AI CODING ANALYTICS

GitHub Copilot usage
metrics, per engineer.

GitHub's Copilot usage metrics dashboard shows 28-day trends for organizations and enterprises, and its APIs report down to each user. Zest adds each engineer's Copilot Chat sessions next to their Claude Code, Cursor and Codex work and the pull requests they merge.

Get started for free ↗

Free for 3 seats · No credit card

Zest lemon in its mech suit

01See your team’s AI stack

Winding / Teams Last 30 days

Zest

3 Members 1 Agent
Team overview
67%
AI Adoption▲ 34 pts
240
PRs Merged▲ 101
96.1h
Median AI Time▲ 9.5h
57.2h
Build Hours▲ 20.3h
This week
Member AI PRs/wk AI Task Plan Impl Last Standup AI Stack
22.8/wk28 min ago
15.8/wk12 min ago
4/wkAug 14
—2 hours ago
Current AI models & harnesses As of Sep 8
Claude CodeFable 5.1 (max) (with fallback)70.4 · Coding Agent Index
CodexGPT-6 Astra (max)67.0 · Coding Agent Index
Muse CodeMuse Spark 1.3 (xhigh)64.2 · Coding Agent Index
Grok BuildGrok 4.5 (high)64.1 · Coding Agent Index
Kimi Code CLIKimi K362.6 · Coding Agent Index
OpencodeGemini 3.8 Flash (high)61.2 · Coding Agent Index
Cursor CLIComposer 2.5 Fast38.3 · Coding Agent Index

Demo setups use current model families. The pairings above are the combinations benchmarked by Artificial Analysis; rankings measure performance, not popularity.

Intelligence Index

Illustrative daily trends · Other totals: last 30 days. Build Hours: this week, model-estimated activity including overlap; not engineer hours.

↓ Scroll to explore

USED BY ENGINEERING TEAMS AT

FlypsCharmWildfiresGeoforgeMisaLabs

What GitHub's Copilot usage metrics cover

For Copilot on its own, start with GitHub. Its Copilot usage metrics dashboard shows 28-day trends for enterprises and organizations, and its APIs report down to the repository and user level: daily and weekly active users, code completion acceptance rate, and an impact dashboard that connects adoption to pull request output.

Those metrics cover Copilot. A team that also runs Claude Code, Cursor or Codex gets one tool's view of a multi-tool habit, which is why Claude Code vs GitHub Copilot, Codex vs GitHub Copilot and Cursor vs GitHub Copilot are worth measuring on your own team.

How Zest measures GitHub Copilot usage

Zest answers the cross-tool question: which coding agent, model and skills each engineer reaches for, and which sessions turn into merged pull requests.

  • The Zest extension for VS Code reads Copilot Chat sessions: the conversation, the models used, and the skills and tools they called.
  • Inline completions are not captured. GitHub's own metrics stay the source for acceptance rates.
  • Claude Code, Codex, Cursor, Grok Build and Hermes report into the same dashboard, so usage is comparable across tools.

Copilot ROI: usage next to what ships

Judging Copilot's ROI starts with two things side by side: how each engineer uses it, and what they merged. The Zest GitHub App puts each engineer's Copilot Chat sessions next to their merged pull requests, and Zest reports PR cycle time too; which delivery numbers to trust is on developer productivity metrics.

TRY IT ON YOUR TEAM

See what your team ships with AI.

Starter is free (3 seats, no credit card). Pro is $49 a month with 5 seats and Max is $149 a month with 10 seats — priced per workspace, not per engineer, with extra seats at $19 a month.

A FEW THINGS TO KNOW

Questions

Where do I see GitHub Copilot usage metrics?+

GitHub provides a Copilot usage metrics dashboard and REST APIs for organization and enterprise admins. Zest adds Copilot Chat sessions per engineer next to Claude Code, Cursor and Codex, and what each engineer merged.

Does Zest capture Copilot inline completions?+

No. Zest reads Copilot Chat sessions in VS Code. For completion acceptance rates, use GitHub's Copilot usage metrics.

Can I see GitHub Copilot usage per engineer?+

GitHub's Copilot usage metrics APIs report down to the user level. Zest adds each engineer's Copilot Chat sessions, with their models, skills and tools.