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Archive: 2026 - GitHub Changelog

MAI-Code-1-Flash for Copilot Business and Copilot Enterprise - GitHub Changelog GitHub Desktop 3.6: Worktrees and deeper Copilot integration - GitHub Changelog Copilot code review: Analysis depth and efficiency updates - GitHub Changelog Enterprise-managed settings now support strictKnownMarketplaces in VS Code and GitHub Copilot CLI - GitHub Changelog Saved views for repository issues - Public Preview and adjustable row heights in projects - GitHub Changelog More control over your GitHub-hosted runners - GitHub Changelog Actions steps can now be run in parallel - GitHub Changelog npm adds preventive account protection for high-impact accounts - GitHub Changelog Red Hat Enterprise Linux runner images are now in public preview - GitHub Changelog GitHub Copilot for Jira is now generally available - GitHub Changelog Cost centers now support enterprise teams - GitHub Changelog Self-service credential revocation for incident response - GitHub Changelog Changes to model selection for Free and Student plans - GitHub Changelog Secret scanning adds extended metadata for Replicate secrets - GitHub Changelog Fetch Code Quality findings via REST API - GitHub Changelog Automatic Dependabot access to GitHub-hosted registries - GitHub Changelog Copilot CLI: New terminal interface is generally available - GitHub Changelog Deprecation of Python 3.9 for Dependabot - GitHub Changelog GitHub Copilot app support for BYOK - GitHub Changelog New features and Claude as agent provider preview in JetBrains IDEs - GitHub Changelog AI credits consumed per user now in the Copilot usage metrics API - GitHub Changelog Upcoming deprecation of Opus 4.6 (fast) - GitHub Changelog MAI-Code-1-Flash available on more Copilot surfaces - GitHub Changelog Copilot code review: AGENTS.md support and UI improvements - GitHub Changelog Detecting Duplicate Issues - Public Preview and issue fields MCP support for GitHub Issues - GitHub Changelog Copilot-authored pull requests now included in author searches - GitHub Changelog Repository switcher generally available in global navigation - GitHub Changelog Actions: Build custom images from custom images - GitHub Changelog Safer pull_request_target defaults for GitHub Actions checkout - GitHub Changelog Control who and what triggers GitHub Actions workflows - GitHub Changelog
Copilot usage metrics now include more of your active use...
Allison · 2026-06-16 · via Archive: 2026 - GitHub Changelog

Copilot usage metrics reports now draw on server-side telemetry in addition to client signals, so more of your active Copilot users show up in reports. Enterprise usage reports returned by the Copilot usage metrics API now surface active users that client-side telemetry alone would have missed, giving you a more complete and consistent picture of who is using Copilot.

What’s new

Copilot usage reports have historically been built from client-side telemetry emitted by IDEs and other clients. That telemetry is the richest source we have, but it does not always reach us. Network conditions, proxy configurations, client settings, and other factors outside of your control or ours can prevent a client from reporting activity. When that happened, an active, billed user could be absent from your reports.

This update incorporates additional server-side telemetry to identify active users. Any active user we can confirm from the server side who was not already captured from client telemetry is now included in your enterprise single-day and 28-day reports, increasing your daily active user (DAU) coverage.

These newly surfaced users are fully identified and counted toward your active user totals. What server-side telemetry does not yet carry is the rich, per-interaction detail that client telemetry provides (i.e., the specific IDE, feature, model, and lines-of-code activity). So for these users, the high-level counts go up while the detailed breakdowns stay empty until richer telemetry is available for them.

What you’ll see in a typical report

Suppose an enterprise single-day report previously showed 1,000 daily active users, all sourced from client telemetry. With this change, that same report might now show 1,050. The extra 50 are users we confirmed were active from server-side telemetry but never received client telemetry for.

In practice, your active user and DAU counts immediately become more complete, while the dimensional breakdowns (such as totals_by_ide and totals_by_feature) won’t yet reflect these users, so a larger share of activity may appear unattributed. Top-level totals and breakdowns for your existing users are unchanged.

This is the first step in a broader effort to bring server-side signals into Copilot metrics. Users surfaced from server-side telemetry are now included, and upcoming releases will progressively attribute richer per-feature and per-surface detail to them, filling in those empty breakdowns over time.

Why this matters

  • More consistency across your data: Usage reports line up more closely with what you see in the activity log and billing, reducing the gaps that drive support escalations about “missing” users.
  • Resilient by design: Combining server-side and client-side signals means a single client-side hiccup no longer erases a user from your reports.

Visit our API documentation to learn more.

Join the discussion within GitHub Community.