- Dataset
- 2026-09-18-v3.0
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-09-16
- Window
- February–September 15, 2026
01Result
huggingface/sentence-transformers ↗huggingface/sentence-transformers AI coding statistics: 2.8%
Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.
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. Across the whole index, 96% of agent commits are assisted.
Agent share by month
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-02 | 5.1% | 39 |
| 2026-03 | 0% | 142 |
| 2026-04 | 2.9% | 103 |
| 2026-05 | 3.8% | 26 |
| 2026-06 | 9.4% | 53 |
| 2026-07 | 1.4% | 141 |
| 2026-08 | 5.1% | 99 |
| 2026-09 | 0% | 42 |
Peak month: 9.4%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| GitHub Copilot | GitHub | 16 | 2.5% |
| Claude Code | Anthropic | 3 | 0.5% |
| Cursor Agent | Anysphere | 1 | 0.2% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
1f3babf8on GitHubdocs: Align MultiVectorEncoder pages with the other archetypes (#3933)GitHub Copilotf35b1468on GitHub[`v6`] fix: upcast cross-encoder logits to float32 before activation (HPS)GitHub Copilotf1dc93fbon GitHub[`v6`] fix: compute similarity scores in float32 to avoid low-precision tiGitHub Copilotf35b1468on GitHub[`v6`] fix: upcast cross-encoder logits to float32 before activation (HPS)Claude Codef1dc93fbon GitHub[`v6`] fix: compute similarity scores in float32 to avoid low-precision tiClaude Code99b0a84con GitHub[fix] Detach KL teacher & fix per-layer weighting in AdaptiveLayerLoss (#3Claude Coded2ac5044on GitHub[`fix`] `GroupByLabelBatchSampler` to guarantee multi-class batches for trCursor 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 | 670 |
| Merge commits removed | −15 |
| CI / dependency bots removed | −10 |
| Considered | 645 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
05Provenance
Pinned to a source state
This observation names the repository state, release, and detector that produced it. Use these identifiers when reproducing or citing the result.
- Dataset release
- 2026-09-18-v3.0
- Scan date
- 2026-09-16
- Ruleset
- sha256:b2e8889c66f72c18a61839f0bf1a9f77b5481ba2def044dba33c797b2f2bdcae
- Canonical repository
- huggingface/sentence-transformers
- Default branch
- main
- Resolved HEAD
- 4e1fb7221a5097a03e281ca1a42525c396c3acb2 ↗
- Resolved
- 2026-09-16
- Measurement window
- February–September 15, 2026
06Peer context
Position among comparable repositories
The cohort uses the same release and measurement window, then narrows to the repository’s ecosystem and removes low-activity observations.
Midrank percentile; equal shares split the tied positions.
- Repository
- 2.8%
- Cohort median
- 6.3%
- Share rank
- 165 / 247
Percentile = (repositories below + half of 2 tied repositories) ÷ 247.
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 huggingface/sentence-transformers