How 1771 Technologies cares about developer experience with LyteNyte Grid

💭 I’ll just wrap it in useMemo - that’ll make it faster! That was me, a few months ago. I wanted to optimize a component that was rendering a big list, so I memoized everything. Then I opened React Profiler...and saw worse performance. 🤦♂️ 🧠 What Happened? useMemo doesn’t make code magically faster. It caches a computed value - but that caching itself comes with a cost. If the calculation is cheap or runs often, React ends up: Spending extra time checking dependencies Allocating memory to store cached values And sometimes re-running the memoized function anyway So instead of improving performance, it actually slowed down re-renders. ✅ The Fix (and Rule of Thumb) Use useMemo only when: The computation is expensive (sorting large data, complex transformations) The dependencies change infrequently Otherwise, just compute inline. React is fast enough for most cases. Example: // ❌ Over-optimization const doubled = useMemo(() => numbers.map(n => n * 2), [numbers]); // ✅ Simpler & often faster const doubled = numbers.map(n => n * 2); 💡 Takeaway Every optimization has a cost. Don’t reach for useMemo - measure first, optimize later. 🗣️ Your Turn Be honest - have you ever overused useMemo (or useCallback) thinking it’d boost performance? How do you decide when it’s actually worth it? #ReactJS #Performance #WebDevelopment #ReactHooks #FrontendDevelopment #JavaScript #CleanCode #Optimization #DevCommunity

Explore React Flow and Svelte Flow, open-source libraries for creating node-based UIs. These libraries simplify complex system visualizations and interactive diagrams. Use Case 1: Visualize data pipelines, allowing users to interactively explore data flow and dependencies. Use Case 2: Design decision trees for AI models, providing a clear, editable interface for rule creation. Built for React and Svelte, offering customization and out-of-the-box functionality for developers. Learn more about how these tools can enhance your projects. #React #Svelte #JavaScript #OpenSource https://lnkd.in/gmRj_MKG

😤 “I wrapped it in useMemo... but the component is still slow!” I faced this while optimizing a React dashboard. I used useMemo and useCallback everywhere — but performance barely improved. Turns out, I was solving the wrong problem. 🧠 What’s Really Happening useMemo and useCallback don’t make code faster — they just avoid recalculations if dependencies don’t change. But if your dependency is always changing, memoization never kicks in. Example 👇 const data = useMemo(() => expensiveCalculation(filters), [filters]); If filters is a new object every render (like { type: 'active' }), useMemo recomputes anyway — no performance win. ✅ The Fix Stabilize your dependencies first. Use useState, useRef, or memoize higher up to prevent unnecessary object recreation. const [filters, setFilters] = useState({ type: 'active' }); Or extract stable references: const stableFilter = useMemo(() => ({ type: 'active' }), []); Then memoization actually works as intended ✅ 💡 Takeaway > useMemo is not magic. It’s only as good as the stability of your dependencies. Optimize data flow first, hooks second. 🗣️ Your Turn Have you ever overused useMemo or useCallback? What’s your go-to way to diagnose React re-renders? #ReactJS #WebDevelopment #PerformanceOptimization #FrontendDevelopment #JavaScript #CleanCode #CodingTips #DevCommunity #LearnInPublic

⚡ Optimizing React Performance with useMemo In React, performance optimization often comes down to how we manage re-renders and expensive computations. One powerful hook for this purpose is useMemo. useMemo allows you to memoize the result of a computation, ensuring that it’s only recalculated when its dependencies change. This can significantly improve performance in components that handle heavy calculations or large data sets. Here’s a concise example: const processedData = useMemo(() => { return heavyComputation(data); }, [data]); In this case, heavyComputation() runs only when data changes, preventing redundant executions on every re-render. ✅ Best use cases: Expensive computations (sorting, filtering, transformations). Derived data that depends on specific props or state. Scenarios where unnecessary recalculations affect UI responsiveness. 🚫 Avoid using useMemo for trivial calculations — it adds overhead if the computation is cheap. In short, useMemo doesn’t make your code faster by itself — it prevents unnecessary work, which leads to smoother UI performance. Understanding when and where to use it is key to writing efficient, production-grade React applications. #ReactJS #PerformanceOptimization #FrontendEngineering #WebDevelopment #JavaScript #useMemo #ReactHooks #CleanCode #Tech

🚀 What if Promise.all(), .map(), and for-await-of had a baby? 👉 Read the full story: https://lnkd.in/dkmmS6Vt Meet Array.fromAsync() — the new JavaScript superpower that makes async data handling clean, declarative, and effortless. No more juggling between loops, maps, or promise chains — just one beautiful one-liner: ```Example``` const users = await Array.fromAsync(ids, fetchUser); `````` ✨ It’s like: - Promise.all() — because it runs async tasks in parallel - .map() — because it transforms each element - for-await-of — because it handles async iterables All rolled into one ergonomic API. 💫 🧠 In my latest article, I dive deep into: - Real-world use cases - Async generator magic Why this small feature changes how we think about async in JavaScript 👉 Read the full story: https://lnkd.in/dkmmS6Vt #JavaScript #ES2023 #WebDevelopment #Frontend #AsyncProgramming #CodingTips #WebTechJournals #LearningMindset #ContinuesGrowth #FrontendDevelopment #PublicisSapient #PublicisGroupe

🎯 Project Highlight: LeetCode Stats Visualizer I recently built a beginner-level JavaScript project called LeetCode Stats Visualizer, which fetches real-time user data from the LeetCode API and presents it in a clean, structured format. 📊 This project helped me strengthen my understanding of: 🔹 API integration using fetch() in JavaScript 🔹 Parsing and displaying JSON data dynamically 🔹 Structuring a responsive and minimal UI with HTML & CSS Through this project, I explored how to connect the frontend with live data and visualize coding performance — a small but solid step toward mastering frontend development and API-based applications. 💻 🔗 GitHub Repository: [https://lnkd.in/gUB4Xxw6] 🌐 Live Demo: [https://lnkd.in/giWp3TSg] Tech Stack: HTML | CSS | JavaScript #JavaScript #WebDevelopment #APIIntegration #FrontendDevelopment #LeetCode #OpenSource #CodingJourney #LearningByBuilding #BeginnerProject #UIUX

#30DayMapChallenge | Day 13 - 10 minutes map If I only have 10 minutes to make a web map, I'll be making it as simple as possible. My Thought Process 🤔 1. HTML, CSS and JS. 2. Leaflet or any other libraries as long as you cover the core components for visualization 3. then source of Data, either in JSON or API's fetch. 4. It should be working at least few bugs. It doesn't have to be complicated like adding react and typescript or other complicated stuffs. Target first the core concept of what you will be making then the complicated stuffs will follow as you grow building it. So how do you simplify your maps? share it below

I just shipped a major upgrade to react-snap-state and it changes everything Last week I released react-snap-state, a key-based state management library built on useSyncExternalStore. Since then, I have been refining the internals and rethinking the API design. Today’s update brings two major upgrades and one important architectural shift: 🚀 New in this release 1. useDeriveValue A lightweight way to compute derived state from one or more store keys with automatic subscriptions and comparator support. 2. Async setter Async state updates are now first-class. You can show a placeholder instantly, run your async work, and have the final value update the store automatically. 🧠 What I redesigned Comparators now live only on reads, not writes. This follows a simple philosophy: 𝐖𝐫𝐢𝐭𝐞𝐬 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐝𝐮𝐦𝐛. 𝐑𝐞𝐚𝐝𝐬 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐞 𝐬𝐦𝐚𝐫𝐭. This makes behavior fully predictable and eliminates hidden complexity inside setters. Why this matters? react-snap-state now feels even closer to how React wants you to manage state: - isolated subscriptions - no context re-renders - concurrent-safe - minimal API If you're curious and want a tiny alternative to RTK/Zustand/Jotai for key-based state, check it out: 👉 npm: https://lnkd.in/dBwrGcmk 👉 GitHub: https://lnkd.in/dF7HqVTr Excited to keep improving this. Helps me learn a lot about react internals and state management. #ReactJS #JavaScript #TypeScript #OpenSource #WebDev

React 19 just made one of the biggest quality-of-life upgrades ever: data fetching without useEffect(). If you’ve been building with React for a while, you know the pain: You write useState to store data. You set up useEffect to fetch it. You pray your dependency array doesn’t break something. And then you still get that flicker between “loading” and “loaded.” React 19 changes that completely. Introducing use() — a brand-new hook that brings async fetching directly into the render phase. Here’s what that means: • React now pauses rendering when it encounters a Promise. • It waits for it to resolve without blocking the rest of the UI. • Once data arrives, it resumes rendering with the final content. No flicker. No double render. No manual states or effects. This changes everything about how we fetch data: • No more useEffect just for API calls • No local state to hold results • No dependency debugging • No try/catch — errors automatically flow to the nearest ErrorBoundary React 19’s use() makes async data a first-class part of rendering. Fetching, refetching, and error handling — all handled natively by React itself. Less boilerplate. More predictability. Cleaner UI flow. This is the React we always wanted. I’ve attached a visual breakdown to make it easier to understand. What’s your take? Does use() finally solve React’s biggest headache? #React19 #ReactJS #ReactHooks #WebDevelopment #FrontendDevelopment #JavaScript #Frontend #Coding #DeveloperExperience #ReactTips