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.

ModSecurity is an open source, cross platform web application firewall (WAF) engine for Apache, IIS and Nginx. It has a robust event-based programming language which provides protection from a range of attacks against web applications and allows for HTTP traffic monitoring, logging and real-time analysis.

01Result

owasp-modsecurity/ModSecurity ↗

owasp-modsecurity/ModSecurity AI coding statistics: 6.8%

of 162 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

6.8% agent · top contributor 36.4%5 contributors

team

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

agent commits

151

other considered commits

agent contributors

36.4%

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

9assisted

2autonomous

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

Peak month: 28.6%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
GitHub Copilot	GitHub	7	4.3%
Claude Code	Anthropic	4	2.5%

03Evidence

Inspect the matches

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

Matched commit samples

1595c33f on GitHubExplain test in subjectGitHub Copilot
cce33c64 on GitHubCosmetic fix - remove extra spaceGitHub Copilot
91bd3759 on GitHubci: pin Windows job to windows-2022GitHub Copilot
77be8039 on GitHubfix(v3): generate the entity table from the WHATWG specClaude Code
08d0afc0 on GitHubUse JSON regression test with a build-gated resource instead of a standaloClaude Code
d595832f on GitHubAddress Copilot review feedback on PR #3600Claude Code

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 window	211
Merge commits removed	−49
CI / dependency bots removed	−0
Considered	162

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 →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →C++ AI coding statisticsCompare evidence across C++ 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 owasp-modsecurity/ModSecurity

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	4.2%	24
2026-03	5.9%	34
2026-04	0%	43
2026-05	0%	7
2026-06	28.6%	14
2026-07	20%	15
2026-08	5.6%	18
2026-09	0%	7