Learn React Hooks from Basics to Advanced Patterns

🚀 Introducing Codyn IDE – An AI-Powered Code Editor I’m excited to share my new project — Codyn IDE, a modern, AI-powered web-based code editor built using Next.js 15, React 19, and CodeLlama integration. 💡 What is Codyn IDE? Codyn IDE is a smart, browser-based coding environment that allows developers to create, edit, and run projects directly in the browser using WebContainer technology. It includes an AI assistant that can generate, explain, refactor, and debug code in real-time — making the development process faster and more intuitive. ⚙️ Key Highlights 🧠 AI Assistant – Generate, explain, and debug code using natural language 💬 AI Chat Panel – Interact with the assistant directly inside the IDE 💻 WebContainer Integration – Run Node.js environments entirely in the browser 🧩 Template System – Start instantly with templates like React, Vue, Express, and more 🔐 Authentication – Secure login via GitHub and Google 🧠 Smart Dashboard – Manage projects with favorites, GitHub repo import, and live preview 💬 xterm.js Integration – Fully functional browser-based terminal for running commands in real time 🧩 Tech Stack: Next.js 15 | React 19 | Tailwind CSS | Zustand | Prisma ORM | MongoDB | NextAuth.js | WebContainer | xterm.js | CodeLlama 💡 What I Learned: While building Codyn IDE, I explored and learned many new technologies — from WebContainer (running Node.js directly in the browser) and xterm.js (creating a live terminal interface) to integrating AI models like CodeLlama for real-time code assistance and chat-based coding. This project really helped me understand how browser-based development environments can combine AI and real-time execution to enhance the coding experience. 💻 GitHub Repository: 🎥 A demo video is attached showcasing Codyn IDE in action. I’d love to hear your thoughts and feedback! #AI #WebDevelopment #Nextjs #React #CodynIDE #Coding #Innovation #FullStackDevelopment #ProjectShowcase

⚛️ React Learning Series – Day 8 Building Reusable Logic with Custom Hooks By now, we’ve explored React’s built-in hooks like useState(), useEffect(), useContext(), and useReducer(). But what if you find yourself using the same logic in multiple components — like fetching data or handling form inputs? That’s where Custom Hooks shine. 🌟 🔹 What Are Custom Hooks? A custom hook is simply a JavaScript function that starts with use and lets you reuse stateful logic. Here’s an example 👇 import { useState, useEffect } from "react"; function useFetch(url) { const [data, setData] = useState(null); useEffect(() => { fetch(url) .then(res => res.json()) .then(setData); }, [url]); return data; } Now you can use it anywhere: const users = useFetch("https://lnkd.in/gNiygD_6"); Just like that — you’ve built a reusable, self-contained logic block! 🔁 🔹 Why It’s Important ✅ Keeps components clean and focused on UI ✅ Makes logic reusable and easier to maintain ✅ Improves readability by hiding repetitive code ✅ Encourages modular architecture in large apps In short — custom hooks = cleaner code, less repetition, and smarter reusability. #ReactJS #WebDevelopment #Frontend #JavaScript #ReactHooks #CustomHooks #CleanCode #LearnToCode #SoftwareEngineering #TechCommunity #ProgrammingLife

⚛️ React Learning Series – Day 8 Building Reusable Logic with Custom Hooks By now, we’ve explored React’s built-in hooks like useState(), useEffect(), useContext(), and useReducer(). But what if you find yourself using the same logic in multiple components — like fetching data or handling form inputs? That’s where Custom Hooks shine. 🌟 🔹 What Are Custom Hooks? A custom hook is simply a JavaScript function that starts with use and lets you reuse stateful logic. Here’s an example 👇 import { useState, useEffect } from "react"; function useFetch(url) { const [data, setData] = useState(null); useEffect(() => { fetch(url) .then(res => res.json()) .then(setData); }, [url]); return data; } Now you can use it anywhere: const users = useFetch("https://lnkd.in/gNiygD_6"); Just like that — you’ve built a reusable, self-contained logic block! 🔁 🔹 Why It’s Important ✅ Keeps components clean and focused on UI ✅ Makes logic reusable and easier to maintain ✅ Improves readability by hiding repetitive code ✅ Encourages modular architecture in large apps In short — custom hooks = cleaner code, less repetition, and smarter reusability. #ReactJS #WebDevelopment #Frontend #JavaScript #ReactHooks #CustomHooks #CleanCode #LearnToCode #SoftwareEngineering #TechCommunity #ProgrammingLife

If your vibe coding then dont miss this read..... Was vibe coding with a friend yesterday who kept hitting walls with Claude writing React 19 code. Hooks breaking. State management going sideways. The usual chaos. So I told him something that sounded crazy: "Code like it's 2015." We switched to jQuery and vanilla JavaScript. Suddenly? The AI was a completely different beast. Clean code. Fewer hallucinations. Actually worked on first try. Here's what nobody's talking about: LLMs learned from millions of Stack Overflow answers, GitHub repos, and tutorials from the 2010s. There's just MORE training data for older, stable stacks. When you ask it to write React Server Components, it's guessing. When you ask for a jQuery AJAX call? It's SEEN that pattern 10,000 times. And here's the kicker - most enterprises aren't running bleeding-edge frameworks anyway 📊 I've walked through data centers where Angular 1.x is still humming along. Backbone.js powering billion-dollar workflows. These companies aren't behind the times - they're smart. Stability matters more than GitHub stars. The real lesson? When you're vibe coding (prototyping, internal tools, quick MVPs), maybe don't reach for the latest framework. Use what the AI actually knows deeply. Save React/Next/Svelte for when you're architecting something you'll maintain for years. The best tool isn't always the newest tool. Sometimes it's the one with 15 years of battle-tested examples in the training data 💡 What's your take? Are we sleeping on "old" tech for AI-assisted development? #AIcoding #SoftwareDevelopment #EnterpriseIT #TechLeadership #DeveloperTools #LLMs #CodingWithAI #TechStrategy #SoftwareEngineering #DigitalTransformation

🌟 Day 14 of My #100DaysOfCodeChallenge — Building an Interactive Dictionary App! 📚💻 I created an English Dictionary App using HTML, CSS, and JavaScript, which fetches live word meanings, examples, and pronunciation using a free Dictionary API. At first, I only knew that “API” means connecting to an external source, but today I truly understood how it works! 😍 Here’s how the project functions and what I learned 👇 🔹 How It Works: The user types a word and clicks “Search.” JavaScript sends a fetch() request to the Dictionary API. The API sends back a JSON response with the word’s meaning, example, and sound URL. JavaScript reads this data and updates the HTML content dynamically using DOM manipulation — showing the meaning, part of speech, and even playing the pronunciation audio! If the word is invalid, it shows a proper error message — no crash, no confusion! 🔹 Key Learnings: ✅ fetch() & async/await: helped me understand how to handle real-time data asynchronously. ✅ JSON structure: taught me how to extract specific data like “meaning” or “example” from a complex nested object. ✅ Error handling: learned to use conditions like if (data[0].meanings) to avoid breaking the app. ✅ Optional chaining (?.): very useful for accessing deep properties safely. ✅ Event listeners: connected button clicks and “Enter” key actions for better user experience. This project showed me how JavaScript brings logic, interactivity, and intelligence into a web page. It was not just about coding — it was about learning how the web thinks and responds! 🧠💡 Git - https://lnkd.in/gDJ9jrFJ ✨ #100DaysOfCode #JavaScript #FrontendDevelopment #WebDevelopment #APIIntegration #CodingJourney #AsyncAwait #CodeNewbie #LearnCoding #SoftwareEngineer #ProgrammingLife #BuildInPublic #TechLearning #DeveloperCommunity #DictionaryApp #CodingMotivation #DailyCodeChallenge #JSDeveloper #SoftwareDevelopment #WebApps Saurabh Shukla

I just tested 47 different prompts across 6 LLMs using modern vs legacy tech stacks. The results? Honestly shocking 📊 Started this experiment three weeks ago after a CTO told me his team was spending more time debugging AI-generated React code than just writing it themselves. So I built a testing framework: Same functionality across jQuery, Angular 1.x, React 16, React 19, Vue 2, and vanilla JS Tested on GPT-4, Claude, Gemini, and three others Measured: accuracy, first-run success rate, and debugging time What I found broke my assumptions about "modern = better" The older the stack, the cleaner the output. And it's not even close. jQuery had an 89% first-run success rate. React 19? 34%. But here's where it gets interesting - I also mapped this against ACTUAL enterprise tech debt data from 230 Fortune 1000 companies. The correlation is wild. Turns out there's a "sweet spot" year for AI-assisted coding. And it's not what you think. I've packaged this into a one-page framework: the optimal stack selection matrix for AI-assisted development. Shows you exactly when to use what based on project type, timeline, and team makeup. If you want a copy, drop "FRAMEWORK" in the comments and I'll send it over. Curious what year YOU think is the sweet spot for vibe coding? (My money was on 2018. I was wrong.) #AIcoding #CTOInsights #TechLeadership #SoftwareEngineering #EnterpriseIT #DeveloperProductivity #AItools #TechStrategy #DigitalTransformation #Innovation

The "innovation" trap. We have all been there. You see a YouTube video showcasing the latest JavaScript framework. The benchmarks look incredible. The syntax is cleaner. The performance is 10% better. The comments are filled with engineers praising how much faster they ship now. We in the tech industry have this pull toward new technology. We want to work on the latest and greatest. We worry that staying with older tools means falling behind. But here's what we forget: we don't ship code, we ship products that solve problems for real people. When we spend six months migrating to a new framework, we're not shipping product. We're rewriting the tool we use to ship product. The code is just the means to an end. I watched a team adopt GraphQL because REST felt old. Two years later, they're still debugging N+1 query problems and arguing about schema design. Here's what actually happened: their clients query everything anyway. The flexibility GraphQL promised turned into frontend developers pulling entire object graphs because it's easier than thinking. GraphQL is overengineering for most applications. It solves problems that sound interesting in conference talks but rarely exist in practice. The pattern repeats. WebSockets instead of HTTP polling when you check for updates every 30 seconds. Microservices instead of modules when your team has eight engineers. Kubernetes instead of VMs when you deploy twice a week. Dan McKinley's framework: you get three innovation tokens. Spend them on problems your users have, not on rewriting working systems. PostgreSQL is boring. Node.js is boring. Rails is boring. Basecamp, GitHub, and Shopify all run on boring technology. None are held back by it. They win because they focused on solving user problems, not on stack elegance. Pick technology so boring your team forgets about it and focuses on the problems you're solving. That's when you win. 👉 Full article on choosing boring technology: https://lnkd.in/dGWuG8fY

Evan You just dropped Vite+: one CLI to rule them all. Dev, test, lint, format, build—unified in Rust. This is JavaScript's Cargo moment 🚀 At ViteConf Amsterdam last week, VoidZero unveiled the most ambitious JavaScript tooling project since npm: Vite+, a single CLI that replaces your entire fragmented tool stack. What Vite+ gives you: vite new   # Scaffold monorepos with code generators vite test   # Vitest with browser mode, visual regression   vite lint   # Oxlint (100× faster than ESLint) vite fmt   # Oxfmt (99%+ Prettier compatible) vite lib   # Bundle libraries with DTS generation vite run   # Smart task runner with auto-caching vite ui    # GUI devtools for bundle analysis One command, zero config fragmentation. Why this matters: Current reality: Your project probably has 15+ tools (Vite, ESLint, Prettier, Vitest, Rollup, Turborepo) each with separate configs, version conflicts, and performance bottlenecks from duplicated parsing. Vite+ reality: Install one dependency. Everything works together seamlessly because it's built on a shared Rust foundation. Real-world wins: ✅ Framer: Already using VoidZero's stack in production ✅ Shopify, Linear, Atlassian: Early adopters ✅ 7× faster builds: One team went from 2.5min (Vite) to 22s (rolldown-vite) ✅ 100× faster linting: Oxlint processes 600+ ESLint-compatible rules at native speed The commercialization angle: 💰 Free for: Individuals, OSS projects, small businesses 💰 Paid for: Startups (flat rate), enterprises (custom pricing) 💰 Status: Source-available (not fully open source) Controversial? Yes. Necessary? Absolutely. Evan You's take: OSS sustainability requires capturing value at scale. Vite+ funds Vite, Vitest, Rolldown, and Oxc—all MIT-licensed forever. Tech specs: 🔧 Built on Rolldown (Rust bundler), Oxc (Rust parser/transformer) 🔧 Compatible with React, Vue, Svelte, TanStack Start, SvelteKit 🔧 Public preview: Early 2026 🔧 Current stack stays 100% open source This isn't just tooling consolidation—it's ecosystem evolution. JavaScript finally gets what Rust had with Cargo: one tool that just works. Compare to current reality: package.json with 15 dev dependencies, 3 config files, version conflicts, and "works on my machine" debugging. The future: Install vite+, run one command, ship code. That's it. Interested in early access? Visit viteplus.dev to join the preview waitlist 🔥 #Vite #JavaScript #VoidZero #Tooling #Rust #WebDev #OpenSource

🚀 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗺𝘆 𝗔𝗣𝗜 𝗰𝗮𝗹𝗹 𝘄𝗮𝗶𝘁? That’s a question every JavaScript learner faces at some point. You try this 👇 const data = fetch("https://lnkd.in/gGpgs-MU"); console.log(data); and get: Promise { <pending> } 😕 No data. No city name. Just… pending. Here’s why — JavaScript doesn’t stop and wait. It’s 𝗮𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 — meaning it moves on while your API call is still in progress. That’s where 𝗣𝗿𝗼𝗺𝗶𝘀𝗲𝘀 and 𝗔𝘀𝘆𝗻𝗰/𝗔𝘄𝗮𝗶𝘁 come in. They help your app “wait politely” for the data — without freezing everything else. 💡 In my latest beginner-friendly blog, I explain: - What Promises really are - How Async/Await makes async code readable - How to handle errors properly - And a mini project: Weather App with fetch() 📖 Read it here: 👉 https://lnkd.in/gBvD9DWD 🔗 Connect with me: 🌐 GitHub: https://lnkd.in/gE2g7ryy 💼 LinkedIn: https://lnkd.in/gx4HvWxF 💻 Dev.to: https://lnkd.in/g2ptGRBW 💬 What’s one JavaScript concept that confused you the most when you started learning? Let’s help each other out 👇 📢 Follow me for more beginner-friendly blogs, interview tips, and JavaScript explainers that actually make sense. #javascript #async #promises #react #frontend #webdevelopment #coding #programming #100daysofcode #learning #softwareengineering #beginners #devtips #developer #techcommunity

🧹 6 Things I Do to Keep My Code Clean Writing clean code isn’t just about style — it’s about clarity, maintainability, and performance. Over time, I’ve built a few habits that help me write code that’s easier to read, debug, and scale. Here are six things I do 👇 1️⃣ I Avoid Comments (Except When Truly Necessary) If your code needs comments to explain itself, it probably isn’t clear enough. Instead, I focus on good naming conventions — variables, methods, and functions should describe exactly what they do. If your names are descriptive, your code becomes self-documenting. 2️⃣ Fewer Lines, Better Logic If fewer lines of code can do the same thing — do it. Don’t reinvent the wheel — use existing packages or built-in utilities. Clean code is concise, not compressed. ✂️ 3️⃣ DRY — Don’t Repeat Yourself I’m religious about this one. If something appears more than once, abstract it and reuse it — even error messages! Consistency beats copy-paste every time. 4️⃣ Let SQL Do the Heavy Lifting Don’t fetch a ton of data only to filter and process it again in your code. Instead, leverage SQL — write expressive queries to get exactly what you need. ORMs are great — but sometimes raw SQL is cleaner and faster. ⚡ 5️⃣ Think in Components If you’re working in React, Flutter, or any component-based framework, design components thoughtfully — small, reusable, and focused. Clean components = scalable architecture. 🧩 6️⃣ Embrace Abstraction If your function is too long, break it down. Each function should do one thing — and do it well. Short, focused functions are easier to test and maintain. Clean code isn’t about perfection — it’s about communication. If your code reads like plain English, you’re already ahead. Because the best code isn’t just written — it’s understood. 🧠 Attached is doc with code examples #CleanCode #SoftwareEngineering #JavaScript #WebDevelopment #BestPractices #CodingTips #React #BackendDevelopment #CodeQuality