Dashboard metrics and charts

Run kf dashboard and open http://localhost:8787. Change the port with --port. The dashboard refreshes every 5 seconds, has a manual refresh button and filters by context and by work item kind.

KPI

Metric How it is computed
Work items Every feature and bug matching the filter, dones included
In execution Items in implementation, testing or review
Backlog Items in backlog
Completed Items in dones; the rate is dones divided by total items minus cancelled ones
Cancelled Items in cancelled; shown so the gap in the completion rate’s denominator is visible
Gate bypasses Items carrying a recorded --force or --skip-hooks
Task progress Completed checkboxes divided by all checkboxes across the items in execution

With no items or no tasks to divide by, the figure shows as —. An item in execution with no task checkboxes is counted separately and never defaults to done. Task progress is not a test pass rate and not code coverage.

Charts

The charts show the filesystem as it is right now. The workflow keeps no history of stage transitions, so the dashboard infers no throughput, no lead time and no trend over time from these counts.

CLI and API

kf view prints the same summary in the terminal. kf view --json and /api/data return metrics, charts, availableContexts and stages, so existing agents and tools can still read it.

The API takes ?kind=feature|bug&context=<slug>. Drop a parameter to see everything. context=__none__ selects older items that carry no context. The context list behind the filter is always drawn from the whole project.

When the API fails, the dashboard says so and keeps the previous snapshot with a warning that the numbers may be stale. It never turns an error into a zero.