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.

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

01Result

uber/ADR ↗

uber/ADR AI coding statistics: 14.1%

of 71 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 71 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
14.1% agent · top contributor 50%5 contributors
team

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

10
agent commits
61
other considered commits
5
agent contributors
50%
largest contributor

02Drivers

What shapes this result

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

Assisted or autonomous

10assisted
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
2026-050%3
2026-070%18
2026-0825.7%35
2026-096.7%15

Peak month: 25.7%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic811.3%
Cursor AgentAnysphere22.8%

03Evidence

Inspect the matches

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

Matched commit samples

  • c925a5b7 on GitHubfeat(detection): add content_localization_service tag-block benchmark fixtClaude Code
  • d63df4d0 on GitHubfeat(detection): add deterministic hidden-Unicode-obfuscation detection toClaude Code
  • 945aab0c on GitHubfix(detection): preserve raw codepoints in tool-result extraction (#47)Claude Code
  • 8f83e9a9 on GitHubdocs: fix broken markdown around AgentDojo ground_truth.json (#29)Cursor Agent
  • 7d7faf91 on GitHubdocs: fix grammar and punctuation in CONTRIBUTING.md (#22)Cursor Agent

04Method

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 window87
Merge commits removed−0
CI / dependency bots removed−16
Considered71

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

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →Cursor Agent commitsBrowse repositories with detected Cursor Agent signatures →Python AI coding statisticsCompare evidence across Python repositories →GitHub AI commit analyzerInspect another repository with the same evidence model →
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 uber/ADR

Scan another repository

Try