- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
Repo for the Complete Agentic AI Engineering Course
01Result
ed-donner/agents ↗ed-donner/agents AI coding statistics: 1.8%
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 | 3.8% | 53 |
| 2026-03 | 0% | 815 |
| 2026-04 | 0% | 194 |
| 2026-05 | 0% | 110 |
| 2026-06 | 16.3% | 92 |
| 2026-07 | 0% | 72 |
| 2026-08 | 5.3% | 75 |
| 2026-09 | 12.8% | 39 |
Peak month: 16.3%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 20 | 1.4% |
| Cursor Agent | Anysphere | 6 | 0.4% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
44fcab92on GitHubAdd cross-lab review notebook running on free Ollama modelsClaude Code2cf3a0b1on GitHubLab 2 Exercise - Amit TClaude Code89d24677on GitHubAdd week1 community contribution (kavyahj04)Claude Codec8619908on GitHubLab 1 Exercise - Amit TCursor Agent1c4d23b5on GitHubClear Lab 1 notebook outputs.Cursor Agent49e3ce09on GitHubAdd Donald's lab 3 evaluator solutionCursor 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 | 2,269 |
| Merge commits removed | −819 |
| CI / dependency bots removed | −0 |
| Considered | 1,450 |
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 ed-donner/agents