- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Interactive course teaching Product Managers how to use Claude Code effectively
01Result
carlvellotti/free-ai-courses ↗carlvellotti/free-ai-courses AI coding statistics: 96.8%
A small group is using agents. Adoption has spread beyond one person but is not project-wide.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
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
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-02 | 100% | 14 |
| 2026-03 | 100% | 10 |
| 2026-04 | 100% | 5 |
| 2026-05 | 100% | 8 |
| 2026-06 | 95% | 20 |
| 2026-07 | 94.1% | 34 |
| 2026-08 | 100% | 2 |
Peak month: 100%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 89 | 95.7% |
| Cursor Agent | Anysphere | 1 | 1.1% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
45328639on GitHubRemove GitHub Actions @claude workflow — no Actions anywhereClaude Code990914c3on GitHubccforpms landing: pricing detail + Windows Git prerequisite (Aug 2026 fresClaude Code632e1525on GitHubRepo front page: welcome banner + one-prompt CLI flow (course asks, agent Claude Code013fd7c6on GitHubTune Codex course lessons for desktop playtestsCursor 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 window | 107 |
| Merge commits removed | −14 |
| CI / dependency bots removed | −0 |
| Considered | 93 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
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 carlvellotti/free-ai-courses