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.

🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 840+ cases traced to original posts, 490+ cross-model retest runs, 27 copy-ready templates, 80+ installable AI-video Skills. Synced daily from goodcase.ai. EN / 中文 / 日本語.

01Result

LearnPrompt/awesome-seedance ↗

LearnPrompt/awesome-seedance AI coding statistics: 62.1%

of 29 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 29 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
62.1% agent · top contributor 94.4%2 contributors
individual

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

18
agent commits
11
other considered commits
2
agent contributors
94.4%
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

18assisted
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
2026-08100%4
2026-0956%25

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

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic1862.1%

03Evidence

Inspect the matches

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

Matched commit samples

  • a0b1fb18 on GitHubchore: 待办清单全清——互链、每日刷新、投稿校验流程、Skill 0.2.0Claude Code
  • 674dccb1 on GitHubfix(readme): 清掉遗留三项——awesome-lint 规则、复现率口径、横幅日期时区Claude Code
  • ba6a0f59 on GitHubfeat(readme): 二次人工验收的 9 条修改——Skill 数、站点全量、12 格总览、复测画面、系列折叠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 window41
Merge commits removed−7
CI / dependency bots removed−5
Considered29

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 →JavaScript AI coding statisticsCompare evidence across JavaScript 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 LearnPrompt/awesome-seedance

Scan another repository

Try