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Use cases

Retire tables and models that nothing queries

Pipelines and warehouse|The work pauses for the plan, and the review bar is raised so that smaller suggestions also block the merge, not only serious findings.

Warehouse objects nothing has queried in a quarter, removed on the evidence of the query log.

The ticket

Remove warehouse tables and models that nothing has queried, backed by the query log.

Acceptance criteria

  • Query-log evidence covering at least a quarter is attached
  • Downstream dependencies are checked, not just direct queries
  • Objects are deprecated before deletion, with a stated window
  • Storage and compute savings are recorded

What lands as proof

Query-log evidence over a full quarter, which is the only defensible basis for dropping a table.

Why teams defer it

  • Somebody might be querying it from a notebook nobody knows about, and that fear alone stops the work.
  • Quarterly reporting means a quarter of silence is not proof, which pushes the safe window out further.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: remove warehouse tables and models that nothing has queried, backed by the query log. Work that serves that outcome is in scope, and anything outside it is left for a separate ticket, so the pull request stays reviewable.
How do I know the work is done?
The pull request carries the evidence, not only the diff. Here that means query-log evidence attached before anything is dropped, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
The run stops for the plan, and the review bar is raised afterwards so that smaller suggestions block the merge too, not only serious findings.

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