pm-next

Automated task selection identifies the highest-priority work item based on readiness and dependencies, then scaffolds and implements it. You simply instruct the AI to pick up work, and it handles the entire execution workflow autonomously.

Yes, autonomous mode allows an AI coding agent to execute a series of tasks without intervention until all work is done. It automatically selects tasks, writes code, runs tests, commits changes, and updates the project management API.

Automated scaffolding creates the necessary work packages for issues or feature requests that lack them. This happens automatically during the task selection process, ensuring the AI agent has the required structure before implementation begins.

Task prioritization focuses on blockers and ready-to-implement items first. The system evaluates various entity types including Work Packages, Issues, and Feature Requests to select the most impactful work item based on priority and dependencies.

End-to-end implementation manages the complete execution of tasks, code changes, testing, and committing. By integrating with project management APIs for state updates, it streamlines the entire development workflow from selection to completion.

Yes, autonomous execution runs without user intervention until all work is done or an unresolvable issue occurs. This ensures the AI agent stops appropriately when encountering problems it cannot solve, preventing incorrect implementations.