Alternatives to the !important Keyword in CSS

⚡ 𝗬𝗼𝘂𝗿 𝗥𝗲𝗮𝗰𝘁 𝗮𝗽𝗽 𝗶𝘀 𝘀𝗹𝗼𝘄? It's probably your images. A recent deep dive shows you can cut LCP from ~8𝒔 → ~1𝒔 just by fixing image handling 👇 🧠 𝗠𝗼𝘀𝘁 𝗱𝗲𝘃𝘀 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗰𝗼𝗱𝗲... 𝗻𝗼𝘁 𝗮𝘀𝘀𝗲𝘁𝘀 👉 Images are often the 𝒉𝒆𝒂𝒗𝒊𝒆𝒔𝒕 𝒑𝒂𝒓𝒕 of your app 🚀 𝗧𝗵𝗲 6-𝘀𝘁𝗲𝗽 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸 1. Find bottleneck images (LCP first) 2. Compress aggressively (no visible quality loss) 3. Move images to a CDN (stop bundling them ❌) 4. Use modern formats (WebP / AVIF) 5. Serve responsive images (𝑠𝑟𝑐𝑠𝑒𝑡) 6. Lazy load everything below the fold ⚠️ 𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗺𝗶𝘀𝘁𝗮𝗸𝗲 Bundling images inside your React app. That means: * Bigger JS bundle * Slower load * Worse Core Web Vitals 📊 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁? Massive improvements in: * LCP * UX * SEO 🧭 𝗧𝗵𝗲 𝗻𝗲𝘄 𝗿𝘂𝗹𝗲: 👉 Treat images like infrastructure, not assets 🚀 The easiest performance win: 𝑶𝒑𝒕𝒊𝒎𝒊𝒛𝒆 𝒚𝒐𝒖𝒓 𝒊𝒎𝒂𝒈𝒆𝒔 𝒃𝒆𝒇𝒐𝒓𝒆 𝒐𝒑𝒕𝒊𝒎𝒊𝒛𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒄𝒐𝒅𝒆. 🔗 Source: https://lnkd.in/db2mgwuD #React #WebPerformance #Frontend #JavaScript #WebDev #Performance

🚀 Enhancing Web App Performance with Easy Techniques When it comes to creating scalable web applications, optimizing performance is super important! Recently, I discovered three fantastic techniques that can really boost both performance and the user experience: 🔹 Debouncing Debouncing is a great way to delay API calls until the user has finished typing. 👉 For instance, in a search bar, rather than calling the API with every keystroke, we wait until the user completes their input. ✅ This reduces unnecessary API calls ✅ It makes everything run more efficiently 🔹 Lazy Loading Lazy loading means that components are only loaded when they’re actually needed. 👉 For example, in React, we can dynamically load pages or components as required. ✅ This cuts down the initial load time ✅ It enhances the speed of the application 🔹 Throttling Throttling is all about limiting how often a function can run within a certain timeframe. 👉 A great example is preventing multiple API calls when a user clicks a button repeatedly. ✅ This helps avoid server overload ✅ It boosts stability 💡 These tiny optimizations can really make a huge difference when building scalable, high-performance applications. #WebDevelopment #ReactJS #PerformanceOptimization #JavaScript #FullStackDeveloper #LearningInPublic

I used to think… “how much difference can bundle size really make?” Like, the app is working… users can see it… so what’s the problem? 😅 But over time, I realized — bundle size actually matters a lot. 👉 What is bundle size? It’s the total size of all the JavaScript, CSS, and assets your app sends to the browser. Larger bundle = slower load time = poor user experience. 👉 How to find bundle size? In a React app, just run: npm run build → It shows the final build size. You can also use tools like: source-map-explorer webpack-bundle-analyzer These tools help you understand what exactly is increasing your bundle size. 👉 Techniques to optimize it 💡 Code Splitting Don’t load everything at once. Use React.lazy() and Suspense to load components only when needed. 💡 Tree Shaking Remove unused code automatically using ES modules. 💡 Avoid heavy libraries Some libraries can add hundreds of KBs. Always question if you really need them. 💡 Lazy load images & assets Improves initial load performance. 💡 Dynamic Imports Load features only when the user interacts with them. 💡 Minification & Compression Ensure your production build is optimized (most setups handle this). 👉 One mindset shift that helped me: “Send only what the user needs right now.” Performance is no longer optional. It directly impacts user experience, SEO, and retention. If you haven’t checked your bundle size yet… you might be shipping way more than you think 👀 #ReactJS #Frontend #WebPerformance #JavaScript #PerformanceOptimization

Building a full-stack web app from scratch has been an enlightening journey. Here are a few key lessons I wish I had known earlier: - **Geocoding is deceptively hard.** The process of converting a city name to latitude/longitude and then to an IANA timezone seems straightforward, but it can be complex. Each step can fail silently, necessitating multiple APIs and fallbacks to avoid incorrect results without any error notifications. - **Polling beats complexity for async email flows.** A simple approach of generating an ID, sending an email, and polling a status endpoint every few seconds has proven to be more reliable than configuring websockets or webhooks. This method is straightforward, dependable, and easy to debug. - **Shared components early, not late.** I encountered issues when two forms implemented geocoding with slightly different methods, including one that used a different third-party API. Such bugs are often invisible until they become problematic. Extracting components early and using them consistently is crucial. - **Design tokens scale better than per-component fixes.** By changing a single font-size value and a few color tokens in one configuration file, I was able to enhance readability across the entire app instantly, avoiding the need for per-page adjustments and potential regressions. The stack I used includes: Next.js 14, FastAPI, Supabase, and Tailwind CSS.

If you can’t explain Website vs Web App in one sentence…you don’t fully understand web development yet.! 👨💻⛔ Stop calling everything a website. This one mistake exposes you as a beginner. 👉 Website = Read-only (mostly) Static content Blogs, portfolios, landing pages Users just consume information Examples: company sites, personal portfolios 👉 Web App = Interactive Login / Signup Dashboards Real-time data & user actions Examples: social media platforms, SaaS tools #webdevelopment #beginners #frontend #javascript #coding #developers #learning #softwaredevelopment

I wasted months building slow Next.js apps… Until I realized these 7 mistakes 👇 If you're using Next.js, this might save you a lot of time (and frustration): ❌ 1. Fetching everything on the client → Your app becomes slow + bad for SEO ✅ Fix: Use Server Components or getServerSideProps ❌ 2. Adding "use client" everywhere → You lose the power of server rendering ✅ Fix: Keep components server-first, only use client when needed ❌ 3. Using <img> instead of next/image → Poor performance & no optimization ✅ Fix: Always use built-in image optimization ❌ 4. Ignoring caching → Your app reloads data unnecessarily ✅ Fix: Use ISR or caching strategies ❌ 5. Huge bundle sizes → Slower load times = worse UX ✅ Fix: Use dynamic imports (next/dynamic) ❌ 6. Messy folder structure → Hard to scale projects ✅ Fix: Organize like a pro (app/, components/, lib/) ❌ 7. Not using API routes → Missing full-stack power ✅ Fix: Use Next.js as backend when possible 💡 Most developers don’t have a “skill problem” They have an architecture problem Fix these, and your apps will instantly feel faster and more professional. If you're working with Next.js — which mistake have you made before? Let’s learn together 👇 #NextJS #WebDevelopment #React #JavaScript #Frontend #Developers #Programming

Today I learned three of the most important concepts in data fetching with Next.js: SSR, SSG, and ISR 🚀 Understanding these has really changed how I think about performance and user experience in modern web apps. 🔹 SSR (Server-Side Rendering)Pages are generated on each request — perfect for dynamic, real-time data. 🔹 SSG (Static Site Generation)Pages are built at build time — super fast and great for content that doesn’t change often. 🔹 ISR (Incremental Static Regeneration)A powerful mix of both — static pages that can update in the background without rebuilding the entire app. Each approach has its own use case, and choosing the right one can significantly improve performance, SEO, and scalability. Next step: applying these concepts in real projects 💡 #NextJS #WebDevelopment #Frontend #JavaScript

🪝: Our app was slow. Users were complaining. Here's the 5 things that fixed it (and the 1 thing that almost made it worse). Performance optimisation is one of those things that sounds abstract until you have actual users complaining. Here's what I've done in real projects that actually moved the needle: 1. CODE SPLITTING with React.lazy() → Don't load the whole app on first visit → Lazy load routes and heavy components → Real impact: cut initial load time by ~40% on a large project 2. MEMOISATION — but only where it matters → React.memo() for components that receive the same props often → useMemo() for expensive calculations → useCallback() for functions passed as props → WARNING: Over-memoising adds overhead. Profile first, optimise second. 3. OPTIMISED RENDER CYCLES → Identify what's causing unnecessary re-renders (React DevTools Profiler is your best friend) → Move state as close to where it's used as possible → Avoid storing derived data in state — calculate it 4. IMAGE OPTIMISATION → Lazy load images below the fold → Use appropriate formats (WebP where possible) → Set explicit width/height to avoid layout shifts 5. BUNDLE ANALYSIS → Use webpack-bundle-analyzer or Vite's rollup-plugin-visualizer → You'll be shocked what's in your bundle sometimes The thing that almost made it worse? Premature memoisation everywhere. We wrapped every component in React.memo before profiling. It actually slowed things down. MEASURE. THEN OPTIMISE. What's your go-to performance trick? #ReactJS #PerformanceOptimisation #FrontendDev #JavaScript #WebPerformance #CodeSplitting #ReactHooks

Handling a single Promise is easy. Handling multiple Promises correctly is where things get interesting. In real-world apps, we often need to: • Wait for everything to complete • Pick the first successful result • React to the fastest response • Or simply collect all outcomes That’s exactly what Promise combinators solve. In my latest blog, I’ve explained: • Promise.all • Promise.any • Promise.race • Promise.allSettled Using a simple and relatable wedding planning analogy 💍 The goal was simple — make async logic feel intuitive, not intimidating. If you’ve ever been confused about these methods, this will help. Read here 👇 https://lnkd.in/gtcRWS5E Would love your feedback! #JavaScript #WebDevelopment #AsyncProgramming #Frontend

Hot take: WebAssembly for compute-heavy web apps — real-world use cases is changing faster than most teams can adapt. Here's what I've seen work in production: 1. Start small — prototype with the simplest approach first 2. Measure before optimizing — gut feelings are usually wrong 3. Invest in developer experience — fast feedback loops compound The teams that ship fastest aren't using the newest tools. They're using the right tools for their specific constraints. What's your experience been? Drop a comment below. #WebDevelopment #TypeScript #Frontend #JavaScript