There’s no doubt which programming language is winning the battle for global supremacy right now. JavaScript has powered past the 12 million developers mark, and 5 million of its loyal fans (some 40%) have come aboard within the last three years. Initially thought of as merely a Java spin-out, it is now used to power everything from machine learning libraries to space exploration robots. But to truly maximize the potential of JavaScript, developers have to implement an effective testing regime.

Let’s talk about SPAs. It all starts from a blank page which is subsequently filled with HTML and JavaScript. If we take PHP pages as an example, they already come bundled with the server, which is an advantage in terms of performance, right? For situations like these, server-side rendering frameworks (such as Next.js) come to the rescue. They process the code on the server-side to pre-fill the HTML result page with something (if not the whole page) before it reaches the browser.

As developers, we’ve traditionally rooted out errors in our programs (we’ll call them bugs from now on if that’s ok) by using meaningful log statements. JavaScript has the famous console.log() method for that. But while log statements are good, they are less efficient than a tool that enables you to carry out step-by-step debugging. So in this article, we will learn how to use Google Chrome developer tools (also known as DevTools) to debug any JavaScript application effortlessly.

The year 2015 was marked by a new paradigm shift in web development. Google introduced Progressive Web Applications and JavaScript libraries and frameworks, such as React.js, Angular.js or Vue.js, created new development methodologies. By 2020, the web environment is flooded with PWAs based on reactive programming and built with cutting-edge frameworks.

Garbage collection (GC) is a very important process for all programming languages, whether it’s done manually (in low-level languages like C), or automatically. The curious thing is that most of us barely stop to think about how JavaScript — which is a programming language, and hence, needs to GC — does the trick. Like the majority of high-level languages, JavaScript allocates its objects and values to memory and releases them when they’re no longer needed. But, how?

Javascript is a funny language. It claims to be (and very much is) a single-threaded language (i.e., it executes statements in order, one at a time, one after another, in a synchronous fashion). Despite just having the one native thread to work with, it somehow allows you to write concurrent, asynchronous code that is non-blocking in nature.

Here we try to explain how to solve any bug or error that your App created with Angular may have and that may be affecting your users without them or yourself knowing it. For this we will use a remote debugger and logging for Angular using the Bugfender library.

By combining custom errors, named functions and Bugfender, you can create a robust error-handling process that allows you to immediately identify the defects of your JavaScript apps. Unhandled JavaScript errors will stop the execution of your script, leaving the application in an undesired state – or, even worse, in an unknown state. So you need a robust error-handling process to avoid unknown errors in your apps. But, why are errors thrown anyway?

While developing Kraken’s frontend I quickly stumbled upon performance issues with Angular Material tree when too many nodes where opened. Kraken is an open source load testing IDE. As such, it displays a tree of directories and files used to script the load testing scenarios: You can have a look by creating a free account on the demo or check the source code of the UI on GitHub. It uses the latest version of Angular and components provided by Angular Material such as the tree.

Have you ever found yourself copy-pasting the same bits of JavaScript code between different projects? Well, when this situation happens two or three times in a row, it’s usually a good indicator that you have a piece of code that is useful and reusable. So, if you are already reusing your code across several different projects, why not go the extra mile and convert it into a library that allows you to optimize this code-sharing?