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microsoft/ai-agents-for-beginners
24.2%
of 331 commits were committed by an AI agent — a floor, not an estimate
24.2% agent · top contributor 58.8%9 contributors
team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

80
agent commits
251
human commits
9
agent contributors
58.8%
largest contributor

Assisted or autonomous

33assisted
47autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. The agent ran git commit during a working session, with a person there. Autonomous — a bot identity is the author, no human in the loop. Across the whole index, 93.7% of agent commits are assisted.

Agent share by month

Feb26
Mar26
Apr26
May26
Jun26
Jul26
Aug26

Peak month: 69.6%. Bars are scaled to that peak, not to 100%.

Which agents

GitHub CopilotGitHub7422.4%
Claude CodeAnthropic61.8%

Verify it yourself

Sample commits that matched. Every one links to GitHub — check the trailers.

  • 342a0b0aFix concurrent workflow review feedbackGitHub Copilot
  • 39f1ae56fix: mirror concurrent aggregation fix in lesson 08 notebookGitHub Copilot
  • c106b1ccUse StringBuilder for streamed message aggregationGitHub Copilot
  • de8a3476Align envelope with the lesson's receipt shape; fold follow-on into LessonClaude Code
  • 7c3e7367Shared envelope + verify_chain per review: stale-authority and digest-subsClaude Code
  • 09ce7e26Fix fail-closed gaps: wrong-length signature and non-dict payload now refuClaude Code

What was excluded

Commits in window1,005
Merge commits removed284
CI / dependency bots removed390
Considered331

Bots are excluded from the denominator entirely. Counting dependabot as “AI-written code” is the fastest way to produce a meaningless number.

How this was measured

Measured over February–August 2026, cloned directly. Detection is deterministic string matching against signatures agents write about themselves — no heuristics, no style analysis. Merge commits and CI bots are excluded from the denominator. The figure is a floor: squash merges strip trailers, so real usage is higher. Contributor counts are aggregate — no individual is named.

Run it yourself: npx qmmit-cli microsoft/ai-agents-for-beginners

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