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vlang/v
2%
of 3,122 commits were committed by an AI agent — a floor, not an estimate
2% agent · top contributor 59%4 contributors
team

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

61
agent commits
3,061
human commits
4
agent contributors
59%
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

Feb26
Mar26
Apr26
May26
Jun26
Jul26
Aug26
Sep26

Peak month: 7.9%. Bars are scaled to that peak, not to 100%.

Which agents

Claude CodeAnthropic601.9%
GitHub CopilotGitHub10%

Verify it yourself

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

  • 8a92bea2ast, cgen: use AArch64 register names for `asm arm64` (#28375)Claude Code
  • db7eb725fasthttp, v3: fix the two `-cstrict` build errors (#28376)Claude Code
  • c4084c76tests: check AVX-512 mask asm by codegen instead of assembling it (#28373)Claude Code
  • a1690ef5net.vschannel: chunk large TLS payloads to fix 16KB EncryptMessage crash oGitHub Copilot

What was excluded

Commits in window3,160
Merge commits removed1
CI / dependency bots removed37
Considered3,122

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 vlang/v

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