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Developing in WSL - Visual Studio Code All other communication between the server and the VS Code client is accomplished through an random local TCP port You can find a list of locations VS Code itself needs access to in the network connections article
Developing with Remote Tunnels - Visual Studio Code The Visual Studio Code Remote - Tunnels extension lets you connect to a remote machine, like a desktop PC or virtual machine (VM), via a secure tunnel You can connect to that machine from a VS Code client anywhere, without the requirement of SSH Tunneling securely transmits data from one network to another via Microsoft dev tunnels
Remote Development FAQ - Visual Studio Code Visual Studio Code Remote Development allows your local VS Code installation to transparently interact with source code and runtime environments on other machines (whether virtual or physical) by moving the execution of certain commands to a "remote server"
Remote Development Tips and Tricks - Visual Studio Code By default, the server listens to localhost on a random TCP port that is then forwarded to your local machine If you are connecting to a Linux or macOS host, you can switch to using Unix sockets that are locked down to a particular user
Port Forwarding - Visual Studio Code Support for port forwarding is built into Visual Studio Code via Microsoft dev tunnels, no extension required When running a local web service, you can use the Ports view to make the service accessible to others over the internet First, you need to have a service you want to forward
Remote development in WSL - Visual Studio Code In a remote Linux environment (this WSL distro is technically another machine without UI, that just happens to be running locally on your computer), your development tools and experiences are pretty limited You can run Vim in the terminal to edit your file, or you can edit the sources on the Windows side through the \\wsl$ mount:
Python environments in VS Code To create local environments in VS Code using virtual environments or Anaconda, you can follow these steps: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), search for the Python: Create Environment command, and select it The command presents a list of environment types: Venv or Conda
Testing - Visual Studio Code In this article, you'll learn how to start with testing in VS Code, find popular testing extensions, and explore the testing features You'll also learn how Copilot in VS Code can help you write tests faster and can assist you in fixing failing tests
Dev Containers FAQ - Visual Studio Code VS Code Server runs on a random port inside the container and VS Code itself uses docker exec to communicate with it over Docker's configured communication channel As an extension author, what do I need to do to make sure my extension works?