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academic/awesome-datascience
1.9%
of 103 commits were committed by an AI agent — a floor, not an estimate
1.9% agent · top contributor 50%2 contributors
individual

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

2
agent commits
101
human commits
2
agent contributors
50%
largest contributor

Assisted or autonomous

2assisted
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

Feb26
Mar26
Apr26
May26
Jun26
Jul26
Aug26
Sep26

Peak month: 6.7%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic11%
Cursor AgentAnysphere11%

Verify it yourself

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

  • 74576dc8Move Disco entry to end of listClaude Code
  • ee612b85Add BGPT MCP to Agents > Research & Knowledge RetrievalCursor Agent

What was excluded

Commits in window183
Merge commits removed80
CI / dependency bots removed0
Considered103

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 academic/awesome-datascience

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