Usage dashboards for AI coding engines have a credibility problem that has nothing to do with the numbers: they are sampled. A quota or battery reading exists for the moments the application happened to look, and the gaps between those moments have to be drawn somehow. Fuga's rewrite of one engine's usage trend section, landed in this window, answers that by making the drawing itself carry the provenance — every time bin in the chart is visibly marked as measured, interpolated or unmeasured.
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