As a developer, it’s important to always look for cutting-edge tools, tricks, and extensions. Here are seven tools to help you increase your productivity.
Join the DZone community and get the full member experience. As a developer, you’re always looking for cutting-edge tools, tricks, and extensions to improve your productivity and efficiency. Being able to manage your time better is a valuable skill for software engineers. Therefore, here’s a list of Visual Studio Code extensions that help frontend developers (and more!) to increase their productivity by at least 10 to 20%. Let’s start with Sourcery! Sourcery is a valuable tool for Python developers who want to improve their coding style. Sourcery is like a personal assistant that gives coding tips on the fly. It will show you how to write better, cleaner Python code by offering refactoring suggestions. The extension runs in the background and will highlight snippets of code that can be improved by underlying them in blue. Here’s an example created by Sourcery that shows how you can refactor a complex if-else statement. Again, this extension also comes with a pro version that offers more functionality like checking for duplicate code sections. It’s an excellent extension for developers looking to improve their coding style with real-time code suggestions. Stepsize is an issue tracker inside your editor for managing technical debt and maintenance issues. When you come across technical debt that should be fixed but you don’t have time to fix it right away, you can bookmark a piece of code or create an issue. Stepsize allows you to: Here’s how you can bookmark the code and create an issue: It’s a great tool for teams who want to make technical debt visible and start reducing it. Many developers have probably already heard about Quokka.js, which serves as a quick playground for prototyping code. As a developer, I often ended up in a situation where I wanted to test a complex code snippet by prototyping it in a separate file to get more visibility into the inputs and outputs of what I had developed. That meant I had to create a new file, write the code, and execute it each time I made changes.
