JavaScript

One of the key challenges in building efficient React applications falls on managing state updates effectively. This is typically the largest problem that occurs when a React application grows in size and complexity. In this post, I’ll explore how incorrectly managed state updates can lead to performance issues and how to mitigate these problems using popular state management libraries and techniques. When you look at a typical React application (not a static website) you will often find that the depth of the component tree can grow very large. A tree with many nested components is the first and most probable cause of performance issues. If any component high up in the tree updates its state every component below it in the tree will re-render as well. If your application performs a lot of operations when a component renders or is re-rendered this can lead to a very sluggish user experience with a single page change causing multiple seconds of lag. ...

I’ve been working with JavaScript and its ecosystem for several years now, primarily focusing on web development with libraries like React and experimenting with different runtime environments like Node.js and Bun. Recently, I decided to expand my programming skills by learning Go (Golang), a statically typed, compiled language known for its simplicity and performance. Why Go? Given my interest in web development and developing efficient backend services, Go seemed like a natural choice coming from JavaScript. I first considered learning Go after seeing that Microsoft was porting the TypeScript compiler to Go. There are many different projects in the JavaScript ecosystem that use a faster compiled language for the massive performance improvements. For example, the Deno JavaScript runtime is built using Rust and the Bun runtime uses Zig. Coming from languages like JavaScript and TypeScript I was curious to see how Go handled concurrency and multithreading, as these are areas where JavaScript often meets limitations. ...