Pagination vs Lazy Loading for Web Development

I was filling a 6-step form yesterday. While I wan on step 5, Accidentally dragged the page. It refreshed. And gone back to step 1. Surprisingly all that data gone. As a frontend developer, my first thought was, a single localStorage call could have prevented this. But the better thought came right after. Here's what most devs reach for: localStorage.setItem("form_step", JSON.stringify(formData)) Simple. Works. Survives reloads, tab closes, even browser restarts. But if you want to build it properly, the real pattern is a custom hook: → useEffect watches formData and writes to localStorage on every change → On mount, read it back and restore exactly where the user left off → On successful submission, call localStorage.removeItem() to clean up That's it. 10 lines. Every multi-step form should have this by default. But here's where it gets more interesting: localStorage is synchronous and has no expiry. For a draft form, that's fine. But at scale, you might want: → sessionStorage: clears when tab closes, better for sensitive forms → IndexedDB: for large payloads or file data → A draft API endpoint: if you need cross-device restore The right tool depends on one question: "How long and where should this data survive?" Most apps never ask it. They either lose the user's progress entirely or store it forever with no cleanup. A refreshed page should never cost a user their work. That's not a nice-to-have. That's just good UX. #Frontend #React #JavaScript #WebDevelopment #UX #UIEngineering #Webdeveloper #UI #Form #Validation #Development

Built and deployed a Weather Dashboard. This project fetches real-time weather data using the Fetch API and displays it with a clean, responsive UI. Features: * Search weather by city * Current location using Geolocation API * Search history with localStorage * Loading states and basic animations * Error handling for invalid inputs Tech: JavaScript, Fetch API, HTML, CSS, Vite JASIQ Labs Live: https://lnkd.in/dJR2SX2h GitHub: https://lnkd.in/dpych_QJ This helped me improve my understanding of APIs, async JavaScript, and frontend UX. Feedback is welcome. #javascript #webdevelopment #frontend #project

I’m excited to share a project I built: Interactive Globe Search Interface. It is a research-oriented web application designed for multi-region search, historical web exploration, and analytical visualization. The platform allows users to explore search behavior from different geographic perspectives, compare live results with archived evidence, and analyze findings through a more interactive and visual workflow. Some of the capabilities included in this project: - Geographic search exploration through an interactive globe interface - Live result aggregation with structured filtering - Historical discovery using archived web captures - Timeline and analytical views for better interpretation of results - A frontend and backend workflow focused on experimentation, research, and technical validation Built with React, TypeScript, Vite, Tailwind CSS, and a backend designed for structured search and archive analysis. Live demo: https://lnkd.in/eDtZBfFu This project was a great exercise in combining UI engineering, search workflows, data interpretation, and full-stack integration into a single platform. #WebDevelopment #FullStack #React #TypeScript #Frontend #Backend #DataVisualization #SoftwareDevelopment #ResearchTools #PortfolioProject

Not every assessment feels like a real product build — this one did. As part of a screening proces, I worked on a Finance Tracking Dashboard designed to go beyond basic CRUD and focus on a clean, intuitive user experience. Instead of just “making it work”, I focused on: • Structured and scalable component design • Smooth interactions and modern UI patterns • Meaningful insights from transaction data TechStack: React • Tailwind CSS • Context API The goal was simple — build something that feels like an actual dashboard, not just an assignment. A great experience blending logic with design. Github Link : https://lnkd.in/dNaAS8NS #React #FrontendDevelopment #UIUX #TailwindCSS #Zorvyn #BuildInPublic

Web UI development might have just fundamentally changed. I just caught up on the latest Code Report, and Changlu (former React core team & Midjourney engineer) dropped something massive: Pretext. If you've ever built a text-heavy UI - like a virtualized list or a masonry layout - you know the classic performance bottleneck. Every time the browser needs to figure out how tall a paragraph is, it triggers a layout reflow. This is historically one of the most expensive operations a browser can perform. Pretext is a fast, accurate, and comprehensive text measurement library written in pure TypeScript that completely bypasses this issue. Here is why it is such a foundational shift: Zero DOM Reflows: It utilizes the Canvas API to calculate the exact pixel width of any string outside the DOM. Custom Line-Break Logic: It accurately calculates height by handling the complex line-break rules across all browsers and languages. Clean API: You simply use prepare to cache segment widths and layout to instantly get the total height and line count. As someone working deep in the AI space, what fascinated me most was how Changlu solved the near-impossible task of writing that cross-browser line-break algorithm. He deployed AI models in a recursive testing loop - having them write the logic, test it against actual text in real browsers, compare the results, and refine it over weeks until it was perfectly solid. It is a brilliant example of applying AI to solve complex, deterministic infrastructure problems to build better developer tools. The browser doesn't have to own text measurement anymore. I highly recommend checking out Pretext if you are building data-heavy interfaces! #WebDevelopment #Frontend #TypeScript #ArtificialIntelligence #SoftwareEngineering #WebPerformance #DeveloperTools #Pretext

The apps that feel fastest aren't running the fastest code. They're optimistic. Optimistic UI: update the UI immediately, sync with the server in the background, roll back if it fails. Done right — apps feel native. Done wrong — users see confusing flickers and silent data loss. The correct pattern: → User triggers an action (like, follow, delete) → Immediately update local state — don't wait for the API → Fire the API call in the background → On success: do nothing — UI already shows the right state → On error: roll back to the previous state and show an error With TanStack Query, the pattern is: → onMutate: cancel in-flight queries, snapshot current state, update cache → onError: restore the snapshot, notify the user → onSettled: refetch to sync with server truth What to optimistically update: → Likes, follows, reactions — binary toggles with obvious rollback → Todo completion — instant checkbox response → List reordering — drag and drop must feel immediate → Soft deletes — remove from list right away What NOT to optimistically update: → Payments and financial transactions → Authentication actions → Anything with complex server-side validation that frequently fails → Anything irreversible with serious consequences The principle: Be optimistic about reversible, frequent, low-stakes actions. Be pessimistic about anything irreversible or financial. #Frontend #ReactJS #UX #WebDevelopment #JavaScript

📑 Knowledge Base Platform XX 🐦🔥 Public Articles Pagination In this stage I implemented pagination for public articles to improve performance and user experience when working with large datasets. The goal was to improve pagination logic to the backend and keep the frontend lightweight and scalable. On the backend, I extended services and controller with page and limit parameters to support paginated queries. On the frontend, I introduced a PaginatedResponse type including total, page, and pages, along with ArticleQueryParams to handling query parameters. Store Logic was updated to include pagination metadata and pass query params to the API during filtering. I also created a reusable BasePagination component with navigation controls (previous, next, page number) and integrated it into the articles page. Pagination state is synchronized with the URL, ensuring consistency between navigation, filters, and data fetching. Result: Scalable pagination system for public articles: ➜ Backend-driven pagination using page and limit; ➜ Fully synchronized with filters and URL; ➜ Reusable pagination component; ➜ Improved performance and structured data handling. 📎 Repo: https://lnkd.in/dnuCveCa Here are the previous parts:  🦜 Admin Dashboard Summary Cards https://lnkd.in/d8wKMbTt 🪻 Hashtag Filtering & URL Sync  https://lnkd.in/dcUhgbdi #frontend #vue #pinia #javascript #webdevelopment #fullstack #pagination #ux #developer #opentowork 

Designing UIs used to take hours. Now it takes a prompt. 🚀 Google Stitch is a free AI tool from Google Labs that turns plain English descriptions into high-fidelity UI designs — with real HTML, CSS, and React code ready to export. I wrote a full guide covering how it works, how to use it, and the mistakes to avoid. 💡 Read it now at hamidrazadev.com and level up your design workflow today! #webdev #googlestitch #aitools #uidesign #frontend #developers #devtools #productivity #coding #googlelabs

Still using static tables in your SaaS or fintech dashboard? This high-fidelity interactive data table transforms how users manage financial data—combining clean UI with a powerful inline-to-modal editing experience. ✨ Key Highlights: • Seamless row-to-modal editing (no page reloads) • Minimalist, distraction-free interface • Smart hover states & contextual actions • Smooth transitions for premium UX • Built with Next.js, React & Tailwind This approach reduces friction, improves usability, and elevates your product’s perceived value instantly. 💻 Code: https://lnkd.in/eEyU6xSb Follow me on LinkedIn, Like 👍🏻, Comment 💬 & Repost ♻️. Need a Frontend Developer partner? 👉🏻 Link in the comments. #buildinpublic #css #web #saas #producthunt #html #reactjs #nextjs #webdev #frontend #coding #programming #websites #website #landingpage #landingpages #dashboard #dashboards #producthunt #ui #uicomponents #webcomponents #ux #indiehackers #animations #microinteractions #webdevelopment #frontend #frontenddevelopment

🚀 Optimizing Performance in React: When & Why to Use useMemo In modern React applications, performance optimization becomes crucial as components grow in complexity. One powerful yet often misunderstood hook is useMemo. 🔍 What is useMemo? useMemo is a React Hook that memoizes (caches) the result of a computation, ensuring it is only recalculated when its dependencies change. 💡 Why use useMemo? Avoid Expensive Recalculations When you have heavy computations (e.g., filtering large datasets, complex calculations), useMemo prevents unnecessary re-execution on every render. Improve Rendering Performance It reduces the computational load during re-renders, especially in high-frequency updates. Stabilize Reference Values Useful when passing objects/arrays as props to child components to prevent unwanted re-renders. 📍 Where should you use it? When dealing with large lists or datasets In derived state calculations When passing computed props to memoized components Inside performance-critical components (e.g., dashboards, analytics UI) ⚠️ Common Mistake Avoid overusing useMemo. It adds its own overhead. Use it only when there's a measurable performance benefit. 🧠 Example: const filteredItems = useMemo(() => { return items.filter(item => item.active); }, [items]); ✅ Key Takeaway useMemo is not about premature optimization—it's about strategic optimization. Measure performance, identify bottlenecks, and then apply it where it truly matters. #ReactJS #FrontendDevelopment #WebDevelopment #PerformanceOptimization #JavaScript #CodingTips