Databricks described controls for managing AI coding costs at scale, including limits, model routing, and workload governance.
New Runtime reading: Token spend is only an input metric. A useful operating model connects it to accepted changes, review time, rework, and the tasks that should receive expensive model capacity.
Evidence boundary: this item uses the listed public sources and keeps vendor, author, or reporter claims attributed. The queued page is an editorial synthesis, not an independent validation of every reported metric.