Accessing dev environments with Cursor¶
Dev environments enable seamless provisioning of remote instances with the necessary GPU resources, automatic repository fetching, and streamlined access via SSH or a preferred desktop IDE.
Previously, support was limited to VS Code. However, as developers rely on a variety of desktop IDEs, we’ve expanded compatibility. With this update, dev environments now offer effortless access for users of Cursor .
To access a dev environment via Cursor, set the ide property in your configuration to cursor.
type: dev-environment
# The name is optional, if not specified, generated randomly
name: vscode
python: "3.11"
# Uncomment to use a custom Docker image
#image: dstackai/base:py3.13-0.7-cuda-12.1
ide: cursor
# Use either spot or on-demand instances
#spot_policy: auto
resources:
gpu: 24GB
Once you’ve configured the environment, invoke the dstack apply command.
When the dev environment is ready, dstack will provide a URL that you can click to open the environment in your desktop
Cursor IDE.
$ dstack apply -f examples/.dstack.yml
# BACKEND REGION RESOURCES SPOT PRICE
1 runpod CA-MTL-1 9xCPU, 48GB, A5000:24GB yes $0.11
2 runpod EU-SE-1 9xCPU, 43GB, A5000:24GB yes $0.11
3 gcp us-west4 4xCPU, 16GB, L4:24GB yes $0.21
Submit the run vscode? [y/n]: y
Launching `vscode`...
---> 100%
To open in Cursor, use this link:
cursor://vscode-remote/ssh-remote+vscode/workflow
Clicking the provided URL will prompt your desktop Cursor IDE to automatically connect to the remote machine via the SSH
tunnel created by the dstack apply command, allowing you to securely work with your dev environment.
Using Cursor over VS Code offers multiple benefits, particularly when it comes to integrated AI coding assistance and enhanced developer experience.