Azure Pipelines for VS Code
Get it on the VS Code Marketplace!
This VS Code extension adds syntax highlighting and autocompletion for Azure Pipelines YAML to VS Code. It also helps you set up continuous build and deployment for Azure WebApps without leaving VS Code.
Basic YAML validation is built in to VS Code, but now you can have syntax highlighting that's aware of the Pipelines YAML schema. This means that you get red squigglies if you say tasks: where you meant task:. IntelliSense is also schema-aware. Wherever you are in the file, press Ctrl-Space to see what options you have at that point.
By default, the extension will highlight known Azure Pipelines files in the root of your workspace. You can change the language mode at the lower right to work with one file at a time. Click the language picker, then choose "Azure Pipelines". If you have files which should always use this extension, set your user or workspace settings to match those file paths with this extension. For example:
Out of the box, the extension has a generic schema file that includes only in-box tasks.
You probably have custom tasks installed in your organization.
To teach the extension about those, grab a copy of your schema and tell the extension where to find it.
https://dev.azure.com/YOU-ORG-HERE/_apis/distributedtask/yamlschema and save the output as
- Edit your workspace's
settings.json to include this:
- Restart VS Code.
The extension will now validate against your schema.
It'll give you autocompletes for your custom tasks.
Since this extension defines a new file type ("
azure-pipelines"), any YAML formatter you've installed no longer applies to pipelines documents.
Hat tip to @mgexm and @dotnetcanuck for sharing how they restored this functionality.
We'll demonstrate with the Prettier VS Code extension:
Add this to your
Both format on save and the
Format document command should now work!
To set up a pipeline, choose Azure Pipelines: Configure Pipeline from the command palette (Ctrl/Cmd + Shift + P) or right-click in the file explorer. The guided workflow will generate a starter YAML file defining the build and deploy process.
You can customize the pipeline using all the features offered by Azure Pipelines..
Once the setup is completed, an automatic CI/CD trigger will fire for every code push. To set this up, the extension will ask for a GitHub PAT with repo and admin:repo_hook scope.
VS Code collects usage data and sends it to Microsoft to help improve our products and services. Read our privacy statement to learn more. If you don’t wish to send usage data to Microsoft, you can set the
telemetry.enableTelemetry setting to
false. Learn more in our FAQ.
Selected workspace is not a Git repository: You can configure a pipeline for a Git repository backed by GitHub or Azure Repos. Initialize your workspace as a Git repo, commit your files, and add a remote to GitHub or Azure Repos. Run the following commands to configure git repository:
git add *
git commit -m <commit-message>
git remote add <remote-name> <remote-url>
The current branch doesn't have a tracking branch, and the selected repository has no remotes: You can configure a pipeline for a Git repository backed by GitHub or Azure Repos. To add a new remote Git repository, run
git remote add <remote-name> <remote-url>
Failed to determine Azure Repo details from remote url: If you're configuring a pipeline for a Git repository backed by Azure Repos, ensure that it has a remote pointing to a valid Azure Repos Git repo URL.
If you are only working on the extension (i.e. syntax highlighting, configure pipeline, and the language client):
npm install to install all necessary dependencies
npm run watch to automatically rebuild the extension whenever you make changes
- Run the "Extension" debug configuration to launch a VS Code window using your modified version of the extension
If you are also working on the language server:
- Follow the first two steps above
- Clone the azure-pipelines-language-server repository alongside this repository
npm link ../azure-pipelines-language-server/language-server
- Follow the instructions in the language server README to link the language service to the language server
- Add the
azure-pipelines-language-server folder to your VS Code workspace
- Run the "Launch Extension & Attach to Server" debug configuration
- Note: In order to attach to the server, the extension must be activated (in other words, make sure you are editing an Azure Pipelines file)
- In case the attach request timeouts before the server can start, wait for it to start and then run the "Attach to Server" debug configuration
See CONTRIBUTING.md if you want to jump in!