I just finished building my first real-time full-stack project: CollabDoc AI. 🚀 I wanted to learn how multiple users can edit the same document simultaneously without refreshing the page. Building this from scratch using the MERN stack was a huge learning curve. 🔧 The Tech Stack: • Frontend: React.js • Backend: Node.js & Express.js • Database: MongoDB • Real-time Engine: Socket.io (WebSockets) ✨ Key Features: • Instant Sync: Text updates across all users in real-time. • Live Presence: "Users Online" counter to track active collaborators. • Auto-Save: Data persistence using MongoDB. • Unique URLs: Share specific document links (/doc/:id). ⚡ The Biggest Challenge: The most challenging part was implementing the Socket.io logic to ensure data flowed seamlessly without conflicts or delays. Handling continuous updates and maintaining a stable connection between the client and server gave me a solid foundation in asynchronous programming and backend integration. 🌐 Live Project: https://lnkd.in/gyCR4GyX 💻 GitHub: https://lnkd.in/g69vNsG8 This project has been a major milestone in my development journey. I am looking forward to expanding its capabilities by adding features like user authentication and AI-driven text suggestions soon. I would love to hear your feedback or any suggestions for improvement! #MERNStack #WebDevelopment #ReactJS #NodeJS #MongoDB #SocketIO #FullStack #BuildInPublic #SoftwareEngineering #Websockets #JavaScript

🚀 Exploring React Query: A Game-Changer for Data Fetching! Recently, I’ve been diving into React Query, and it has completely changed how I handle server state in my React applications. Before using React Query, managing API calls meant dealing with a lot of boilerplate—loading states, error handling, caching, and refetching logic. Now, everything feels much cleaner and more efficient. ✨ What I’ve learned so far: 🔹 Simplified Data Fetching – With just a few lines of code, you can fetch, cache, and sync data effortlessly. 🔹 Automatic Caching – No need to manually store and manage API data. 🔹 Background Refetching – Keeps data fresh without interrupting the user experience. 🔹 Built-in Loading & Error States – Makes UI handling much easier. 🔹 DevTools Support – Helps visualize queries and debug effectively. 💡 One thing I really like is how it separates server state from UI state, making the application more scalable and maintainable. As someone growing in frontend development, learning tools like React Query is helping me write cleaner, more professional code. I’m excited to explore more advanced features like mutations, pagination, and query invalidation next! If you’re working with React and APIs, I highly recommend giving React Query a try 🙌 #React #ReactQuery #WebDevelopment #FrontendDevelopment #JavaScript #LearningJourney

Why Next.js? Because it does not let you take shortcuts. I just shipped DevEvents — a developer events platform built entirely with Next.js 16. Server Components force you to think about what runs on the server and what runs on the client. Suspense teaches you streaming. Dynamic routes teach you how URLs and databases connect. App Router teaches you how real applications are structured.  You learn how web applications actually work. deploymentURL- https://lnkd.in/dkPmSTb6 GitHub- https://lnkd.in/d6mK5VMp Tech stack: Next.js 16+ TypeScript + React MongoDB + Mongoose Express + Mongoose with Node.js Cloudinary for image uploads Tailwind CSS + React Bits Vercel for deployment PostHog as Analytics Tool CodeRabbit for code review Postman for API testing Warp for AI integrated terminal What I learned with JavaScript Mastery : App Router — file based routing done the right way Server Components vs Client Components — what runs where and why it matters Server Actions — writing to the database directly from components Dynamic Routes — how URLs and databases connect through slugs Suspense & Streaming — showing UI before all data is ready Data Fetching Strategies — SSR, CSR, static generation and when to use each API Route Handlers — building backend APIs inside Next.js TypeScript Integration — type safety across the entire codebase Image Optimization — Next.js Image component and remote patterns Caching — use cache, no-store, revalidation and how they affect performance Metadata & SEO — making pages discoverable by search engines Clean Architecture — structuring a real production codebase Built it from scratch. Broke it constantly. Fixed every bug. Shipped it. That is the only I actually learn these days. . . . . . . . . . . . . . #NextJS #React #TypeScript #MongoDB #FullStack #WebDev #buildinpublic #developer #100DaysOfCode #chaiaurcode #chaicode #jsmastery #javascript #PostHog #warp #vscode #webdev #fullstckwebdev #developer #programming #coderabbit #AI #ai

🚀 I Haven’t Written a Single Line of Code Yet… But I Started Building a URL Shortener Instead of jumping straight into coding, I tried something different this time, I started with thinking. I asked myself: 👉 What actually happens when we paste a long URL and get a short one back? 👉 How does the system remember and redirect us instantly? That’s when I began sketching out a simple high-level design. At a basic level: A React frontend takes the long URL from the user A Node.js backend generates a unique short ID and handles redirection A MongoDB database stores the mapping between short and long URLs Then the flow clicked: User submits a long URL Backend generates a short ID Stores it in the database Returns a clean short URL When accessed → redirects to the original link Simple on the surface… but it opened up so many questions: How do we generate unique IDs at scale? How can we make redirects faster? (maybe caching 👀) What about tracking clicks or adding custom URLs? 📌 Biggest realization: Good systems aren’t just coded, they’re designed first. This is just the starting point. Next step: turning this design into a working backend ⚙️ Sharing my initial thought process below 👇 #SystemDesign #LearningInPublic #WebDevelopment #NodeJS #React #MongoDB

From UI to Full-Stack: 2 Weeks of Backend Learning! For the past two weeks, I’ve been learning the backend to understand how modern web applications function "under the hood." Today, I’m excited to share Scatch, a mini-project where I integrated my Frontend expertise with a secure, scalable Node.js backend. The Tech Stack & Challenges: # Backend: Built with Node.js & Express, using MongoDB for flexible data storage. # Authentication: Secured user accounts with Bcrypt hashing and handled session persistence with JWT and Cookies. # File Handling: Integrated Multer for dynamic product image uploads using memorystorage. # Frontend: Used EJS for server-side rendering, styled with Tailwind CSS for a responsive, modern look. # Security: Implemented Dotenv for environment variable management and custom middleware for route protection. Building this project helped me master the full CRUD lifecycle and understand the critical flow of data between the client and the server. It’s one thing to build a UI, it’s another to build the engine that powers it! 🔗 GitHub Repository: https://lnkd.in/g683J8mA If you find this project useful, please consider giving it a star! ⭐ I'd love to hear your feedback! #FullStackDeveloper #NodeJS #ExpressJS #MongoDB #WebDevelopment #MERNStack #TailwindCSS #PortfolioProject #LearningInPublic #BangladeshIT

Full-Stack Todo Management Application Built a Full-Stack Todo App that allows users to create, update, and delete tasks with due dates, priority, and status. The frontend interacts with a custom REST API built using Node.js and Express, while MongoDB stores the task data. Tech Stack: HTML, CSS, JavaScript, Node.js, Express.js, MongoDB, Mongoose Key Learning: REST APIs, CRUD operations, async JavaScript, and client-server communication. github: https://lnkd.in/dW_sBS6i #FullStackDevelopment #WebDevelopment #NodeJS #ExpressJS #MongoDB #JavaScript #RESTAPI #CRUD #BackendDevelopment #FrontendDevelopment #MERNStack #WebDevProjects #SoftwareDevelopment #LearningInPublic #CodingJourney

Is React Context API actually a "Redux Killer"? 🧐 As a MERN stack developer, I get asked this a lot. While both solve the "Prop Drilling" nightmare, they are built for very different jobs. Choosing the wrong one can lead to performance bottlenecks or unnecessary complexity. Here is the breakdown: 🟢 React Context API (The Scalpel) Best for: Low frequency updates. Use Cases: Theme switching (Dark/Light mode), User Auth state, or Language settings. Pros: Built in (Zero extra bundle size), simple setup, no boilerplate. Cons: Every value change can trigger re-renders for all consumers. It gets messy with complex logic. 🔵 Redux Toolkit / RTK (The Power Saw) Best for: High frequency updates and complex data. Use Cases: E-commerce carts, real time dashboards, or massive form states. Pros: Predictable state transitions, "Slices" for organized code, and the legendary Redux DevTools for debugging. Cons: Requires an external library and a slightly steeper learning curve. 🥊 The Quick Verdict 📍 Setup: Context is Easy | RTK is Moderate 📍 Performance: Context is Good for small data | RTK is Excellent for large data 📍 Debugging: Context is Basic | RTK is Advanced (DevTools) 💬 Let’s Settle the Debate! I’ve seen developers use Context for everything and regret it when the app scales. I’ve also seen "Counter" apps built with Redux that definitely didn't need it. Which camp are you in? 1️⃣ Context API : for life Keep it simple and native! 🍦 2️⃣ Redux Toolkit : I need the power and the DevTools! ⚡ 3️⃣ The Hybrid : Context for UI/Themes, Redux for heavy business logic. 🤝 Drop your preference in the comments! 👇 #ReactJS #ReduxToolkit #WebDevelopment #Frontend #MERNStack #Javascript #CodingTips #SoftwareEngineering #StateManagement

Goodbye JS Objects, Hello Go Maps! 🗺️🚀 Today's Golang deep dive took me straight into data structures, and it's a massive shift! Coming from the Node.js world, I’m used to throwing everything into a flexible JavaScript Object. But in Go, handling key-value pairs with map brings a whole new level of strictness and safety to the backend. Here is what I unpacked in my code today: 🔹 Strict Key-Value Contracts: I set up a map[string]float64 for a menu and a map[int]string for a phonebook. Go forces you to define exactly what type of data is going in as the key and what is coming out as the value. No random type coercion surprises! 🔹 Lightning Fast Lookups: Grabbing a value by its key is incredibly clean and efficient. This is exactly the kind of predictable data structure I need for things like fast property data lookups. 🔹 Seamless Iteration: That trusty range keyword makes an appearance again! Looping through both keys and values at the same time is ridiculously smooth. 🔹 Dynamic Updates: Reassigning and updating values on the fly works exactly how you'd expect, but with the added peace of mind of Go's compiler watching your back. Building robust, scalable backend systems requires predictable data, and Go Maps are definitely delivering. We move! 💪🏾 To my fellow backend engineers: Do you prefer the strictness of Go Maps, or do you miss the wild west flexibility of JS Objects? Let’s argue in the comments 😂👇🏾 #Golang #BackendEngineering #NodeJS #TechBro #TechInNigeria #SoftwareDevelopment #WeMove

🚀 Project Showcase: Movie Review System I’m excited to share my recent project — a Movie Review System, developed as part of my Simulation Using Modern Tools lab. This project is a full-stack web application that allows users to: ✔️ Submit movie reviews with ratings (1–5) ✔️ View and explore reviews in real-time ✔️ Filter and sort reviews based on rating and date ✔️ Experience smooth interaction with proper validation and state management 🔧 Tech Stack: Frontend: React.js, Tailwind CSS Backend: Node.js, Express.js Database: MongoDB 💡 The system is designed with modular architecture, including input validation, storage, retrieval, filtering, sorting, and output handling — ensuring scalability, performance, and clean data flow. This project helped me strengthen my skills in API development, database management, and building responsive user interfaces. 🔗 GitHub Repository: https://lnkd.in/grjsQJz9 I’d love to hear your feedback and suggestions! 😊 #WebDevelopment #FullStack #ReactJS #NodeJS #MongoDB #StudentProject #SoftwareDevelopment

🚀 React Journey: From Internal Logic to Component Architecture After diving deep into React’s Batching and how things work Behind the Scenes, I’ve spent the last few days tackling a fundamental shift in mindset: How components actually talk to each other. If State is a component’s "private memory," then Props are the bridge that connects the entire application. 💡 The Big Realization: One-Way Data Flow Coming from a JavaScript background, my instinct was to let components talk back and forth. But React follows a strict Unidirectional (Top-Down) Data Flow. This might seem restrictive at first, but it’s actually a superpower for debugging. You always know exactly where a piece of data originated. 🔑 Key Concepts I’ve Mastered This Week: Props (The Immutable Guest): Learning that a child component should never "mutate" its props. If the data needs to change, the parent must change its state. Lifting State Up: This was the "Aha!" moment. When two sibling components need the same data, we move that state to their closest common parent. Callback Functions as Props: Passing functions down so that a child can "trigger" an update in the parent without breaking the one-way flow. 🛠️ Why This Matters Understanding the internal mechanics (Batching) gave me the why, but mastering Props and Lifting State gives me the how. It’s the difference between building a single widget and architecting a scalable web application. Next stop on this MERN stack journey: The useEffect Hook and Handling Side Effects. Are you a React developer? What was the hardest part for you to grasp when you first started "Thinking in React"? Let’s discuss in the comments! 👇 Devendra Dhote #ReactJS #MERNStack #WebDevelopment #CodingJourney #FrontendDeveloper #LearningToCode #Javascript