Docker extension for VS Code.

2 years after

Docker Support for Visual Studio Code

The Docker extension makes it easy to build and deploy containerized applications from Visual Studio Code.

  • Automatic dockerfile and docker-compose.yml file generation
  • Syntax highlighting and hover tips for docker-compose.yml and dockerfile files
  • Snippets for dockerfile files
  • IntelliSense (completions) on image names from Dockerhub.com
  • Linting (errors and warnings) for dockerfile files
  • Command Palette (F1) integration for the most common Docker commands (e.g. Build, Push)
  • Deploy images to the cloud by running the Azure CLI in a container

Generating Dockerfile, docker-compose.yml, and docker-compose.debug.yml


IntelliSense (completions) for Dockerfile and docker-compose.yml files, including listing images from Dockerhub.com.


Docker commands

Many of the most common Docker and docker-compose commands are built right into the Command Palette (F1).


Dockerfile linting

You can enable linting of Dockerfile files through the docker.enableLinting setting (CMD+, on MacOS, or Ctrl+, on Windows and Linux). The extension uses the awesome dockerfile_lint rules based linter to analyze the Dockerfile. You can provide your own customized rules file by setting the docker.linterRuleFile setting. You can find more information on how to create rules files as well as sample rules files in the dockerfile_lint project.


Azure CLI

Microsoft ships the latest Azure CLI as a Docker image. You can easily launch a container running the CLI from the Command Palette (press F1 and search for Docker: Azure CLI). The extension will then run an interactive terminal attached to the container.

After the container is started, you will be prompted to login to your Azure account. From there, set the subscription you want to work with using az account set (you can see all of your subscriptions with az account list). You do not need to login in every time you run the container becasue the extension volume mounts the local $HOME/.azure folder to the container's $HOME/.azure folder.

If you do not have an Azure subscription, sign up today for a free 30 day account and get $200 in Azure Credits to try out any combination of Azure services.


In VS Code, press F1 and type in ext install vscode-docker. Once the extension is installed you will be prompted to restart Visual Studio Code which will only take (literally) a couple of seconds.

Of course, you will want to have Docker installed on your computer in order to run commands from the Command Palette (F1, type in Docker).

Running commands on Linux

By default, Docker runs as the root user, requiring other users to access it with sudo. This extension does not assume root access, so you will need to create a Unix group called docker and add users to it. Instructions can be found here: Create a Docker group

Connecting to docker-machine

The default connection of the extension is to connect to the local docker daemon. You can connect to a docker-machine instance if you launch Visual Studio Code and have the DOCKER_HOST environment variable set to a valid host.


There are a couple of ways you can contribute to this repo:

  • Ideas, feature requests and bugs: We are open to all ideas and we want to get rid of bugs! Use the Issues section to either report a new issue, provide your ideas or contribute to existing threads
  • Documentation: Found a typo or strangely worded sentences? Submit a PR!
  • Code: Contribute bug fixes, features or design changes.


Before we can accept your pull request you will need to sign a Contribution License Agreement. All you need to do is to submit a pull request, then the PR will get appropriately labelled (e.g. cla-required, cla-norequired, cla-signed, cla-already-signed). If you already signed the agreement we will continue with reviewing the PR, otherwise system will tell you how you can sign the CLA. Once you sign the CLA all future PR's will be labeled as cla-signed.


This extension collects telemetry data to help us build a better experience for building micro-service applications with Docker and VS Code. We only collect data on which commands are executed. We do not collect any information about image names, paths, etc. The extension respects the telemetry.enableTelemetry setting which you can learn more about in our FAQ.



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