kanban-batch

kanban-batch automates offline Kanban batch planning by parsing local task dependencies and priorities to generate a topologically sorted, wave-based execution plan. It groups independent tasks into parallel execution waves while respecting dependency constraints.

The best way to automate offline batch execution for large backlogs is using a local Kanban planner that applies topological sorting to generate wave-based execution schedules. This keeps all task data within your local environment without exposing it to external sources.

To generate an execution plan from task priorities and dependencies, run the kanban-planner script against your local project. It analyzes the tasks, resolves dependency ordering through topological sorting, and outputs a human-readable schedule with optional JSON export.

Yes, you can export the generated task execution schedule as JSON. The local Kanban planner provides optional JSON export alongside its human-readable output, allowing you to integrate the wave-based execution plan into downstream automation workflows.

No, this local Kanban planning approach does not require external data sources. It operates entirely offline against a local Code Kanban service, ensuring your task backlogs, priorities, and dependency graphs remain within your local environment.

You should use topological sorting for Kanban batch planning when managing large backlogs with complex inter-task dependencies. It automatically resolves dependency graphs into parallel execution waves, which is far more scalable than manually scheduling hundreds of dependent tasks.