Simplify Node.js API Development with mimi.js

I removed Express from my Node.js project. Then removed the http module too. Built everything from raw TCP and finally understood what was actually happening. Three things that clicked: → request.body is a stream, not a property Node reads your request in chunks. That’s why even very large uploads don’t crash your server. → GET, POST, and PUT are not interchangeable Send the same POST twice, two records get created. Send PUT twice, nothing changes. That difference has a name: idempotency. → Postman is just a GUI Every button maps to three things: method, headers, and body. Wrote a 4-part breakdown. #NodeJS #JavaScript #BackendDevelopment #medium Read the full article here: https://lnkd.in/dWQRp7Ta

Count the lines of React 18 code you write for every single form submission: const [isPending, setIsPending] = useState(false) const [error, setError] = useState(null) async function handleSubmit(e) {  e.preventDefault()  setIsPending(true)  try { await save() } catch(e) { setError(e.message) }  finally { setIsPending(false) } } Now count the React 19 version: const [state, formAction, isPending] = useActionState(saveAction, null) One line. Same behavior. Automatic pending state, error handling, and reset. That's what React 19 is: the same React, with the boilerplate removed. Here's everything that changed: ⚡ Actions + useActionState — async mutations without manual loading state 🌐 Server Actions — call server functions from client components. No custom API routes. Just 'use server'. 🪜 Server Components — render on server, ship zero JS. Default in Next.js 15. ❤️🔥 useOptimistic — instant UI updates before the server responds. Auto-rollback on failure. ⚙️ use() hook — unwrap promises and read context inside loops, conditions, early returns. 🏠 Native metadata — <title> and <meta> tags from any component. No react-helmet. ❌ No more forwardRef — ref is just a prop in React 19. forwardRef deprecated. 🔍 Better hydration errors — actual diffs instead of "tree will be regenerated". 🤖 React Compiler — automatic memoization at build time. No more useMemo busywork. I wrote the complete guide — every new API with real before/after examples, Server Actions deep dive, and the React 18 → 19 migration steps. Still on React 18? 👇 #React #JavaScript #Frontend #WebDev #ReactJS #100DaysOfBlogging

I kept rebuilding the same Node.js backend setup for every project — so I decided to automate it. Instead of doing it again, I built a CLI tool to solve it. It creates a Node.js backend in seconds — with Express, MongoDB, and a clean structure ready to go. Command: npx create-temaplate-backend project-name --- 🔗 npm: https://lnkd.in/ehY8UjQv 💻 GitHub: https://lnkd.in/euy3SshN --- Still improving it step by step. If you’ve built backend projects before, what features would you expect in a tool like this? #nodejs #javascript #developers #learninginpublic

Node.js developers, ever hit a memory wall when handling large files or processing extensive datasets? If you're buffering entire files into memory before processing them, you might be overlooking one of Node.js's most powerful features: the Stream API. Instead of loading a multi-gigabyte file into RAM (which can quickly exhaust server resources), `fs.createReadStream()` and `fs.createWriteStream()` enable you to process data in small, manageable chunks. This elegant approach allows you to pipe data directly from source to destination, drastically reducing memory footprint and improving application responsiveness. It's a true game-changer for I/O-intensive tasks like real-time log aggregation, video transcoding, or large CSV imports. Building scalable and robust applications relies heavily on efficient resource management, and Streams are a cornerstone of that in Node.js. What are some creative ways you've leveraged Node.js Streams to optimize your applications and avoid memory bottlenecks? Share your insights! #Nodejs #BackendDevelopment #WebDevelopment #PerformanceOptimization #JavaScript #StreamsAPI #DeveloperTips References: Node.js Stream API Documentation - https://lnkd.in/geSRS4_u Working with streams in Node.js: A complete guide - https://lnkd.in/gZjN7eG8

🚀 Building a production-style backend, not a tutorial project. With 2 years of experience in backend development, I realized I had never built a personal project at all, yes, I do have the ones from my studies but nothing that reflects how I really work. This is why I decided to work on an inventory-api, REST API with Node.js, TypeScript, and Express Already running against a real MySQL database. Key highlights: ⚙️ Scalable architecture Route → Controller → Service → Repository Designed for maintainability and growth. 🔐 Production-like auth flow JWT, bcrypt hashing, protected routes. 📐 No duplication between validation & types Zod as a single source of truth. 🧪 Integration tests that matter (no mocks) → 201 success → 400 validation errors → 409 conflicts → 404 after soft delete What I care about as a backend developer: Not just what works, but why it's built this way. - Soft delete → preserves data & auditability. - app.ts vs server.ts → enables proper testing. - Zod → runtime guarantees, not just TypeScript types. Next steps: 🐳 Docker ✅ Full test coverage ⚡ CI pipeline 🔗 https://lnkd.in/ejeUDCBK #BackendDevelopment #NodeJS #TypeScript #SoftwareEngineering #BuildInPublic

I really started off thinking I should go with HTMX or Angular, but honestly, I missed writing React. It has been months since I started a React project. For the backend, I wanted to try something different than Express. Express isn't really being maintained anymore, and the only backends I have running in production for my projects are in Golang. So I wanted to try something with Node, specifically Node backend with SQL, because the only combo I have ever used since college is Express with Mongo. Fastify seemed familiar enough while still having new concepts worth exploring. I did go through the plugins system and turns out, everything in Fastify is a plugin. Your routes? A plugin. Your database connection? A plugin. And obviously, you can add custom plugins too. The general pattern is simple: create a plugin and register it with the Fastify instance. There is also an interesting scoping mechanism. For example, Service A in your codebase will have a scoped Fastify instance that is completely separate from Service B, unless you explicitly make something available at the global level, like your database client.

Why my API was slow (and what actually fixed it) I recently noticed one of my APIs was taking way too long to respond — sometimes 3–4 seconds per request. At first, I thought it was just my code being “messy,” but digging deeper taught me a lot. Here’s what I found: Too many unnecessary DB calls – I was fetching the same data multiple times instead of reusing it. Unoptimized queries – Some queries were scanning entire collections instead of using indexes. Synchronous loops – I was waiting for each call to finish one by one, instead of running them in parallel. After making a few changes: Added proper indexes Used Promise.all for parallel DB calls Cached repeated data where possible Response time went from 3–4 seconds → under 300ms. The biggest takeaway? Sometimes it’s not your code logic, it’s how your code talks to the database and handles tasks. Small adjustments can make a huge difference. #FullStackDeveloper #WebDevelopment #APIDevelopment #BackendDevelopment #NestJS #NextJS #JavaScript #PerformanceOptimization #SoftwareDevelopment

4 hours of debugging. Zero lines of "my" code changed. 🙃 We’ve all been there: An integration that has been rock-solid for months suddenly breaks. The clients are frustrated, the manager is asking for answers, and you’re staring at a log file that says… absolutely nothing. No errors. No warnings. After a deep-dive investigation, I found the culprit: The third-party service changed their response/request format without a single update to their documentation. The fix? I had to "blindly" map a new parameter from their response back into the request body. Suddenly, everything clicked. My takeaways: Logs aren't everything: Sometimes the "silent" changes are the deadliest. Docs are a contract: If you change the API, update the docs. Period. Have you ever lost a half-day to a "ghost" change in a third-party API? Let's commiserate in the comments. 👇 #SoftwareEngineering #API #WebDevelopment #Debugging #Backend #TechLife #php #laravel #symfony

Just built a small task manager using Node.js & Express 😄 ✨ Add multiple tasks at once 🛠️ Update tasks easily 🎯 Mark tasks complete/incomplete ✔️❌ 🗑️ Delete tasks 📦 Store data using a JSON file (no database) 📚 What I learned: 🌐 How REST APIs work ⚡ Creating routes & handling requests 🧠 Managing data in a simple backend setup 🌍 Live Demo: https://lnkd.in/gjhGrnVr 👨💻 GitHub Repo: https://lnkd.in/gBpbVFVN Overall, a great hands-on way to understand how real-world apps function behind the scenes ⚙️ Mentor: Harsh tripathi Mirai School of Technology Aditya Prasad #NodeJS #ExpressJS #RESTAPI #LearningByDoing #WebDevelopment #JavaScript 🚀 #MiraiSchoolOfTechnology

Claude Code Leak. I've been wrapping my head around something that confused me for a while as a developer. Earlier I used to create frontends with plain HTML/CSS/JS, make changes and directly push to prod. And it works. But a couple of weeks back when I moved to Vue.js, suddenly I had to run npm run build, zip the folder, upload it, unzip it... and I never fully understood WHY. I just did it for the sake of it, honestly. So today I went deep on it. Turns out the browser can't understand .vue single file components natively. So Vue needs a build step to compile everything into plain JS/CSS/HTML the browser can actually read. That led me to source maps — .map files generated during build that act as a translation dictionary between your minified production code and your original source. They're meant for internal debugging only. And then literally while I was learning this... The Anthropic Claude Code source map leak happened. 512,000 lines of proprietary TypeScript. Exposed. Because a single line was missing from .npmignore. Bun (which Claude Code is built on) generates source maps by default. No one added *.map to .npmignore. The .map file shipped with the npm package. Someone downloaded it, found a link to a zip archive on Anthropic's own cloud storage, and within hours the entire codebase was mirrored across GitHub. I was literally learning what source maps were TODAY when the news broke. So what can we learn From the Anthropic leak hopefully : A $19B company's proprietary codebase was exposed because of one missing line in a config file. No hacker, no sophisticated attack. Just *.map missing from .npmignore The small boring stuff — config files, .gitignore, .npmignore — matters as much as the fancy architecture Security is only as strong as your weakest release checklist item Owning our toolchain doesn't mean we understand it fully. Anthropic literally owned Bun, the runtime that had the bug that caused the leak. Sometimes the best way to learn is when theory and reality collide at the exact same moment.