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.

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01Result

enjoy-digital/litex ↗

enjoy-digital/litex AI coding statistics: 16.5%

of 935 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
16.5% agent · top contributor 97.4%2 contributors
individual

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

154
agent commits
781
other considered commits
2
agent contributors
97.4%
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

154assisted
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
2026-0214.3%28
2026-030%97
2026-0469.9%123
2026-050%251
2026-0626.3%240
2026-070%88
2026-085.3%19
2026-090%89

Peak month: 69.9%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic15416.5%

03Evidence

Inspect the matches

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

Matched commit samples

  • 6c793c27 on GitHubcpu/vexiiriscv: implement flush_cpu_dcache() via Zicbom CBO sweepClaude Code
  • 2816cca5 on GitHubremote/etherbone: store base_ret_addr in EtherboneReads.decodeClaude Code
  • ff6c6429 on GitHubtest/test_xilinx_f4pga: update to match corrected F4PGA backend behavior.Claude 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 window1,101
Merge commits removed−166
CI / dependency bots removed−0
Considered935

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 →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 enjoy-digital/litex

Scan another repository

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