With the code-server workbench image, you can customize your code-server environment by using extensions to add new languages, themes, and debuggers, and to connect to additional services. You can also enhance the efficiency of your data science work with extensions for syntax highlighting, auto-indentation, and bracket matching.
For details about the third-party extensions that you can install with code-server, see the Open VSX Registry.
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You are logged in to {productname-long}.
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You have created a data science project that has a code-server workbench.
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From the {productname-short} dashboard, click Data Science Projects.
The Data Science Projects page opens.
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Click the name of the project containing the code-server workbench you want to start.
A project details page opens.
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Click the Workbenches tab.
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If the status of the workbench that you want to use is Running, skip to the next step.
If the status of the workbench is Stopped, in the Status column for the workbench, click Start.
The Status column changes from Stopped to Starting when the workbench server is starting, and then to Running when the workbench has successfully started.
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Click the Open link next to the workbench.
The code-server window opens.
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Search for the name of the extension you want to install.
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Click Install to add the extension to your code-server environment.
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In the Browser - Installed list on the Extensions panel, confirm that the extension you installed is listed.