Models & Labs
Copilot API Adds Review Metrics for AI Adoption
GitHub Changeloghigh confidence
Why it matters
- →New metrics provide insights into the efficiency of code reviews with AI adoption.
- →Helps organizations measure the impact of Copilot on engineering throughput.
- →Enables targeted improvements in review processes based on AI adoption phases.
GitHub has updated its Copilot usage metrics API to include new metrics that measure code review velocity. The API now reports the median time from pull request creation to first review and the median number of review cycles before merging. These metrics are available in enterprise and organization reports, providing insights into the impact of AI adoption on engineering throughput. By analyzing these metrics, organizations can assess whether deeper Copilot integration leads to more efficient review processes.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1GitHub API Adds Copilot Comment Type Metrics
GitHub Changelog · May 8, 2026 · Same story
- 2GitHub Copilot API Adds AI Adoption Cohorts
GitHub Changelog · May 29, 2026 · Same story
Follow this story
Open the full story →GitHub Copilot CLI Now Uses GITHUB_TOKEN
3 developments
- Jul 2 · GitHub Changelog
GitHub Copilot CLI Now Uses GITHUB_TOKEN - Jul 2 · GitHub Changelog
GitHub Copilot Enhances Usage Metrics Accuracy↳ Copilot CLI now reports suggested lines of code and IDE identification uses server-side telemetry for accurate credit attribution - Jul 8 · GitHub Changelog
Copilot API Adds Review Metrics for AI Adoption (This article)
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