How Node.js Streams Can Simplify Your Code

Node.js Streams Explained What Moving the Pyramids Can Teach You About Node.js Streams 🏛️ Imagine you have a 3GB file that you need to upload/download using your Node.js server. How do you solve this task? Your first instinct as a Node.js developer might be to use an npm package. Sounds great to me! But what if I told you that while you're treating the file, you also need to add some business logic? Let's say, for example, the file is a CSV, and you need to keep certain lines and ignore others—while saving the ignored lines in a separate file. Can your npm package handle that? Probably. Is it easier, simpler, scalable? Probably yes. But now you need another package and more complex code in your codebase, which might affect performance. Now let's take a step back. Before downloading the package, did you ask yourself what technique the creators of these packages use under the hood? I'll answer that for you—it's most likely streams, and that's what we're going to talk about in this post. So buckle up, and let https://lnkd.in/gRjYzC_z

⚡ Backend Devs: Build APIs Faster with devkit-cli Generate FastAPI or Express APIs with CORS, JWT authentication, and support for SQLite, PostgreSQL, MySQL, or MongoDB—all in one command. devkit create --backend-only ✅ Production-ready structure ✅ Containerized with Docker/Podman ✅ Auto-configured .env files Try it: https://lnkd.in/ez7_DJ5M #DevkitCLI #BackendDevelopment #FastAPI #ExpressJS #SoftwareEngineering

Debugging Win: “Cannot POST /api/students/register” I unexpectedly spent hours debugging an Express.js API today. Everything looked fine — my routes, controllers, and MongoDB connection were solid — but I kept seeing this dreaded message: "Cannot POST /api/students/register" I checked my server, folder structure, imports, and still nothing. I was so much frustrated... Turns out, the issue wasn’t my code at all — it was how I was sending the request. I was trying to hit the endpoint from the browser (which defaults to a GET request), when the route expected a POST request. Once I switched to Postman and sent a proper POST with JSON data, boom! it worked instantly. This small debugging session reminded me: - Always double-check the HTTP method - Browsers = GET requests by default - Sometimes, the code isn’t broken — the request is Tech Stack: Node.js + Express MongoDB (Mongoose) REST API endpoints for a School Management System Feeling extra good after finally seeing that 201 Created response 😎 #Nodejs #Expressjs #MongoDB #BackendDevelopment #WebDevelopment #Debugging

📸 When "Add Profile Picture" Becomes a 4-Bug Hunt Week 6: "JWT authentication complete!" ✅ Week 7: "Let's add profile picture upload!" Reality: 6 days, 21 commits, 4 debugging sessions 😅 The Challenge: ✅ Backend works (API returns 200 OK) ✅ Database saves correctly ✅ File uploads to disk ❌ Picture still won't show The Hunt: Bug #1: Path mismatch → Backend: "/uploads/profiles/user.jpg" → Frontend: "profiles/user.jpg" Bug #2: No fetch on load → Added getCurrentProfilePicture() API Bug #3: Type mismatch → profilePictureUrl vs pictureUrl Bug #4: React state not syncing → useState doesn't update with prop changes → Fixed with useEffect What Shipped: 🎯 Drag-and-drop upload 🎯 JWT-protected endpoints 🎯 Auto-delete old files 🎯 Avatar fallback (user initials) 🎯 Client + server validation The Lesson? Backend working ≠ Feature working Full-stack = debugging ALL layers 🔍 Tech: Spring Boot + React + PostgreSQL 21 commits, 1 feature, 4 bugs squashed ✅ From Hello World to real features 🚀 Repository: https://lnkd.in/gDE8vmWA #FullStackDevelopment #SpringBoot #ReactJS #Debugging #LearningInPublic

🧩 The Building Blocks of Spring Boot — Essential Annotations ⚙️ In the last post, we saw how @SpringBootApplication magically bootstraps your app. Now, let’s zoom in on the annotations that give your Spring components life. 🚀 💡 The Core Trio: @Component, @Service, @Repository These are the heartbeats of the Spring ecosystem — each marks a class as a bean managed by the Spring container. But they’re not just labels — each has a purpose 👇 🧱 @Component – The Foundation Marks a class as a Spring-managed bean. It’s the most generic stereotype — you can use it anywhere when the class doesn’t fit a more specific role. ⚙️ @Service – The Business Brain Specialized version of @Component for service-layer logic. It’s where your business rules live. 🗃️ @Repository – The Data Whisperer Another @Component specialization for data access. Spring adds exception translation here — turning low-level database errors into clean Spring exceptions. 🧭 @RestController – The API Gateway Combines @Controller + @ResponseBody → automatically returns JSON or XML responses. ➡️ Every endpoint lives here — your bridge between frontend and backend. 🛣️ @PathVariable – The URL Decoder Binds parts of the URL path to your method parameters. 🧾 @RequestParam – The Query Detective Binds query parameters to method parameters. Spring Boot annotations are like superpowers — each one removes boilerplate and lets you focus on what matters: your logic There are lots of annotations where each one have a significant impact on where they are used. Checkout springs documentation to learn more about them. #Spring #Springboot #code #BackEndDevelopment #java #Annotations

I will review how to use JSONC to configure fastfetch in a future post. What is JSONC and is it any better than JSON? https://lnkd.in/e2wMkaZR

React cannot run scheduled tasks. React is front-end only. . . To run automatic background jobs, you need server-side cron jobs. So install cron library: >>npm install cron and create a server function outside react this function is in your own server (VPS, dedicated, or Docker, Inc). Your server stays online 24/7. How it works ? i create Node.js file outside React. This file contains code that will run every day. * 21 * * * => run at 21:00 every day. Inside the cron job logic: - check database for new clients - Send them a welcome message - Update their status - Log the result All of this is fully automatic. Why automatic tasks ? - save time, avoid mistakes (no human forgetting, no delays, no manual errors) - clients feel cared for (courses reminders, welcome messages, follow-up messages) - automation increase conversions (emind clients to finish subscriptions..) #Docker #VPS #Node

Found a simple but powerful optimization for large API responses in Django! While profiling some of our heavier endpoints, I came across the django-http-compression library — and the results were impressive: Here are a couple of examples (Brotli compression): --- /api/media_orders/ → 3679 media orders → Response size: 60.94 KB → 6.37 KB with compression (~10× smaller) --- /api/report_booked_media/ → Response size: 16.71 KB → 1.57 KB with compression --- /api/contracts/ → Response size: 237.23 KB → 11.46 KB with compression --- That’s a huge gain with minimal setup, plug it in and configure your middleware. Big thanks to Adam Johnson, who created and maintains this library 👏

🚀 Just a simple custom error class in Node.js for clean error handling - The Problem Most APIs just throw Error, and then every exception looks the same in logs and responses. This makes it hard to know what really failed: Was it validation? A missing resource? Or a database timeout? - Use a custom error class I define specific error types that describe the exact problem. It helps me: ✅ return consistent API responses ✅ simplify debugging ✅ log smarter - Example with Node.js + Express (see in the image) - Why it matters ✅ Clear error hierarchy → easier to debug ✅ Consistent API responses ✅ Better observability and logs ✅ Easier unit testing - What about you? Do you use custom error classes in your Node.js projects or just throw plain errors? 👇 #Nodejs #BackendDevelopment #ErrorHandling #CleanArchitecture #SoftwareEngineering #TypeScript