Pulse
2026-09-18-v3.0
Dataset
2026-10-27-catalog-ai-v2
Ruleset
b2e8889c66f7
Scanned
2026-10-27
Window
February–September 15, 2026
Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

Apache Beam is a unified programming model for Batch and Streaming data processing.

apache/beam ↗

apache/beam AI coding statistics: 4.9%

of 1,329 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
4.9% agent · top contributor 20%33 contributors
org-wide

Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.

65
agent commits
1,264
other considered commits
33
agent contributors
20%
largest contributor

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

65assisted
0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-027.7%143
2026-035.5%182
2026-042.4%170
2026-055.1%175
2026-065.6%197
2026-077.1%196
2026-082.2%180
2026-092.3%86

Peak month: 7.7%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Gemini CLIGoogle352.6%
Claude CodeAnthropic262%
Cursor AgentAnysphere30.2%
GitHub CopilotGitHub10.1%
OpenAI CodexOpenAI10.1%

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

  • 9c82e053 on GitHubAvoid output inside try-catch in Java IO (#39124)Gemini CLI
  • 5e499388 on GitHubKeyCommitTooLarge logging improvements (#39316)Gemini CLI
  • 55e1ecbb on GitHubAdd metric for Kafka offset commit failures (#38889)Gemini CLI
  • f5d35728 on GitHub[IcebergIO] Spec aware file reserialization (#39973)Claude Code
  • e9c37d53 on GitHubRefactor: delete dead SplitAndSizeRestrictions handling from FnApiDoFnRunnClaude Code
  • 34a00c77 on GitHubAddFiles: extract bounded async task plumbing and Parquet footer reads (#3Claude Code
  • bef9ef19 on GitHub[Python] Reuse Milvus client in RAG vector sink write path (#39378)Cursor Agent
  • 96733599 on GitHubFix JsonToRow swallowing downstream errors when runners fuse transforms. (Cursor Agent
  • 889ac54b on GitHubFix cancelled run handling in flaky test prefetcher (#38579)Cursor Agent
  • 44d4089a on GitHubPotential fix for environment variable built from user-controlled sources GitHub Copilot
  • 023ca6d9 on GitHub[Java] Cache DoFn invoker constructors per instance (#39310)OpenAI Codex

What entered the denominator

The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.

Exclusion ledger

Commits in window1,786
Merge commits removed−116
CI / dependency bots removed−341
Considered1,329

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Reproduce this observation

Run the same detector locally.

Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.

npx qmmit-cli apache/beam

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