Cost of selective data fetch in cloud storage hinges on code revisions.

In my last post I argued for resolving before you fetch: use the doc manifest to figure out which 50 files matter before you pull 200,000. That solves the obvious waste. But once we put it into production across dozens of large repos — working closely with the Azure DevOps and content-version provid