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GitHub Copilot usage metrics

Track how your teams are using and adopting GitHub Copilot with detailed usage metrics.

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Measure success

Communicate the impact of GitHub Copilot

Support renewal, rollout, and training decisions with a clear account of Copilot usage, costs, and engineering outcomes.

Reconcile and validate metrics

Coverage and requirements for Copilot usage metrics

Check which activity Copilot usage metrics include and which IDE versions are required for detailed reporting.

Understand available data

Data available in Copilot usage metrics

Copilot usage metrics data is available through the dashboard and APIs, using a consistent set of fields to represent adoption, usage, and code generation activity.

Understand available data

Example schema for Copilot usage metrics

See an example schema of the data returned by the Copilot usage metrics API.

Get started with metrics

GitHub Copilot usage metrics

Understand how your teams adopt Copilot and where enablement can help them get more value from AI-assisted development.

Understand metrics

Industry comparisons for Copilot usage metrics

Understand how Copilot industry comparisons calculate peer benchmarks and protect participant data.

Understand metrics

Interpreting usage and adoption metrics for GitHub Copilot

Copilot usage and adoption metrics reveal patterns in how developers engage with Copilot across your enterprise.

Understand metrics

Lines of Code metrics

Lines of Code metrics provide a directional measure of Copilot output by quantifying the lines of code suggested, added, or deleted across completions, chat, and agent features.

Measure success

Measuring the success of a GitHub Copilot trial

Measure the success of a Copilot trial by analyzing adoption, engagement, and early usage patterns using Copilot usage metrics.

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