Frequently Asked Questions for AI Workbench Projects#
This section answers frequently asked questions about AI Workbench projects. Use these FAQs to quickly find answers about project management, multi-container environments, and IDE integration.
General Questions#
Can I Manage Projects Using the CLI?#
Yes. The CLI has feature parity with the Desktop App.
Why Would I Need a Multi-Container Environment?#
Multi-container environments are useful anytime you have different services or applications that are difficult or impossible to run in a single environment or container.
They’re also useful to maintain isolation and test interactions between different services. Some examples include:
If you are building a web app with a database.
If you want to use a full stack development environment.
If you want to do CI/CD pipeline testing locally.
VS Code Integration#
How do I get to the VS Code settings?#
File > Preferences > Settings opens the settings tab. You can use the search bar to find the settings you need.
Can I use other IDEs besides VS Code and JupyterLab?#
Yes. A Workbench project is a git repository of files, so you can use any IDE that you want.
However, for IDEs besides VS Code and JupyterLab, you must manually configure remote SSH connections and attaching to the project container
We will be expanding direct integration support. You can check status in the table of IDEs
Can I use the CLI to add and configure VS Code?#
Yes. The CLI has the same functionality as the Desktop App.
For more information about integrating VS Code with AI Workbench, see the Visual Studio Code Integration.