Debugging complex code can be an intimidating and time-consuming task, but it doesn’t have to be. With the right strategies, you can quickly identify and remedy issues in your code. In this article, we’ll cover some of the most effective techniques for debugging complex code including using print statements, breakpoints, test-driven development, refactoring for readability, utilizing debuggers and automated tools – plus more!
IoT devices have become ubiquitous. Given the number of new devices being deployed all over the world and far from the desks of developers, it is imperative to have a solid set of tools to manage them without being directly connected to them via JTAG, USB, or SSH. The necessary tasks in the IoT device lifecycle include device deployment and management, remote monitoring, and over-the-air (OTA) software updates.
A good developer knows how to debug code. In fact, most software engineers spend the majority of their time debugging existing code rather than writing new code. When it comes to native app development, debugging and tracking errors during development can be a tricky task. So, in this post, I’ll help you understand how you can debug your React Native applications and also track errors during app development.
Lua is one of the many great interpreters that can be run on embedded devices. It’s fast, uses little memory, is written in ANSI C, and is known by plenty of developers. These are a few of the many reasons why the team at Panic chose to include a Lua interpreter on their Playdate device and allow games to be written in it. You can think of Lua as an alternative to the MicroPython (Python) or JerryScript (Javascript) interpreters. However, there’s a problem.
JavaScript is one of the most widely used programming languages for creating dynamic, interactive websites. However, there may be instances where a function is not operating as intended because of a coding error while creating JavaScript projects. Therefore, the majority of developers hunt for JavaScript debugging tools to avoid problems and identify errors before execution.
