogether #BuildTogether
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🚀 A clean frontend structure makes a project easier to build, manage, and scale. Here’s a simple frontend folder breakdown 👇 📡 API — Handles requests and communication with the backend. 🖼️ Assets — Stores static files like images, icons, and fonts. 🧩 Components — Contains reusable UI elements used across the app. 🌐 Context — Manages shared global state without prop drilling. 📂 Data — Keeps static data, constants, and mock content. 🪝 Hooks — Holds reusable custom React logic. 📄 Pages — Represents the main screens or routes of the application. 🔄 Redux — Manages complex global state in a predictable way. ⚙️ Services — Contains business logic and app-related operations. 🛠️ Utils — Includes helper functions used in different places. A good folder structure improves readability, teamwork, and scalability. 💡 #Frontend #WebDevelopment #ReactJS #JavaScript #Coding #SoftwareDevelopment #Developer
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Don't hijack your user's session. Give them a choice. 🤝 Pushing a new deployment to production is great but forcing a page reload while a user is mid-form or mid-scroll? Not so great. In my latest article, I explore how to handle New Release Refreshes in React using React Query. I compare two distinct strategies: 🔹 Soft Updates: The "Gentle" approach. Show a notification/toast letting the user know a new version is available. They decide when to refresh. 🔹 Hard Updates: The "Critical" approach. Forcing a page reload to ensure the UI and API stay in perfect sync. I break down exactly how to implement this logic so you can stop "surprising" your users with sudden reloads and start providing a polished, professional update experience. Read the full guide here: https://lnkd.in/dChnpQ49 Github repo: https://lnkd.in/dxTRANMf #ReactJS #UserExperience #ReactQuery #WebDev #FrontendArchitecture
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🚀 Frontend vs Backend - Clean Architecture in Action Sharing a glimpse of how I structure my full-stack applications to keep things organized, scalable, and production-ready. Frontend Built with a modular approach using reusable components, custom hooks, and clean separation of concerns. Each layer - from UI to API integration is structured for clarity and maintainability. Backend Designed with a solid architecture including controllers, models, routes, and services. Business logic is clearly separated, making the system easy to scale, test, and extend. A well-structured project isn't just about folders - it's about writing code that teams can understand, maintain, and grow with. Always focused on improving code quality and following best practices in modern web development. #Frontend #Backend #FullStack #ReactJS #NodeJS #ExpressJS #CleanArchitecture #WebDevelopment #SoftwareEngineering
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I read a React codebase's sidebar component top to bottom. Twelve files, one SaaS suite, zero magic. The whole thing fits in a carousel. ↓ What you'll see, file by file: → Composition by convention — numbered folder prefixes (_1/_2/_3) that enforce visual order. → Union types + Record<K,V> — the compiler refuses to build until every variant has a label. → Design tokens as data — avatar sizes, paddings, border widths all in one typed object. No JSX ternaries. → CustomSelect — one component, three+ use cases. Base styles locked, overrides via cn(). → Triple memoization on Context — useCallback on setters, useMemo on the value, fully enumerated deps. No accidental re-renders. → Animation variants as objects — Framer Motion configs live outside the component. Testable, swappable, versioned. → Exit faster than enter — 120ms out, 180ms in. Asymmetric durations feel right because they match human attention. → Effects are contracts — polling pauses when the tab is hidden. Listeners always removed in cleanup. Every slide is real code from a production SaaS frontend. Not a tutorial, not a toy example. Rust on a chip was post #01. React in the browser is post #02. Same ethos: small files, sharp decisions, no magic. Repo link in the first comment. #ReactJS #TypeScript #Frontend #NextJS
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⚛️ 𝗜𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗥𝗲𝗮𝗰𝘁 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 — 𝗨𝘀𝗶𝗻𝗴 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴 As React applications grow, bundle size increases — which directly impacts initial load time. Common problem: • large JS bundle • slow first load • unnecessary code loaded upfront A better production approach is 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴. ❌ 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴 𝘪𝘮𝘱𝘰𝘳𝘵 𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥 𝘧𝘳𝘰𝘮 "./𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥"; 𝘪𝘮𝘱𝘰𝘳𝘵 𝘙𝘦𝘱𝘰𝘳𝘵𝘴 𝘧𝘳𝘰𝘮 "./𝘙𝘦𝘱𝘰𝘳𝘵𝘴"; 𝘪𝘮𝘱𝘰𝘳𝘵 𝘚𝘦𝘵𝘵𝘪𝘯𝘨𝘴 𝘧𝘳𝘰𝘮 "./𝘚𝘦𝘵𝘵𝘪𝘯𝘨𝘴"; All components load upfront — even if not used immediately. ❌ 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗖𝗼𝗱𝗲 𝗦𝗽𝗹𝗶𝘁𝘁𝗶𝗻𝗴 𝘪𝘮𝘱𝘰𝘳𝘵 { 𝘭𝘢𝘻𝘺, 𝘚𝘶𝘴𝘱𝘦𝘯𝘴𝘦 } 𝘧𝘳𝘰𝘮 "𝘳𝘦𝘢𝘤𝘵"; 𝘤𝘰𝘯𝘴𝘵 𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥 = 𝘭𝘢𝘻𝘺(() => 𝘪𝘮𝘱𝘰𝘳𝘵("./𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥")); 𝘤𝘰𝘯𝘴𝘵 𝘙𝘦𝘱𝘰𝘳𝘵𝘴 = 𝘭𝘢𝘻𝘺(() => 𝘪𝘮𝘱𝘰𝘳𝘵("./𝘙𝘦𝘱𝘰𝘳𝘵𝘴")); 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯 𝘈𝘱𝘱() { 𝘳𝘦𝘵𝘶𝘳𝘯 ( <𝘚𝘶𝘴𝘱𝘦𝘯𝘴𝘦 𝘧𝘢𝘭𝘭𝘣𝘢𝘤𝘬={<𝘱>𝘓𝘰𝘢𝘥𝘪𝘯𝘨...</𝘱>}> <𝘋𝘢𝘴𝘩𝘣𝘰𝘢𝘳𝘥 /> <𝘙𝘦𝘱𝘰𝘳𝘵𝘴 /> </𝘚𝘶𝘴𝘱𝘦𝘯𝘴𝘦> ); } Now components load 𝗼𝗻𝗹𝘆 𝘄𝗵𝗲𝗻 𝗻𝗲𝗲𝗱𝗲𝗱. 📌 Where this helps most: • large dashboards • admin panels • multi-page apps • heavy third-party libraries 📌 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀: • faster initial load • reduced bundle size • better performance • improved user experience 📌 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: • split at route level • avoid over-splitting • use meaningful fallbacks • monitor bundle size Loading everything at once works — but splitting wisely improves performance significantly. 💬 Curious — do you apply code splitting at route level or component level? #ReactJS #CodeSplitting #Performance #FrontendDevelopment #JavaScript #WebDevelopment #SoftwareEngineering #Optimization
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🚀 Understanding useMemo vs useCallback in React — Simplified! If you're optimizing React performance, you've probably seen: 👉 useMemo 👉 useCallback They look similar… but solve different problems. 💡 What is useMemo? 👉 Memoizes a value const result = useMemo(() => { return expensiveCalculation(data); }, [data]); ✅ Recomputes only when dependencies change ✅ Avoids expensive recalculations 💡 What is useCallback? 👉 Memoizes a function const handleClick = useCallback(() => { console.log("Clicked"); }, []); ✅ Keeps function reference stable ✅ Prevents unnecessary re-renders ⚙️ Key Difference 🔹 useMemo → returns a value 🔹 useCallback → returns a function 👉 Think of it like: useMemo → “cache result” useCallback → “cache function” 🧠 Why it matters React re-renders can cause: Expensive calculations New function references Unnecessary child re-renders 👉 These hooks help optimize that 🧩 Real-world use cases ✔ useMemo: Heavy calculations Filtering/sorting large data ✔ useCallback: Passing functions to child components Preventing re-renders with React.memo 🔥 Best Practices (Most developers miss this!) ✅ Use only when needed (not everywhere) ✅ Combine with React.memo for optimization ✅ Keep dependencies accurate ❌ Don’t overuse (can hurt performance) ⚠️ Common Mistake // ❌ Overusing memoization const value = useMemo(() => count + 1, [count]); 👉 Not needed for simple calculations 💬 Pro Insight 👉 useMemo = Optimize computation 👉 useCallback = Optimize re-renders 📌 Save this post & follow for more deep frontend insights! 📅 Day 15/100 #ReactJS #FrontendDevelopment #JavaScript #ReactHooks #PerformanceOptimization #SoftwareEngineering #100DaysOfCode 🚀
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I’m actively pushing myself toward building 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 — not just writing frontend code, but owning the full flow: UI → backend → cloud. 𝗚𝗶𝘁𝗵𝘂𝗯 𝗿𝗲𝗽𝗼: https://lnkd.in/g6QWCcGm Today’s deep dive started with a classic React problem: building a 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝗳𝗼𝗹𝗱𝗲𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 that supports infinitely nested files and folders. But the real value wasn’t the UI — it was the thinking behind it. Here’s what stood out: • 𝗥𝗲𝗰𝘂𝗿𝘀𝗶𝘃𝗲 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗱𝗲𝘀𝗶𝗴𝗻 — realizing that the same component can render itself unlocked infinite nesting • The importance of a solid 𝗯𝗮𝘀𝗲 𝗰𝗮𝘀𝗲 to control recursion • Building 𝗿𝗲𝘂𝘀𝗮𝗯𝗹𝗲, 𝗲𝘃𝗲𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 by passing function references • Applying 𝗕𝗙𝗦/𝗗𝗙𝗦 𝗶𝗻 𝗮 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼 to dynamically insert nodes into a tree This is where frontend stops being “just UI” and starts becoming 𝘀𝘆𝘀𝘁𝗲𝗺 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝘁 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗹𝗲𝘃𝗲𝗹. Now I’m extending this further: • Implementing delete node functionality • Adding update/edit capabilities • Making the structure more scalable and maintainable The goal is simple: move beyond isolated features and build systems that are 𝗺𝗼𝗱𝘂𝗹𝗮𝗿, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆. Step by step, getting closer to becoming a developer who can design and ship complete systems. #React #FullStack #SystemDesign #JavaScript #LearningInPublic 🚀
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