Skip to main content

AI Usage > Suggestions rejected

Written by Tom Williams

Dataset: AI Usage

Entity: AI Usage Measurement

Field ID: suggestions_rejected

Type: Number

Description: The number of AI suggestions that were explicitly rejected.

Not available yet. GitHub Copilot does not publish this measurement, so it is empty on every record you can query today. It is populated by Anthropic Claude and Cursor, which are coming soon.

Source: App

Transformation logic: N/A

App Mapping

GitHub Copilot

N/A

Anthropic Claude (coming soon)

the sum of rejected actions across all editing tools

Cursor (coming soon)

totalRejects

OpenAI Platform (coming soon)

N/A

OpenAI Codex (coming soon)

N/A

Reporting Use Cases

The Suggestions rejected field counts explicit rejections, as opposed to suggestions that were simply ignored.

  • Acceptance rate where no offered count exists: For Anthropic records, compute acceptance as SUM(suggestions_accepted) / (SUM(suggestions_accepted) + SUM(suggestions_rejected)).

  • Quality signal by model: A rejection rate that rises after a model change is a concrete signal worth acting on.

  • Rejected is not ignored: Only explicit rejections are counted. Suggestions that were never acted on appear in neither this field nor the accepted count.

Did this answer your question?