Fixed Like Button Bug: Syncing Frontend State with Backend Data

2 posts ago: a 9,200-line React codebase from 2019. Today: migration done. The numbers: 📊 Codebase - 77 files → 142 focused modules - 0% → 100% TypeScript strict - 11 runtime deps → 3 🛡️ Removed entirely - jQuery - moment.js - axios 0.19 (known CVEs) - Redux + react-redux + redux-thunk - create-react-app 3.4 (abandoned) - Console.log interceptors leaking tokens ⚡ Tooling - HMR: ~8s → <1s (CRA → Vite 8) - react-router v5 → v7 - tsc --strict: 0 errors - ESLint flat config: 0 warnings 🕐 Time - Manual rewrite: weeks, team - My pipeline: days, solo Note: LOC actually *went up* (9.2k → 12.4k). That's what a real migration looks like — types, split files, typed API layer. The win isn't shrinkage. It's 8 dependencies gone, zero CVEs, every file type-checked. Full case study: https://lnkd.in/gsw29EEd --- Here's the thing nobody talks about: Most companies don't rewrite legacy code because it's too expensive and too risky. So they keep patching. Adding duct tape on top of duct tape. Until one day the entire thing breaks and they're stuck. What if the rewrite took days instead of months? What if it cost a fraction of what agencies charge? What if the risk was near zero because the business logic is preserved automatically? That's what I built. If your startup or agency is sitting on a codebase that slows down every sprint — DM me. I'll show you what the modernized version looks like before you commit to anything. --- #react #typescript #vite #javascript #ai #webdevelopment #legacycode #codemodernization #softwaredevelopment

🧩 Demystifying the Node.js Event Loop: It's Not Just One Thread! Ever wondered what actually happens when you call setTimeout(() => {}, 1000)? Most people say "Node is single-threaded," but that’s only half the story. Here is the visual breakdown of how Node.js orchestrates asynchronous magic using libuv: 1. The Handoff (Main Thread) When you set a timer, the Main JS thread (V8) doesn't wait. It registers the callback and duration with libuv and moves on to the next line of code. 2. The Engine Room (libuv) This is where the heavy lifting happens. libuv maintains a Min-Heap—a highly efficient data structure that sorts timers by their expiration time. It puts the thread to "sleep" using OS-level polling (like epoll or kqueue) until the nearest timer is ready. 3. The Queue & The Tick Once the time arrives, libuv moves your callback into the Callback Queue. But it doesn't run yet! The Event Loop must cycle back to the "Timers Phase" to pick it up. ⚠️ The "Golden Rule" of Node.js Don't block the loop. If you run a heavy synchronous operation (like a massive while loop), the Event Loop gets stuck. Even if your timer has expired in the background, the Main Thread is too busy to check the queue. This is why a setTimeout(cb, 100) might actually take 5 seconds to fire if your main thread is congested. Key Takeaway: Node.js is fast because it offloads waiting to the OS via libuv, keeping the main thread free for execution. Keep your synchronous tasks light, and let the loop do its job! 🌀 #NodeJS #WebDevelopment #SoftwareEngineering #Backend #Javascript #ProgrammingTips

Fixed a bug today that took hours to understand. API was fine. Frontend looked correct. But data wasn’t showing. Issue? A small mismatch in field names. Lesson: • Always verify API responses • Never assume things are correct Small bugs, big lessons. What did you debug recently? #FullStackDeveloper #WebDevelopment #JavaScript #Debugging #ProblemSolving

Spent hours debugging a “simple” login issue today… turned out it wasn’t simple at all.. Everything looked fine: ✔ Backend deployed ✔ Frontend deployed ✔ Auth working But admin dashboard? Completely broken. The bug? Frontend was calling: /api/users Backend only had: /api/admin/users That’s it. One mismatch → whole feature dead. But wait… it got worse 👇 • Wrong env variable (VITE_API_URL instead of VITE_BACKEND_URL) • Old API domain still cached in production bundle • Missing route mount (/api/auth not connected in Express) So even after fixing one issue… another one popped up. Final fix: ✔ Correct API base URL ✔ Align frontend + backend routes ✔ Mount missing routes ✔ Rebuild + hard refresh Lesson learned: 👉 Bugs in production are rarely “big”..they’re tiny mismatches stacked together. This is what real full-stack debugging looks like. Live: https://www.anikdesign.in/ #webdevelopment #debugging #fullstack #nodejs #react #javascript #backend

Your React component is leaking memory and you have no idea. I just read about this pattern in the docs. I realized I was fighting the React lifecycle for months 😅 The problem? Race conditions from uncleared async requests. When you fetch data on state change: - User changes profile 10 times in 1 minute - 10 API requests fire - Only the LAST response updates state - Previous 9 complete but state is already changed - Memory leak + stale data Most devs skip cleanup. Most tutorials show incomplete examples. Result? Wasted requests, stale data, memory leaks. #React #JavaScript #Performance #WebDevelopment

Stop the console.log madness. 🛑 We’ve all been there: chasing a bug for hours, littering the code with console.log('here'), and accidentally pushing those logs to production. 🤦♂️ After 2 years of Full Stack development, I finally found a better way. The Fix: VS Code JavaScript Debug Terminal 🛠️ Instead of a standard terminal: Open the Terminal dropdown. Select "JavaScript Debug Terminal." Run your service normally (npm start). Why it’s a game changer: Breakpoints: Pause code execution instantly. Live Inspection: Hover over variables to see real-time data. Cleaner Code: Zero logs to delete before you push. Simple, clean, and much faster. Your production logs will thank you. #Javascript #NodeJS #VSCode #WebDev #CodingTips #FullStack

I was repeating the same logic in every component… and it started getting messy 😅 Yes, seriously. For a long time, I was doing this in React: useEffect(() => { fetchData(); }, []); const [data, setData] = useState(); const [loading, setLoading] = useState(false); Same pattern… in multiple components ❌ ⚠️ This caused: • Code duplication • Hard-to-maintain components • Bigger, messy files 💡 Then I changed my approach: Instead of repeating logic everywhere, 👉 I created a custom hook 🧠 Example: useFetch(url) Handles: • API call • Loading state • Error handling ✅ Result: • Cleaner components • Reusable logic • Easier maintenance 🔥 What I learned: If you’re repeating the same logic… you’re probably missing a custom hook. #ReactJS #FrontendDeveloper #JavaScript #CodingTips #WebDevelopment

In 2026, the "React Hack" is simply Suspense + the use hook. ### 💻 The Code Shift: function UserProfile({ id }) {  const [user, setUser] = useState(null);  const [loading, setLoading] = useState(true);  useEffect(() => {   fetchUser(id).then(data => {    setUser(data);    setLoading(false);   });  }, [id]);  if (loading) return <Spinner />;  return <div>{user.name}</div>; } The 2026 "Clean" Way: // No state, no effect, no manual loading checks. function UserProfile({ userPromise }) {  const user = use(userPromise);   return <div>{user.name}</div>; } // Wrapped in a Parent <Suspense fallback={<Spinner />}>  <UserProfile userPromise={fetchUser(id)} /> </Suspense> Why this is a win: Readable Logic: The component only cares about the UI, not the lifecycle of the fetch. Streaming: The server starts sending HTML to the browser before the data is even finished loading. Less Bugs: No more "race conditions" where the wrong data shows up because an old fetch finished late. The best code is the code you don't have to write. Are you still a useEffect purist, or have you moved your data fetching to the server? Let's talk architecture below. 👇 #ReactJS #CleanCode #WebDevelopment #JavaScript #SoftwareEngineering #Frontend

Day 23 #100DaysOfCode 💻 #React #Module_39 1. Why is component-based architecture useful in React applications? = It allows reusable and organized UI components. 2. Which tool is used to manage states globally in React? = Redux (or Context API). 3. What is the purpose of the useEffect hook? = To handle side effects like data fetching, subscriptions, or manually changing the DOM. 4. In React, what is "JSX"? = A syntax extension that allows writing HTML-like code within JavaScript. 5. What is the use of "props" in React? = To pass data and event handlers from a parent component to a child component. 6. What is the Virtual DOM? = A lightweight representation of the real DOM that React uses to optimize updates and improve performance. 7. Which hook is used to manage local state in a functional component? = useState. 8. What is a "Higher-Order Component" (HOC)? = A function that takes a component and returns a new component with enhanced functionality. 9. How do you handle events in React? = Using camelCase syntax (e.g., onClick) and passing a function as the event handler. 10. What is the purpose of "Keys" in React lists? = To provide a stable identity to list elements, helping React identify which items have changed, been added, or removed.

If you are building an open-source tool and importing `express` or `next/server` into your core logic, you are building a trap. When you tightly couple your logic to an HTTP framework, you alienate 80% of the ecosystem. A Next.js dev can't use your Express tool. A Hono dev can't use your Fastify plugin. You need to build compilers, not switchboards. I use the 𝗘𝗻𝗴𝗶𝗻𝗲-𝗔𝗱𝗮𝗽𝘁𝗲𝗿 𝗣𝗮𝘁𝘁𝗲𝗿𝗻: 1. 𝗧𝗵𝗲 𝗘𝗻𝗴𝗶𝗻𝗲: Pure TypeScript. Zero HTTP context. It takes raw inputs and returns standard outputs. 2. 𝗧𝗵𝗲 𝗔𝗱𝗮𝗽𝘁𝗲𝗿𝘀: Tiny 20-line wrappers that translate a framework's request into your engine's context. This is exactly how I built TableCraft to seamlessly support Hono, Express, Next.js, and Elysia from a single codebase. Stop writing one-off endpoints. Start building generic compilers. I wrote a technical deep dive on how to structure this in a monorepo. Link below 👇 https://lnkd.in/gr9hBJnd #SoftwareArchitecture #TypeScript #OpenSource #WebDev #BackendEngineering