My tech stack for web development: Next.js, TypeScript, Tailwind CSS, Firebase, Supabase, Vitest, Jest, Mocha, Chai, Cypress, Selenium, GitHub Actions, Jenkins, Docker, Prometheus, Grafana, Vercel

🚀 Tired of React Native Performance Blindspots? Meet Your New Code Quality Engineer Unused imports, deprecated packages, and bundle bloat are silently costing you performance, maintenance time, and development velocity. After analyzing hundreds of projects, I built React Native Optimizer - and it's ready for early adoption. 📊 What it delivers: • Automated unused code detection • Deprecated package alerts • Bundle size analysis • Interactive HTML reports • Zero-config setup This is where I need your expertise. As we enter the testing phase, your technical feedback will directly shape the production-ready version. But here’s the truth — I need your help to make it bulletproof. 💪 This is your open invitation to become an early tester and help shape the future of this tool. Try the analysis in seconds: npx rnopt analyze Then contribute to its development: 📸 Share your analysis results in comments 💡 Suggest critical features missing 🐛 Report any edge cases encountered This isn't just another package - it's our collective opportunity to raise the bar for React Native tooling. Your input today builds better tools for our entire community tomorrow. Ready to optimize together? Package: https://lnkd.in/eckrshpH #ReactNative #JavaScript #TypeScript #MobileDevelopment #WebDevelopment #DeveloperTools #CodeQuality #Performance #SoftwareEngineering #Programming #Tech #OpenSource #NodeJS #Developer #Coding #Programming #SoftwareDevelopment #AppDevelopment #Frontend #Backend #FullStack #DevOps #CI/CD #WebPerformance #MobileApps #TechCommunity #ProgrammingLanguages #SoftwareArchitecture #CleanCode #BestPractices #ProgrammingTips #DeveloperProductivity

💡React Tips💡 ✅ Write API calls in separate files instead of directly inside components: It avoids deep coupling of component and its code. With APIs written separately helps to change their implementation anytime without worrying about breaking the application. ✅ Don't waste time in formatting code: Install a prettier extension for VS Code and avoid the need of manually formatting code. It formats the code on every file save automatically, after configuring it. ✅ Organize code in better folder and file structure: Better organization of files for apis, services etc helps to quickly find and update the required information without wasting time. ✅ Use React Developer Tools for Debugging: Install the React Developer Tools extension in your browser to inspect component hierarchies, props, and state directly, making debugging much easier. ✅ Keep Components Small and Focused: Break your UI into small, reusable components that each handle a single responsibility. This improves readability and makes components easier to test and maintain. ✅ Use Functional Components and Hooks: Favor functional components over class components. Leverage hooks like useState, useEffect, and useContext for cleaner and more modern code. ✅ Memoize Expensive Computations: Use useMemo, or useCallback to prevent unnecessary re-renders for components or functions that handle expensive operations. ✅ Prop-Drilling? Use Context API or State Libraries: Avoid drilling props through multiple levels by using React Context or state management tools like Redux for global state handling. ✅ Lazy Load Components: Optimize performance by using React.lazy and Suspense to split your code and load components only when needed. ✅ Follow Clean and Semantic Naming Conventions: Name components, files, and functions descriptively to improve code readability and collaboration with other developers. 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝘂𝘀𝗲𝗳𝘂𝗹 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗱𝗼𝗻'𝘁 𝗳𝗼𝗿𝗴𝗲𝘁 𝘁𝗼 𝗳𝗼𝗹𝗹𝗼𝘄 𝗺𝗲. #javascript #reactjs #nextjs #webdevelopment

Stages of Errors in node.js? Errors in Node.js can be understood through multiple stages — from how they occur to how they’re handled and resolved. These stages help developers build resilient and fault-tolerant applications. 🔹 1️⃣ Error Generation / Occurrence Syntax Errors: Happen during the parsing phase due to invalid JavaScript syntax (e.g., missing brackets, misspelled keywords). Runtime Errors: Occur while executing code — e.g., undefined variables, failed I/O operations, or system-level issues. Logical Errors: Result from flaws in program logic that produce incorrect results without throwing explicit errors. 🔹 2️⃣ Error Propagation Synchronous Code: Errors bubble up the call stack. Without try...catch, they become uncaught exceptions. Asynchronous Code: Errors in callbacks, Promises, or async/await must be handled explicitly to avoid silent failures. 🔹 3️⃣ Error Detection & Handling try...catch: For synchronous error handling. Callback Pattern: Errors passed as the first argument in Node-style callbacks. Promises & Async/Await: Use .catch() or try...catch for async error handling. Event Emitters: Errors are emitted as 'error' events that must be listened for. Global Handlers: process.on('uncaughtException') and process.on('unhandledRejection') act as last-resort handlers (use cautiously). 🔹 4️⃣ Error Logging & Reporting Logging: Capture stack traces and detailed info for debugging and monitoring. Monitoring Tools: Services like Sentry, Bugsnag, or Rollbar offer real-time error tracking and insights. 🔹 5️⃣ Error Resolution Debugging: Trace the source using logs and stack traces. Code Correction: Fix logic or handling flaws. Deployment: Release patches or updates to resolve the identified issue. #NodeJS #ErrorHandling #JavaScript #BackendDevelopment #WebDevelopment #Programming

If both Promises and async/await do the same job, why does the output look different? Both handle asynchronous code in Node.js, but the way they execute makes all the difference. When using a Promise, the code in the main thread doesn’t wait for the background task to finish. It proceeds and executes the next lines while the background task continues. console.log("Start"); // API call (takes 2 seconds) fetch(`https://lnkd.in/dFBr7zPe) // Returns a Promise .then(() => console.log("API call done!")); console.log("End"); Output: Start End API call done! (after 2 seconds) That’s because the main thread doesn’t stop; it just keeps going. Now see the same thing with async/await console.log("Start"); // API call (takes 2 seconds) await fetch(`https://lnkd.in/dFBr7zPe); console.log("API call done!"); console.log("End"); Output: Start API call done! End In the case of await, the main thread pauses execution until it receives the result from the background task. During this wait, that part of the code is temporarily removed from the call stack. Once the result comes back, execution resumes from the same line and continues normally. Here, await tells Node.js to wait for the result before moving ahead. That’s why async/await code is more readable and easier to follow than using .then(). #Nodejs #JavaScript #AsyncProgramming #WebDevelopment #CodingTips

𝗝𝘂𝘀𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱 𝗺𝘆 𝗳𝗶𝗿𝘀𝘁 𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗷𝗲𝗰𝘁! I built a full-stack CRUD web application using the MERN stack (MongoDB, Express.js, React, Node.js) and integrated Selenium WebDriver (Microsoft Edge) for automated end-to-end testing. This project helped me understand how frontend and backend components work together — and how automation testing can validate the entire user flow from UI interactions to database updates. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 ✅ Add, View, Update, and Delete users ✅ Backend API with Express + MongoDB ✅ Modern React UI with Material UI styling ✅ Fully automated CRUD flow tested with Selenium ✅ Real-time verification of data and UI 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Frontend: React, Material UI, Axios Backend: Node.js, Express.js, MongoDB Testing: Selenium WebDriver (Edge) 𝗧𝗲𝘀𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 Launched browser with Selenium Automatically filled form fields Verified “Add → Update → Delete” operations Validated success through UI changes Closed browser after test completion This was a small but powerful step into the world of automation testing — learning to integrate test scripts with real-world web apps. GitHub Repository: https://lnkd.in/gAuTqNg2 #selenium #mernstack #automationtesting #reactjs #nodejs #expressjs #mongodb #softwaretesting #qualityassurance #webdevelopment #learningjourney

👩💻 A Full Stack Developer acts like an orchestra conductor 🎶 Balancing frontend and backend technologies, tools, and concepts to create seamless applications 🎻 A modern full stack journey usually includes: 💻 Front-end (user interface) - Angular / React - HTML, CSS, TypeScript - State management, services, routing - Unit testing–Jest, Cypress ⚙️ Back-end (application logic) - Spring Boot (REST APIs, JWT security, services) - Data handling with JPA / Hibernate - Unit & integration testing (JUnit, Mockito) - API documentation (Swagger, Postman) 🗄️ Databases - SQL (MySQL, PostgreSQL, H2) - Queries, relationships, constraints 🚀 DevOps & tooling - Git / GitHub / GitHub Actions - CI/CD pipelines - Docker & deployment - SonarQube (code quality) 🔐 Security best practices - Authentication & authorization (JWT) - Roles & permissions - Data validation: frontend & backend ✨ And above all: Curiosity, logic, and ongoing learning are essential for thriving in full stack development. It’s not just about coding frontend and backend, it’s about understanding the entire system #FullStackDeveloper #SpringBoot #Angular #WebDevelopment #WebDev #Backend #Frontend #CodingLife #Innovation #TechStory

"Vibe coding" until your entire backend leaks through the frontend. 💀 We’ve all been there — rushing to ship that shiny new feature, pushing a quick fix, skipping backend validations “just for now.” Next thing you know… Your API is publicly returning everyone’s email IDs in plain text. 😬 This isn’t about roasting anyone. It’s a reality check. Here’s what usually goes wrong (and how to fix it): ⚙️ Mistake 1: Exposing sensitive data in API responses → Fix: Always sanitize your responses. Return only what the UI needs. 🔐 Mistake 2: No authentication layer → Fix: Use proper JWT/session auth, and validate every request. 🧱 Mistake 3: No staging environment → Fix: Never test live on production. Local + staging saves reputations. 🧠 Mistake 4: Ignoring “security by design” → Fix: Think security from day one, not as an afterthought. We joke about it online, but this is how real-world data leaks happen. Code smart. Ship safe. ✌️ #frontend #backend #webdevelopment #javascript #reactjs #nodejs #codinghumor #developers #softwareengineering

Understanding Asynchronous Behavior in Node.js One of the things that makes Node.js so powerful (and confusing at first) is its asynchronous nature. Although Node.js only uses one thread, it doesn't pause while awaiting network calls, file reads, or database queries. The speed and scalability of Node.js are due to its efficient handling of multiple operations through the use of an event loop. These are the three primary methods for managing asynchronous programming in Node.js : 1. Callbacks – The OG way. fs.readFile('data.txt', (err, data) => {  if (err) throw err;  console.log(data.toString()); }); Easy, but if over-nested, it can result in callback hell. 2. Promises: Chainable and cleaner. fetch(url)  .then(res => res.json())  .then(data => console.log(data))  .catch(err => console.error(err)); Writing more readable asynchronous flows is facilitated by promises. 3. Async/Await – The modern favorite. const getData = async () => {  try {   const res = await fetch(url);   const data = await res.json();   console.log(data);  } catch (err) {   console.error(err);  } }; getData(); works asynchronously but appears synchronous. Clear, simple to use, and debug-friendly! To put it briefly: Callbacks = basic Promises = better Async/Await = best (in most cases) Understanding how the event loop, callbacks, and microtasks work together is key to writing efficient Node.js apps. Which approach—async/await or traditional callbacks—is your favorite for managing async operations in Node.js? #Nodejs #JavaScript #WebDevelopment #Backend #AsyncProgramming #Developers

Understanding the Fetch API in JavaScript: The Fetch API is a built-in feature in JavaScript that allows developers to send and receive data between a web page and a server. It provides a modern and cleaner way to make HTTP requests compared to the traditional XMLHttpRequest method. It is widely used for tasks such as retrieving information from APIs, submitting forms, and communicating with backend services — all without reloading the web page. What is Fetch API? The Fetch API works based on promises, which means it handles data asynchronously. While the request is being processed, the rest of the code continues to execute. Once the server responds, the data is returned and can be processed further. This makes web applications faster, smoother, and more efficient when interacting with external data sources. Example: // Fetching data from an API fetch('https://lnkd.in/gtjUiHAs') .then(response => response.json()) // Converts response to JSON .then(data => console.log(data)) // Displays the data .catch(error => console.error('Error:', error)); // Handles errors Explanation: fetch() sends a request to the given URL. .then() is used to handle the successful response. .catch() is used to handle any errors during the request. Key Advantages of Fetch API * Easy to use and read * Handles requests asynchronously * Supports modern JavaScript syntax (async/await) * Works seamlessly with JSON data * Enhances frontend-backend communication The Fetch API is a core part of modern web development. It enables websites and web applications to be more interactive, data-driven, and user-friendly. Understanding its usage is essential for every frontend and full-stack developer. KGiSL MicroCollege #FrontendEngineer #FullStackEngineer #WebDevelopers #CodeNewbie #CleanCode #WebTechnology #SoftwareDevelopment #ProgrammingLanguages #JavaScriptCommunity #WebInnovation #DeveloperExperience #CodeSmart #TechInnovation #AppDevelopment #FrontendDesign #WebFrameworks #AsyncJS #WebProgramming #DeveloperMindset #TechEducation #CodeLearning #TechGrowth #DigitalInnovation #JSProgramming #WebProjects #WebCoding #WebEngineering #FrontendMasters #WebDevCommunity #DeveloperCareer

Zod is a TypeScript-first schema validation library that seamlessly combines compile-time type safety with runtime validation. By defining schemas, Zod not only validates data during runtime but also deduces TypeScript types automatically, offering a dual benefit. Discover in this article how Zod simplifies schema validation and harmoniously integrates with TypeScript and React applications. https://lnkd.in/gsWVeVzK #javascript #frontend #typescript #zod #validation #react