Quick Start
How Labels Work
Labels are color-coded tags you attach to issues for easy categorization and filtering.Label Management
| Action | Description |
|---|---|
| Create | Define workspace-wide labels with colors |
| Tag | Attach labels to issues |
| Filter | Find issues by label |
| Remove | Untag labels from issues |
Tag an Issue
- curl
- Python
List Issue Labels
- curl
- Python
How Dependencies Work
Dependencies link issues to show relationships and execution order.Dependency Types
| Type | Description | Use Case |
|---|---|---|
blocks | Must finish before dependent can start | Sequential work |
related | Connected but not blocking | Context sharing |
duplicates | Same work, different issues | Issue cleanup |
View Dependencies
- curl
- Python
Putting It Together
Organize a complete workflow using labels and dependencies.Example: Backend Feature Pipeline
- curl
- Python
Best Practices
Use Consistent Label Names
Use Consistent Label Names
Create standard labels like “bug”, “feature”, “urgent” that team members recognize. Avoid duplicate labels with similar meanings.
Color Code by Priority
Color Code by Priority
Use red for urgent issues, blue for features, green for improvements. Consistent colors help visual scanning.
Plan Dependencies Early
Plan Dependencies Early
Map blocking relationships before starting work. This prevents bottlenecks and clarifies execution order.
Review Dependencies Regularly
Review Dependencies Regularly
Check if blocking issues are resolved and update dependency status. Remove outdated links to keep the graph clean.
Related
Platform Issues
Create and manage issues in your workspace
Issue IDs
Understanding issue identification and references

