API Status Codes for React Developers

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 #𝗩𝗶𝘀𝘂𝗮𝗹𝗟𝗼𝗴𝗶𝗰𝗘𝗻𝗴𝗶𝗻𝗲: 𝗠𝗼𝘃𝗶𝗻𝗴 𝗕𝗲𝘆𝗼𝗻𝗱 𝗦𝘁𝗮𝘁𝗶𝗰 𝗨𝗜 I’ve always been fascinated by "low-code" tools like Zapier, Node-RED and Mostly N8N, so I decided to build my own version from scratch. I’m excited to share a project I’ve been working on: 𝗔 𝗡𝗼𝗱𝗲-𝗕𝗮𝘀𝗲𝗱 𝗩𝗶𝘀𝘂𝗮𝗹 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲. It’s not just a UI; it’s a fully functional execution environment where you can orchestrate live API workflows. 𝗧𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: How do you let a user write code in a node, execute it safely, and make it "wait" for an API response before moving to the next node? 𝗧𝗵𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: I built a custom execution engine using the AsyncFunction constructor. This allows each node to handle asynchronous tasks like fetch while passing data down the chain in real-time. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: ✅ 𝗔𝘀𝘆𝗻𝗰 𝗡𝗼𝗱𝗲 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: Full support for async/await inside every node. ✅ 𝗗𝗮𝘁𝗮 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Pass the output of a POST request directly into a DELETE node. ✅ 𝗟𝗶𝘃𝗲 𝗖𝗼𝗻𝘀𝗼𝗹𝗲 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻: I intercepted the global console.log to provide real-time feedback within the UI. ✅ 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗦𝘁𝗮𝘁𝘂𝘀 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Visual feedback (Pending/Success/Error) using React Flow's state management. In the demo below, you can see a full 𝗖𝗥𝗨𝗗 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 using the DummyJSON API. The engine fetches a list, creates a new entry, updates it, and finally deletes it—all while animating the data flow. Next up: Adding persistent storage so users can save and share their logic flows! Github : https://lnkd.in/eK7h9vFc #ReactJS #TypeScript #ReactFlow #WebDevelopment #SoftwareEngineering #JavaScript #Programming React, Reactflow and Google

𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗦𝘁𝗮𝘁𝗲 𝗶𝗻 𝗥𝗲𝗮𝗰𝘁 𝗶𝘀 𝗦𝗶𝗺𝗽𝗹𝗲… 𝗨𝗻𝘁𝗶𝗹 𝗜𝘁 𝗜𝘀𝗻’𝘁 Managing state in React used to feel simple… until your app started growing. At the beginning, useState works perfectly. You manage a few variables inside a component, pass props where needed, and everything feels clean. But as your application scales, things start to change — props drilling becomes messy, multiple components depend on the same data, and tracking updates gets harder. That’s when you realize — state management isn’t just about storing data, it’s about how data flows across your app. Here’s how common state management approaches work: useState (Local State) : Each component manages its own state independently. Simple and effective, but not ideal when many components need the same data. Context API : Creates a global store that can be accessed by any component without passing props manually. Useful for shared data like themes, auth, or user info. Redux : Centralized store for the entire application. State is updated through actions and reducers, making changes predictable and easier to debug, especially in large apps. Redux Toolkit : A simplified version of Redux that reduces boilerplate and makes state management faster and cleaner. Lightweight alternatives that offer simpler APIs and more flexibility for managing global or shared state. In my experience as a Full Stack Developer, choosing the right tool depends on the complexity of the application — smaller apps work well with Context, while larger systems benefit from structured tools like Redux. The goal isn’t just to manage state… It’s to make your application predictable, scalable, and easy to maintain. #FullStackDevelopment #WebDevelopment #Java #React #SpringBoot #SoftwareEngineering #Coding #Developers #C2C #C2H #Lakshya #Apex #insightGlobal #BitwiseGlobal #JudgeGroup #Frontend #ReactJS #JavaScript #StateManagement #Redux #ContextAPI #Zustand #Recoil

🚀 𝐃𝐚𝐲 2/30 – 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐒𝐞𝐫𝐢𝐞𝐬: 𝐄𝐯𝐞𝐧𝐭 𝐋𝐨𝐨𝐩 (𝐓𝐡𝐞 𝐇𝐞𝐚𝐫𝐭 𝐨𝐟 𝐍𝐨𝐝𝐞.𝐣𝐬) If you understand this, you understand Node.js. Most developers say Node.js is single-threaded… 👉 But still wonder: “How does it handle multiple requests?” The answer = 𝐄𝐯𝐞𝐧𝐭 𝐋𝐨𝐨𝐩 🔁 💡 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐄𝐯𝐞𝐧𝐭 𝐋𝐨𝐨𝐩? It’s a mechanism that: ➡ Continuously checks if tasks are completed ➡ Moves completed tasks to execution ➡ Ensures Node.js doesn’t block 🧠 𝐇𝐨𝐰 𝐢𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐬 (𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝): Call Stack → Executes code Web APIs / System → Handles async tasks (I/O, timers, API calls) Callback Queue → Stores completed tasks Event Loop → Pushes them back to stack when ready 🔁 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐟𝐥𝐨𝐰: 𝘤𝘰𝘯𝘴𝘰𝘭𝘦.𝘭𝘰𝘨("𝘚𝘵𝘢𝘳𝘵"); 𝘴𝘦𝘵𝘛𝘪𝘮𝘦𝘰𝘶𝘵(() => { 𝘤𝘰𝘯𝘴𝘰𝘭𝘦.𝘭𝘰𝘨("𝘛𝘪𝘮𝘦𝘰𝘶𝘵 𝘥𝘰𝘯𝘦"); }, 0); 𝘤𝘰𝘯𝘴𝘰𝘭𝘦.𝘭𝘰𝘨("𝘌𝘯𝘥"); 👉 Output: Start End Timeout done ❗ Even with 0ms, it waits — because Event Loop prioritizes the call stack first. ⚡ Why this matters in real projects Let’s say: 100 users hit your API Each API calls DB + external service Without event loop: ❌ Requests block each other With Node.js: ✅ Requests are handled asynchronously ✅ System stays responsive 🔥 From my experience: In production systems, long-running operations (like file processing, invoice parsing, etc.) should NOT sit in the event loop. 👉 We offloaded them to async queues (Service Bus / workers) Why? ✔ Keeps event loop free ✔ Avoids blocking requests ✔ Improves scalability ⚠️ Common mistake developers make: while(true) { // heavy computation } ❌ This blocks the event loop → entire app freezes ✅ Takeaway: Event Loop is powerful, but: ✔ Keep it light ✔ Offload heavy tasks ✔ Design async-first systems 📌 Tomorrow (Day 3): Callbacks → Why they caused problems (Callback Hell) #NodeJS #EventLoop #JavaScript #BackendDevelopment #SystemDesign #FullStack

🚀 I just published my first npm package, called "auto-detect-route" When I started working with Express.js, one thing kept slowing me down: Every time I created a new API -> I had to test it manually in Postman. Copy URL, set headers, write body, repeat again and again. Even with Swagger, it didn’t fully solve the problem. You still need to maintain configs and update docs whenever APIs change. So I thought, why not automate this completely? So I built "auto-detect-route". It scans your codebase, detects all your routes, and automatically generates a working API explorer inside your app. No config. No annotations. No manual documentation. ⚙️ How it works 1. Reads your JS/TS files using AST parsing 2. Traverses route structure using Depth First Search (DFS) 3. Resolves nested routers across files 4. Detects request body structure from handlers 5. Generates a ready-to-use API testing UI 💡 What problem does it solve-> 1. No need to manually test APIs in Postman 2. No need to maintain Swagger docs 3. No need to remember routes, params, or request formats Everything is auto-detected from your code. 🧪 Try it app.use('/api-explorer', autoDetectRoute()) Then visit -> http://localhost:3000/api-explorer 📦 NPM: https://lnkd.in/gEVmwKez 🔗 GitHub: https://lnkd.in/gd_ar2Tp Currently built for Express.js (Node.js), planning to extend support to Next.js and other frameworks. Would love feedback from backend developers. What edge cases should I handle next? #nodejs #expressjs #javascript #typescript #opensource #devtools #webdevelopment #npm

Headline: Is Swagger UI making Postman obsolete? (Short answer: No.) 🛑 I’ve been hearing this a lot lately: "Why bother with Postman when my API has Swagger UI built-in?" If you’re building a MERN stack or NestJS app, Swagger is fantastic. It’s your "Storefront"—it looks great, it's interactive, and it tells your frontend team exactly what to do. But when I’m actually in the "Test Kitchen" building the API, I’m still reaching for Postman. Here is why: ✅ The "Nodemon" Factor: Swagger UI usually lives on your server. Every time your code changes and the server restarts, you lose your state. In Postman, my complex JSON bodies and headers stay right where I left them. No re-typing required. ✅ Automated Auth Chaining: I don't have time to copy-paste JWT tokens. I use a simple Postman script to grab the token from the Login response and inject it into every other request automatically. ✅ Testing the "Breaking" Points: Swagger is built on your schema. It wants you to send good data. I use Postman to send absolute garbage to my endpoints to make sure my Zod/Joi validation and error handling are actually bulletproof. ✅ Environment Swapping: Switching from localhost:5000 to staging-api.com is a one-click dropdown in Postman. The Verdict? Swagger UI is for Documentation. It’s the map for the people using your API. Postman is for Development. It’s the power tool for the person building it. You don't need to choose one. Use Swagger to be a good teammate, and use Postman to be a fast developer. ⚡ What’s your workflow? Are you team "Browser Tab" or team "Collection"? 👇 #WebDevelopment #API #Postman #Swagger #CodingTips #Backend #FullStackDevelopment #NodeJS #SoftwareEngineering

Most developers think this is a “small mistake”… But it can break your entire application. Today, I debugged an issue where a search feature was showing old API results. At first glance, everything looked correct: - API was working - State was updating - No errors in console But the problem was subtle 👇 When users typed fast, multiple API calls were triggered. And sometimes, a slower previous request finished after the latest one. Result? 👉 Old data overwrote the new results. This is called a race condition — and it’s more common than people think. 💡 How I fixed it: - Used request cancellation (AbortController) - Tracked latest request ID - Ignored outdated responses Simple fix. Big impact. --- As developers, it’s not always about writing code. It’s about understanding how systems behave under real user conditions. Have you faced something like this in your projects? --- #mernstack #reactjs #webdevelopment #javascript #fullstackdeveloper #softwareengineering #codingtips #frontenddevelopment #backenddevelopment #devcommunity

𝗬𝗲𝘀𝘁𝗲𝗿𝗱𝗮𝘆, 𝗥𝗲𝗮𝗰𝘁 𝗱𝗲𝗰𝗶𝗱𝗲𝗱 𝘁𝗼 𝘀𝘁𝗼𝗽 𝗿𝗲𝗮𝗰𝘁𝗶𝗻𝗴. 𝗔𝗻𝗱 𝗶𝘁 𝗮𝗹𝗺𝗼𝘀𝘁 𝗯𝗿𝗼𝗸𝗲 𝗺𝘆 𝘀𝗮𝗻𝗶𝘁𝘆. I was building a new feature for our dashboard. I fetched the data, updated the array, and logged it to the console. `console.log(myData)` 👉 showed the perfect, updated array. The UI? 👉 Completely frozen. Unchanged. Ghosting me. I spent 3 hours questioning everything.  ❌ Is my component unmounting? No. ❌ Is the API failing? No. ❌ Did I forget to save the file? (Don't laugh, I checked twice). Then, I finally realized what I did. I committed the ultimate React cardinal sin: 𝗜 𝗺𝘂𝘁𝗮𝘁𝗲𝗱 𝘁𝗵𝗲 𝘀𝘁𝗮𝘁𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆. I was using `data.push(newItem)` instead of creating a new reference. React was looking at the array, seeing it was the 𝗲𝘅𝗮𝗰𝘁 𝘀𝗮𝗺𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲, and saying: "𝗡𝗼𝘁𝗵𝗶𝗻𝗴 𝘁𝗼 𝘀𝗲𝗲 𝗵𝗲𝗿𝗲, 𝗜'𝗺 𝗻𝗼𝘁 𝗿𝗲-𝗿𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴!" The 3-hour fix?  Replacing `data.push()` with `[...data, newItem]`. Three little dots `...` saved my day. 𝗠𝘆 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: 1️⃣ Immutability in React isn't just a best practice; it's the law. 2️⃣ `console.log` can lie to you if you don't understand object references. 3️⃣ Sometimes, you just need to step away from the screen for 5 minutes. What’s the most embarrassing bug you’ve spent way too long fixing? Drop it in the comments so I feel less alone! #ReactJS #FrontendDeveloper #Debugging #SoftwareEngineering #DeveloperLife #JavaScript

💡 𝗪𝗵𝘆 "𝗢𝗹𝗱 𝗦𝗰𝗵𝗼𝗼𝗹" 𝗩𝘂𝗲 𝗢𝗽𝘁𝗶𝗼𝗻𝘀 𝗔𝗣𝗜 𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗮 𝘀𝗲𝗰𝗿𝗲𝘁 𝘄𝗲𝗮𝗽𝗼𝗻 𝗳𝗼𝗿 𝘀𝘁𝗮𝗯𝗹𝗲 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. Unpopular opinion: I still prefer the Vue.js Options API for building complex information systems. 🚀 While the Composition API is fantastic for logic extraction and TypeScript flexibility, the structured nature of the Options API remains a "stability powerhouse" for long-term maintenance. Here’s why: 1️⃣ 𝗘𝗻𝗳𝗼𝗿𝗰𝗲𝗱 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 In a massive information system, cognitive load is the enemy. With the Options API, I know exactly where to look for data, methods, and watchers. It’s an architectural "place for everything and everything in its place" approach that makes onboarding new developers a breeze. 2️⃣ 𝗥𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲 When you’re dealing with hundreds of views and data-heavy forms, the clear separation of concerns (data, computed, methods) acts as a natural guide. It prevents the "spaghetti setup" that can sometimes happen when lifecycle hooks and state are mixed together without strict discipline. 3️⃣ 𝗧𝗵𝗲 "𝗜𝗳 𝗶𝘁 𝗮𝗶𝗻'𝘁 𝗯𝗿𝗼𝗸𝗲" 𝗙𝗮𝗰𝘁𝗼𝗿 Stable systems require stable patterns. Many of the enterprise tools we build today need to be maintainable for the next 5–10 years. The Options API is battle-tested, highly readable, and reduces the risk of over-engineering simple UI logic. Don't get me wrong—the Composition API is a game-changer for shared utility logic. But for the core "bread and butter" views of an information system? The Options API is still my go-to for speed and structural integrity. What’s your take? Are you fully "Setup" or do you still find value in the classic Options approach? 👇 #VueJS #WebDevelopment #Frontend #SoftwareArchitecture #Javascript #CleanCode #Programming

Most developers treat components like functions. Just input, output, done. But that thinking leads to a mess fast. What I was doing wrong: ❌ Putting everything in one giant component ❌ Fetching data directly inside UI components ❌ Ignoring the rules of hooks until bugs appeared ❌ Re-rendering everything because state lived in the wrong place What actually works: ✅ Separating concerns — UI, logic, and data each have a home ✅ Custom hooks to keep components clean and readable ✅ Lifting state only as high as it needs to go ✅ Memoization where it counts, not everywhere The real shift wasn't learning a new library or pattern. It was understanding that React rewards you for thinking about data flow before you write a single line of JSX. Your component tree is a reflection of how well you understand your data. Once I internalized that, debugging got easier, reviews got faster, and onboarding new teammates stopped being painful. React isn't hard. But writing React that other people can maintain? That takes intentional practice. Still learning. Still improving 🚀 #React #Frontend #WebDevelopment #JavaScript #SoftwareEngineering #ReactJS #CodeQuality

Hitesh Choudhary I used to think frontend and backend just “connect automatically.” Like magic. Click a button → data appears. But after this lecture, I finally understood what actually happens behind the scenes… and it’s not magic at all. It’s configuration, rules, and a lot of small things working together. 💻 What I learned: • How frontend and backend communicate through APIs • Why CORS exists (and why it blocks your requests 😅) • How proxy helps in development to avoid CORS issues • Real request flow: Frontend ➝ Backend ➝ Response • Why things break even when your code looks “correct” 💡 Biggest realization: The hardest part is not writing code… It’s making different systems talk to each other properly. Once that clicked, full-stack development started making more sense. ⚡ What I’m focusing on next: • Building full-stack projects (not just isolated backend) • Handling real-world errors and debugging • Making apps actually work end-to-end 📌 Learning step by step — now things are starting to connect (literally 😄) 🔗 Video: [https://lnkd.in/gmvstDy5] #BackendDevelopment #FullStackDevelopment #NodeJS #CORS #WebDevelopment #LearningInPublic