team-spec-archive

You can archive completed requirement workspaces by moving specific requirement slugs from the active directory to an archive directory. This preserves all related artifacts in an organized manner for future reference while freeing up active workspace resources.

You should move paused, abandoned, or completed requirement workspaces to an archive directory during the software lifecycle to manage resources. Archiving ensures that requirement artifacts are safely preserved for future reference instead of cluttering the active workspace.

Yes, Python scripting capabilities are required to organize and move requirement workspace files. The archiving process operates on specific requirement slugs within the team-spec directory structure using Python scripts to relocate artifacts.

Yes, you can preserve requirement artifacts for future reference by moving the workspace to an archive directory instead of deleting it. This ensures all related artifacts remain safely stored and organized for later access.

The best way to manage the software lifecycle of requirement directories is archiving completed workspaces by moving specific requirement slugs from active to archive directories. This approach maintains organized artifact preservation and optimizes active workspace resources.