Complete Guide to Debugging Web and Console Applications in VS Code on Linux

If you're a programmer, you know there's nothing more frustrating than a bug that just won't go away. To solve this, Visual Studio Code has become the go-to tool because it's lightweight, free, and, above all, works flawlessly on any operating system, including popular Linux distributions like Ubuntu and Kubuntu.

In this sense, mastering debugging isn't just about setting a breakpoint, but about building an efficient workflow ecosystem . Whether you're wrestling with a console application or deploying a complex web service, having a well-tuned environment will save you hours of headaches and allow you to progress much faster.

How to install VS Code on Linux without complications

Before we get into the nitty-gritty of debugging, we need to have the editor installed. On Ubuntu and derivatives, the easiest way is to download the .deb package from the official websiteOnce you have the file, you can install it by opening the terminal and running a command like sudo apt install ./nombre-del-paquete.debIf you prefer to avoid manual downloads, the Snap Store It's a very convenient alternative to install it with just a couple of clicks.

For those of you who prefer the "hardcore" style via console, you can configure the manually Microsoft repositoriesThis involves importing the GPG key and adding the repository to your sources list so that, when you do a apt updateThe editor will update automatically along with the rest of the system. In distributions like Kubuntu, which use KDE, the process is identical, even though the graphical interface changes.

The art of depuration step by step

The true power of VS Code lies in its ability to pause code execution. To do this, you first need to set breakpoints by clicking to the left of the line number. This tells the program, "Hey, stop here; I want to see what's happening."

When you launch the debugger with the F5 key, you can inspect the value of the variables in real time, allowing you to pinpoint exactly where the logic breaks down. For languages ​​like Go, it's essential to install the official extension and run the command. Go: Install/Update tools so that all analysis and debugging tools function properly.

Debugging console and web applications

When working with console applications in .NET environments, an interesting challenge arises. If you use Visual Studio on Windows but your app runs on Linux, the magic of WSL2 (Windows Subsystem for Linux) It allows you to debug directly without leaving your main system. A vital detail here is that, to pass parameters to the executable, you must edit the file launchSettings.json and add the property "commandLineArgs" pointing to the .dll filebecause in .NET the .exe is just a launcher and what is actually debugged is the DLL assembly.

For web applications, the workflow is similar but more network-oriented. VS Code allows you to connect to remote servers via SSH , meaning you can edit and debug code residing on a cloud server as if it were on your own laptop. This, combined with tools like the Debugger for Chrome , makes finding errors in the frontend or backend a much easier task.

Essential extensions to boost workflow

For smooth debugging and development, you need to fine-tune your editor. If you program in Python, installing Pylance and the Python extension is essential for intelligent autocompletion and static type checking, which prevents errors even before you run your program. For web development, Live Server is a lifesaver, as it automatically refreshes the browser when you save changes.

• Overall Productivity: Prettier to make the code look polished and GitLens to know exactly who broke which line of code.
• JavaScript and TypeScript: ESLint to detect syntax errors on the fly and Quokka.js to execute pieces of code in real time without launching the entire app.
• AI and Automation: GitHub Copilot or Tabnine, which act as a copilot by suggesting complete lines of code based on context.

Management of modern environments and deployments

Modern web development is inconceivable without Docker and Kubernetes. VS Code offers extensions that allow you to manage containers and microservices without having to type every command in the terminal. This is especially useful when debugging web applications that depend on a specific database or a complex network configuration that only exists within a container.

Likewise, for those who work with data, Jupyter's notebook integration allows you to mix documentation and executable code, facilitating step-by-step debugging of data analysis algorithms. If you work with web frameworks like Django or Flask, there are specific snippets that accelerate the creation of routes and models, reducing the amount of repetitive code you have to write.

Having Visual Studio Code configured on Linux, supported by AI extensions, remote debugging tools, and proper release file management, transforms the programming experience. From installation via .deb packages to using WSL2 to bridge Windows and Linux, the ecosystem makes it easy to analyze, debug, and optimize both console applications and the most complex web services.