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GitHub Copilot API adds code review addressed rate
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Why it matters
- →Enables tracking of actual developer adoption of AI suggestions rather than just suggestion volume.
- →Provides data on review efficiency by counting PRs merged without subsequent human changes.
- →Allows analysis of which types of comments (bug, security, custom) are most frequently acted upon.
GitHub has updated its Copilot usage metrics API to include detailed data on code review interactions. The new fields track the number of evaluated comments that developers acted upon, broken down by severity, tier, and type, as well as the count of merged pull requests that received no human change requests after Copilot's initial review. These metrics are available in enterprise and organization-level reports for users with appropriate permissions. The update allows organizations to better assess the effectiveness of AI-assisted code reviews.
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- 1GitHub Copilot Enhances Code Review Automation
GitHub Changelog · September 11, 2026 · Same story
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- 2GitHub Copilot Code Review API and UI updates
GitHub Changelog · November 7, 2026 · Same story
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GitHub Copilot Code Review API and UI updates
GitHub is finally exposing Copilot code review configuration to the REST and GraphQL APIs, closing a major gap for enterprise automation. Administrators can now programmatically control review effort, enablement, and custom instructions across organizations and repositories, moving beyond manual web interface tweaks. The update also refines the user experience with compact overviews, explicit attribution of AI sources like MCP servers, and better handling of bot-authored PRs. This shift makes Copilot Review a first-class citizen in CI/CD pipelines rather than just a UI feature.
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