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harvard-edge/cs249r_book
0.7%
of 9,337 commits were committed by an AI agent — a floor, not an estimate
0.7% agent · top contributor 96.7%3 contributors
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

61
agent commits
9,276
human commits
3
agent contributors
96.7%
largest contributor

Assisted or autonomous

61assisted
0autonomous

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

Jan26
Feb26
Mar26
Apr26
May26
Jun26
Jul26
Aug26
Sep26

Peak month: 2.3%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic610.7%

Verify it yourself

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

  • 6c0e02beFix invalid escape sequences in book tooling scriptsClaude Code
  • a49db096chore(tinytorch): gitignore the submission files module 20 writesClaude Code
  • ed131f20chore(tinytorch): add the release check, and fix what it foundClaude Code

What was excluded

Commits in window11,502
Merge commits removed1,547
CI / dependency bots removed618
Considered9,337

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 harvard-edge/cs249r_book

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