[Issue] Differentiate provisioned names for Azure AI Studio resources
- Dominant language
- Go
- Stars
- 569
- Forks
- 364
- Avg merge
- 2d 22h
- Merged PRs (30d)
- 139
Description
When you provision AI Studio resources, you see:
" (✓) Done: Machine Learning Workspace: ai-hub-g3yu232bwmaek (20.956s)
(✓) Done: Machine Learning Connection: ai-hub-g3yu232bwmaek/aoai-content-safety-connection (5.856s)
(✓) Done: Machine Learning Connection: ai-hub-g3yu232bwmaek/aoai-g3yu232bwmaek (6.423s)
(✓) Done: Machine Learning Workspace: ai-project-g3yu232bwmaek (17.212s)"
But that may confuse developers as they have very different names in the UI. Ideally azd could differentiate the names based on the "kind" of the resource.
Contributor guide
Research direction
Start by reproducing the Azure AI Studio provisioning output shown in the issue and trace where resource kinds are turned into displayed names. The work is done when Machine Learning Workspaces and Connections are visibly differentiated according to their kind rather than appearing as similarly named resources.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, go
- Domain
- cli, cloud
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100