
AI Backlog Grooming: Keep the Backlog Clean Continuously
AI backlog grooming keeps cards fresh by detecting duplicates, stale work, weak descriptions, missing context, and risk before planning starts.
Project management is shifting from tracking work to piloting it: keeping context, documentation, automation, and increasingly AI agents aligned around the same delivery system — not just keeping a board up to date.
The guides in this hub cover that shift end to end: sprint planning, kanban and scrum in the AI era, knowledge management for dev teams, and what changes when agents join the workflow.