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.

A tool for automating cracking methodologies through Hashcat from the TrustedSec team.

01Result

trustedsec/hate_crack ↗

trustedsec/hate_crack AI coding statistics: 58.2%

of 796 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

58.2% agent · top contributor 92.4%3 contributors

individual

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

463

agent commits

333

other considered commits

agent contributors

92.4%

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

453assisted

10autonomous

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

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	453	56.9%
GitHub Copilot	GitHub	10	1.3%

03Evidence

Inspect the matches

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

Matched commit samples

0ffc9f84 on GitHubdocs(changelog): cut 2.36.2 for the nightly-dev batchClaude Code
feb0aa92 on GitHubfix(update): stop blocking auto-upgrade on untracked filesClaude Code
2a571dc5 on GitHubchore(ci): bump softprops/action-gh-release from 3.0.2 to 3.0.3Claude Code
54bd5b3c on GitHubPin uv to version 0.9.28 to mitigate supply-chain riskGitHub Copilot
229caa09 on GitHubCheck return code and log stderr on cleanup failureGitHub Copilot
c00d2574 on GitHubImprove error logging in Docker image cleanupGitHub Copilot

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	941
Merge commits removed	−125
CI / dependency bots removed	−20
Considered	796

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 →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 trustedsec/hate_crack

Scan another repository

Try

Month	Agent share	Considered commits
2026-01	0%	11
2026-02	50.6%	154
2026-03	0%	90
2026-04	91.5%	59
2026-05	58.3%	36
2026-06	100%	7
2026-07	81.2%	229
2026-08	54%	198
2026-09	83.3%	12