API Framework Comparison: Express.js vs FastAPI

I have made this routing mistake more than once. Declaring routes in the wrong order and wondering why the correct handler was never reached - no error, just silent wrong behaviour while another route quietly handles the request instead. Turns out the answer is different depending on which framework you're in. Here's what I found across the 6 frameworks I have worked with: FastAPI, Django, Laravel, ASP.NET Core, ExpressJS, and NestJS. Swipe 👉 --- How does your framework handle this - and has it ever caught you off guard? 🤔 #BackendDevelopment #WebDevelopment #SoftwareEngineering #DotNet #Python #JavaScript #NodeJS #NestJS #FastAPI #Django #Laravel #AspNetCore #API #Backend #CodeTips #TechTips #Developer

Is JavaScript really an interpreted language? JavaScript is often described as an interpreted language but modern JS engines like V8 actually compile before executing it. To answer this question, I created blog that explains the following:  1) What is Compiler, interpreter and JIT Compiler 2) Understanding the behavior of JavaScript 3) Background of JS Engine 4) How JS engine utilize JIT Compilation Read here 👇 https://lnkd.in/dj4ecJA4 #javascript #webdev #softwareengineering #programming

👉 Read the full article here: https://lnkd.in/dPBDH8fZ 🚀 New Article Published: Array Flatten in JavaScript Understanding how to work with nested arrays is an important skill for every JavaScript developer. In this article, I explained: • What nested arrays are • Why flattening arrays is useful • The concept of array flattening • Different approaches (built-in methods, recursion, loops) • Common interview scenarios I also included step-by-step explanations and visual thinking to make the concept easy to understand. This topic really helped me improve my problem-solving mindset while working with real-world data structures. Big thanks to Hitesh Choudhary Sir, Piyush Garg Sir and Chai Aur Code for continuous learning and guidance 🙌 #JavaScript #WebDevelopment #Coding #LearningInPublic #Developers #Frontend #100DaysOfCode

🧠 JavaScript Module Question for Developers While building my own small utility library, I came across this interesting pattern in ES modules. Consider this structure: src/ ├ array/ │ ├ chunk.ts │ └ index.ts └ index.ts Inside array/index.ts: export * from "./chunk" Inside src/index.ts: export * from "./array" Now a developer imports the function like this: import { chunk } from "tiny-utils" ❓ Question: From which file is the chunk function actually executed? A) src/index.ts B) array/index.ts C) chunk.ts Drop your answer in the comments 👇 and explain why. This pattern is widely used in libraries to create clean APIs and is often called a barrel export pattern. #javascript #typescript #webdevelopment #nodejs #programming #softwareengineering #devcommunity #coding #frontenddevelopment #backenddevelopment

📊 TypeScript just officially overtook Python as the most used language on GitHub. The State of JavaScript 2025 survey dropped — and the numbers tell a more interesting story than that headline.   40% of JavaScript developers now write exclusively in TypeScript — up from 34% last year and 28% in 2022. That's not a trend anymore. That's a generational shift in how JavaScript teams think about code quality.   But the headline stat isn't the most important finding. Here's what actually matters:   **Node.js now runs TypeScript natively.** No build step. No `ts-node`. Just `node your-file.ts`. The type stripping feature became stable in Node 25 — meaning TypeScript is becoming a first-class runtime citizen, not just a compile-time layer.   **React Compiler 1.0 shipped in October 2025.** Meta's internal results: 12% faster initial page loads, 2.5x faster interactions. The days of manually writing `useMemo` and `useCallback` everywhere are ending — the compiler handles memoization automatically.   **AI is now baked into the JS ecosystem.** The Vercel AI SDK became the most downloaded TypeScript AI framework, with streaming-first primitives built for React Server Components and edge runtimes. The question for frontend teams is no longer "how do we add AI" — it's "which primitives do we build on."   The JavaScript ecosystem got a reputation for moving too fast. In 2026, it's maturing — TypeScript as the baseline, compilers doing the heavy lifting, and AI as a native concern from day one.   Where is your team on the TypeScript adoption curve? 👇 Source(s): https://lnkd.in/dSVRFvnt https://lnkd.in/dxH42ENZ https://lnkd.in/d3RBBszP   #TypeScript #JavaScript #React #NodeJS #WebDevelopment #FrontendEngineering #SoftwareEngineering

Prototypes in JavaScript (The Secret Behind Everything) JavaScript doesn’t use classical inheritance like Java or C++ 👉 It uses Prototypal Inheritance --- 💡 Every object in JS has a hidden link: "[[Prototype]]" --- ⚡ Example: const animal = { speak() { console.log("Animal speaks"); } }; const dog = Object.create(animal); dog.speak(); // 🐶 Animal speaks --- 🤯 What just happened? - "dog" does NOT have "speak()" - JavaScript looks into its prototype - Finds it in "animal" 👉 This is called the Prototype Chain --- 🧩 Real Magic: [].map === Array.prototype.map // true 👉 That’s why arrays have methods like "map", "filter", etc. --- ⚠️ Important: dog.__proto__ === animal // true But avoid using "__proto__" directly Use "Object.getPrototypeOf()" --- 🚀 Why this matters: - Foundation of JS inheritance - Helps understand classes under the hood - Makes debugging easier --- Reference from 👉 Sheryians Coding School #javascript #webdevelopment #frontend #programming #coding

To understand the depth of Rust, you must look at how it manages memory at the hardware level. In JavaScript, every object is a heavy structure stored in the heap memory, requiring a Garbage Collector to constantly scan and clean it up. Rust replaces this with a much faster system that separates data from behavior. You define your data using an Enum, which is stored directly on the stack for instant access. You then use an impl block to define the logic separately. This means the computer only loads the instructions when they are specifically called, rather than carrying a bulky object around in the RAM at all times. When you write an implementation for fmt::Display, you are fulfilling a Trait. In systems programming, a Trait is a strict professional contract. The Display trait is a set of rules from the standard library that tells the compiler exactly how your data should be translated into text. Because this is a Compile Time guarantee, the Rust compiler checks every detail before the program even runs. If your function does not match the required signature perfectly, the code will not compile. This eliminates the common runtime errors and crashes found in higher level languages like JavaScript. The power of this system lies in the function arguments &self and &mut f. These are not just variables they are instructions for the Borrow Checker, which is the heart of Rust safety. The &self parameter is an Immutable Borrow, meaning you are looking at the data exactly where it lives in memory without making a copy. The f parameter is the Formatter, a specialized tool that streams text to the output. By using &mut, you are taking a Mutable Borrow, which gives you exclusive temporary permission to change the formatter. Rust laws forbid any other part of the program from touching that formatter while you are writing to it, which prevents memory corruption and data races. Finally, the function returns a fmt::Result. While JavaScript might allow a print command to fail silently, Rust requires a status report for every low level action. The Formatter does not build a giant string in the heap; instead, it performs String Streaming, pushing characters one by one to the destination. This is incredibly efficient because it uses almost zero extra RAM regardless of how large the message is. By returning a Result, the program knows immediately if the hardware successfully processed the output. This combination of zero cost abstractions and total memory control is why Rust can perform at the speed of C while remaining completely safe.

New blog alert! 📦➡️🔥 Just published: "Array Flatten in JavaScript" – tackling nested arrays w/ native flat(), reduce, & spread. Nailed it thanks to Hitesh Choudhary sir's tips! Perfect for interviews or untangling data messes. What's your fave flatten trick? https://lnkd.in/dcCcAG9W Piyush Garg | Akash Kadlag | Suraj Kumar Jha | Shubham Waje | Jay Kadlag #chaicode #JavaScript #WebDev #100DaysOfCode #ArrayFlatten #JS Tips #Coding #Programming #Hashnode #TechBlog #LearnJavaScript

I’m building Djule, a new templating engine for Django. The idea is simple: keep Django server-rendered, keep TypeScript for client-side behavior, but make HTML more modular and expressive with Python-based components. Instead of pushing UI composition into React-style JSX, Djule explores reusable HTML components, request-time props from Django, and Python logic close to the markup. Right now I’m comparing 2 syntax directions: 1. Keep logic above the returned markup for cleaner templates 2. Allow logic directly inside the markup for tighter UI-flow readability TypeScript still stays in the stack for browser behavior, interactivity, routing, and lazy loading. The experiment is really about improving the HTML/template layer, not replacing frontend code entirely. I’d love input from Django and frontend developers: Which direction feels more maintainable for real projects, logic-before-markup or logic-inside-markup? #Django #Python #TypeScript #WebDevelopment #Frontend #Templating #DeveloperExperience #OpenSource

Recommendation for Your Next Skill to Unlock: Quarto + Observable JS 🔓 As you may know, I'm passionate about Quarto and have a background in R and Python. Recently, I discovered that Observable JS (OJS) is a powerful language, natively supported in Quarto, and it can upgrade your Quarto builds. The elephant in the room: JavaScript can be daunting for analysts who started with statistics, data querying, and data visualization. However, learning OJS feels more approachable—possibly because it's still data-centric. For those who love free tools: If, like me, you use static hosting such as GitHub Pages or quarto.pub, OJS is for you! I used to think streaming real-time data on a static Quarto page was impossible—until I started exploring OJS. Browser interaction: OJS enables browser interactions that I've found hard to achieve with R and Python. In three weeks, I found two ways to leverage browser data for tasks I couldn’t accomplish otherwise. Bonus: You can perform data preparation in R or Python, then convert your objects into OJS for interactive visualization. Getting started: If OJS or JavaScript are new to you, start by reviewing the Quarto and ObservableHQ documentation. If you’re new to JavaScript, check out this introduction before programming: https://lnkd.in/eMGW6cKg. If you've avoided OJS or weren't aware of it, I hope this post inspires you to explore how it can enhance your projects. Share your OJS experiences in the comments! #data #quarto #ojs #js #r #python #posit #datavisualization #dataanalysis #dashboard #programming #work #skills