🚀 Exploring React’s cache() — A Hidden Performance Superpower Most developers focus on UI optimization… But what if your data fetching could be smarter by default? Recently, I explored the cache() utility in React — and it completely changed how I think about data fetching in Server Components. 💡 What’s happening here? Instead of calling the same API multiple times across components, we wrap our function with: import { cache } from 'react'; const getCachedData = cache(fetchData); Now React automatically: ✅ Stores the result of the first call ✅ Reuses it for subsequent calls ✅ Avoids unnecessary duplicate requests ⚡ Why this matters Imagine multiple components requesting the same data: Without caching → Multiple API calls ❌ With cache() → One call, shared result ✅ This leads to: Better performance Reduced server load Cleaner and more predictable data flow 🧠 The real beauty You don’t need: External caching libraries Complex state management Manual memoization React handles it for you — elegantly. 📌 When to use it? Server Components Reusable data-fetching logic Expensive or repeated API calls 💬 Takeaway Modern React is not just about rendering UI anymore — it’s becoming a data-aware framework. And features like cache() prove that the future is about writing less code with smarter behavior. #ReactJS #WebDevelopment #PerformanceOptimization #JavaScript #FrontendDevelopment #FullStack #ReactServerComponents #CodingTips #SoftwareEngineering

🚀 How I Build Projects: Frontend First, Always. When I started building my latest project, I had a choice — where do I begin? Backend? Database? Architecture docs? Nope. I opened my code editor and started with the UI. Here's my stack & strategy 👇 🛠️ Stack: Next.js + MongoDB 🎯 My Approach — Frontend First: I always start with the frontend, and here's the honest reason why... When I build the UI first, I can see what I'm creating. There's something incredibly motivating about watching a page come to life on your screen. It keeps the energy alive. It keeps me going. Starting with a blank backend? That's invisible work. No dopamine hit. No "wow, this is actually happening" moment. But when you see your design render in the browser for the first time — that's fuel. 📐 My Design Principles: → Build what you can see first → Let the UI decisions guide your data models → Understand your product before you architect the backend → Ship something that feels real, fast ⚙️ Then comes the backend: Once the frontend is shaped, I know exactly what API routes I need, what data structures make sense, and how MongoDB should be modeled. The backend becomes a reaction to a clear vision — not a guess. Frontend-first isn't just a workflow. It's a mindset. Build the dream first. Make it real after. What's your approach — frontend first or backend first? Let me know in the comments 👇 #WebDevelopment #NextJS #MongoDB #BuildInPublic #Developer #IndieHacker #Programming

🚀 Time Flow – A smart full-stack productivity tracking web application designed to help users manage their time efficiently and boost daily performance. Built using HTML, CSS, JavaScript, Node.js, Express.js, and MongoDB, it allows users to register securely, create tasks, organize work by category, and monitor productivity through interactive analytics dashboards. 📊 With features like task management, time tracking, category-wise analysis, and progress insights, Time Flow helps users stay focused, organized, and productive every day. This project reflects my skills in frontend development, backend integration, database management, and problem-solving. 💻 Turning ideas into real-world solutions through code. #WebDevelopment #FullStackDeveloper #NodeJS #MongoDB #JavaScript #ProductivityApp

I almost broke a staging environment for an enterprise-level client because of this mistake. Here's what happened. I was building a website for an enterprise client — full stack, end to end. Frontend in React. Content managed through Strapi CMS. Data fetched via GraphQL. I had built the entire page system using reusable components. Each page was made up of different template components — hero, cards, sections, CTAs. Clean architecture. Looked great. Then I connected GraphQL. And the site became painfully slow. I couldn't figure out why at first. Everything was built correctly. The components were rendering. The data was coming through. But the page was taking forever to load. I dug in. Turns out — my GraphQL query was fetching ALL page data for EVERY component across the ENTIRE site. Every time a user landed on one page — the frontend was pulling data for every single page, every single component, all at once. Imagine ordering one coffee and the waiter brings you the entire menu. That's what I was doing to the browser. The fix? Instead of one giant query fetching everything — I restructured it to fetch only the specific component data for the specific page being loaded. Page-level GraphQL queries. Not site-level. Load time dropped. Site felt instant. The lesson I took from this: GraphQL gives you the power to fetch exactly what you need. If your site is slow — the query is almost always the problem, not the component. This is the kind of thing that never shows up in tutorials. Only in real projects. I'm building in public for the next 15 days — sharing exactly what I've learned across 35+ real projects. Follow along if you're a developer, a founder, or someone who wants to understand what actually goes into building a website. #webdevelopment #reactjs #graphql #buildinpublic #frontenddeveloper

🌍✨ Ever thought about building your own Airbnb-style platform from scratch? I did — and here’s **WanderLust** 🏡 A full-stack web application where users can explore locations, create listings, and share their experiences through reviews. This project pushed me to apply real-world development concepts and build something scalable and user-focused. 💡 **What WanderLust Can Do:** 🔍 Smart Search to find listings easily 📍 Location-based exploration 📝 Add, edit, and delete listings (Full CRUD) ⭐ Reviews & Ratings system 🔐 Secure user authentication & authorization 💬 Flash messages for better user interaction 🧠 Clean MVC architecture 🗂️ Session handling with MongoDB ⚡ Custom error handling for robustness 🛠️ **Tech Stack:** Node.js | Express.js | MongoDB | Mongoose EJS | ejs-mate | Passport.js Express-Session | Connect-Mongo | Method-Override | Dotenv 📈 This project really strengthened my backend logic, authentication flow, and overall application design skills. I’d love to hear your thoughts and feedback! 🤝 #WanderLust #FullStack #WebDevelopment #NodeJS #ExpressJS #MongoDB #JavaScript #BackendDeveloper #Frontend #EJS #PassportJS #MVC #Coding #Projects #Developers 🚀🔥

🚀 Excited to Share My Latest Project! I’ve built and deployed a full-stack web application that demonstrates how modern IT company websites are designed and developed using industry-standard technologies. 🔧 Tech Stack Used: - Frontend: React.js - Backend: Node.js & Express.js - Database: MongoDB Atlas - Deployment: Render (Backend) & Netlify (Frontend) 🌐 Live Website: https://lnkd.in/gxmfVTWh 💡 Project Objective: This platform is designed to showcase how a professional IT company website is structured — from frontend UI to backend architecture and database integration. 📌 Key Highlights: - Clean and responsive UI - RESTful API integration - Scalable backend architecture - Cloud-based database (MongoDB Atlas) - Smooth deployment workflow This project helped me strengthen my understanding of full-stack development, deployment strategies, and real-world application design. I’d love to hear your feedback and suggestions! 🙌 #FullStackDevelopment #ReactJS #NodeJS #MongoDB #WebDevelopment #SoftwareEngineering #Projects #Learning #Developers

𝐂𝐚𝐥𝐥𝐢𝐧𝐠 𝐀𝐥𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 – 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐆𝐫𝐞𝐞𝐧𝐞𝐫 𝐖𝐞𝐛 We spend hours optimizing performance, reducing load time, and improving UX… But one thing most of us ignore: 𝐄𝐯𝐞𝐫𝐲 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐞𝐦𝐢𝐭𝐬 𝐂𝐎₂ So I built something to change that. 𝐆𝐫𝐞𝐞𝐧 𝐂𝐚𝐫𝐛𝐨𝐧 𝐒𝐜𝐚𝐧𝐧𝐞𝐫 A full-stack platform that analyzes websites and shows their 𝐜𝐚𝐫𝐛𝐨𝐧 𝐟𝐨𝐨𝐭𝐩𝐫𝐢𝐧𝐭 + 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. But here’s the interesting part: It doesn’t just give scores… it tells you: - Which 𝐉𝐒, 𝐂𝐒𝐒, 𝐈𝐦𝐚𝐠𝐞𝐬 𝐚𝐫𝐞 𝐮𝐧𝐮𝐬𝐞𝐝 - Which files are 𝐭𝐨𝐨 𝐡𝐞𝐚𝐯𝐲 𝐚𝐧𝐝 𝐬𝐥𝐨𝐰𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐬𝐢𝐭𝐞 - Where exactly you can 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐭𝐨 𝐫𝐞𝐝𝐮𝐜𝐞 𝐞𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐬 + 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 Basically → 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 + 𝐂𝐚𝐫𝐛𝐨𝐧 𝐀𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬 𝐢𝐧 𝐨𝐧𝐞 𝐭𝐨𝐨𝐥 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 (𝐟𝐨𝐫 𝐝𝐞𝐯𝐬) TypeScript Node.js + Express.js PostgreSQL + Sequelize ORM React + Bootstrap Headless Lighthouse (automation + deep audits) 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐢𝐬 𝐞𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 - Real-world problem (Climate Tech) - Involves 𝐜𝐫𝐚𝐰𝐥𝐢𝐧𝐠, 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐥𝐨𝐠𝐢𝐜 - Mix of 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 + 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 + 𝐬𝐲𝐬𝐭𝐞𝐦 𝐝𝐞𝐬𝐢𝐠𝐧 - Can scale into a 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 - You build something that has 𝐢𝐦𝐩𝐚𝐜𝐭 𝐛𝐞𝐲𝐨𝐧𝐝 𝐜𝐨𝐝𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐰𝐡𝐨 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐦𝐞𝐚𝐧𝐢𝐧𝐠𝐟𝐮𝐥 If you’re interested in: - Performance optimization - Building smart analysis tools - Working with Lighthouse & web audits - Full-stack architecture - Or contributing to something impactful Let’s collaborate. This is more than a project. It’s a step toward making the internet 𝐟𝐚𝐬𝐭𝐞𝐫, 𝐜𝐥𝐞𝐚𝐧𝐞𝐫, 𝐚𝐧𝐝 𝐬𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞. Drop a comment or connect if you want to contribute 𝑮𝒊𝒕𝑯𝒖𝒃 𝒍𝒊𝒏𝒌: https://lnkd.in/dW99zDrv #Developers #OpenSource #FullStack #ReactJS #NodeJS #TypeScript #PostgreSQL #PerformanceOptimization #ClimateTech #BuildInPublic

Day 82 of my “One Website Every Day” challenge 🚀 Live website link: https://lnkd.in/g48i6xBu Today, I built Distributed Checkout Simulator — a system design-focused project that simulates how modern checkout systems handle multiple users, concurrent requests, and order processing. Goal of the project: To explore how distributed systems manage checkout flows, ensuring consistency, reliability, and smooth user experience even under load. Tech stack used: React.js, HTML, CSS, Tailwind CSS, Node.js, Express, and MongoDB. What I learned today: This project helped me understand how real-world systems handle concurrency and coordination. Even a simple checkout flow becomes complex when multiple users interact at the same time. Challenges faced: One challenge was simulating concurrent actions without creating inconsistent states. I ran into issues with race conditions and state conflicts, which helped me better understand synchronization and data integrity. Anything special about today’s build: This one feels like stepping deeper into system design. It’s not just about what the user sees — it’s about how things behave behind the scenes when scale comes into play. GitHub / source code: Comment if you want the code 👀 Every day I’m moving closer to building systems, not just interfaces. Feel free to connect and explore more of my work: Twitter: https://lnkd.in/ghn7ygjX GitHub: https://lnkd.in/gB65RGHx #BuildInPublic #WebDevelopment #LearningInPublic #SystemDesign #ReactJS

From concept to deployment — meet Wanderlyy ✈️ I built Wanderlyy as a hands-on deep dive into full-stack development. It's an Airbnb-style travel platform where users can browse destinations by category, create their own listings with image uploads, and leave reviews — all backed by a robust authentication system. 🔗 Live Demo: https://lnkd.in/dHZZ-xN7  💻 Source Code: https://lnkd.in/d3rh5H5u What I learned building this: ✅ Designing RESTful APIs with Express.js (v5) ✅ Implementing secure auth flows with Passport.js ✅ Handling file uploads via Cloudinary & Multer ✅ Server-side validation with Joi ✅ Building responsive UIs without CSS frameworks ✅ Deploying with MongoDB Atlas + Render The biggest challenge? Getting authorization middleware right — ensuring only listing owners can edit and only review authors can delete their reviews. It pushed me to deeply understand middleware chaining and async error handling. Always building, always learning. 💡 #BuildInPublic #FullStack #NodeJS #ExpressJS #MongoDB #JavaScript #WebDevelopment

 API Architecture: Choosing the right "Nervous System" for your App 🚀🔌 A beautiful Frontend built with Next.js is only as fast as the API feeding it. As we scale products at Codings First, one of the most frequent architectural debates I lead is: REST vs. GraphQL. As a Senior Developer, I’ve learned that there is no "perfect" choice—only the "right" choice for the specific problem you are solving. The REST Approach (The Reliable Standard): Pros: Excellent caching, simple to implement, and highly predictable. Best for: Standard CRUD applications and public APIs where you want high cacheability and a simple learning curve. The "Senior" View: It’s great, but "over-fetching" data can become a bottleneck as your mobile user base grows. The GraphQL Approach (The Flexible Powerhouse): Pros: Zero over-fetching. The frontend asks for exactly what it needs, and nothing more. Best for: Complex, data-heavy apps with deeply nested relationships (like social feeds or dashboards). The "Senior" View: It provides incredible developer experience, but you must be careful with "N+1" query problems and complex caching. At the end of the day, Scalability isn't about using the "coolest" tech; it's about choosing the architecture that reduces latency and maximizes maintainability for the team. Which side are you on? Are you a REST traditionalist, or have you moved your production stack to GraphQL? Let's discuss the trade-offs in the comments! 👇 #APIArchitecture #MERNStack #NodeJS #GraphQL #RESTAPI #SoftwareEngineering #CodingsFirst #SeniorDeveloper #BackendDevelopment #WebScalability