- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
01Result
DataTalksClub/llm-zoomcamp ↗DataTalksClub/llm-zoomcamp AI coding statistics: 0.8%
One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.
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 |
|---|---|---|
| 2026-04 | 0% | 8 |
| 2026-05 | 0% | 89 |
| 2026-06 | 3.8% | 78 |
| 2026-07 | 0% | 37 |
| 2026-08 | 0% | 6 |
| 2026-09 | 0% | 176 |
Peak month: 3.8%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 3 | 0.8% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
e0b98dd2on GitHubPolish module 1 and 2 lessons: warm voice, fold in workshop reasoningClaude Codee91408baon GitHubPolish evaluation lessons: warm voice, fold in workshop reasoningClaude Code7ab0fc1con GitHubRewrite module 5 lessons from workshop, polish voice, add videoClaude 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 | 403 |
| Merge commits removed | −9 |
| CI / dependency bots removed | −0 |
| Considered | 394 |
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 DataTalksClub/llm-zoomcamp