- Dataset
- 2026-09-18-v3.0
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-09-16
- Window
- February–September 15, 2026
01Result
espressif/esp-idf ↗espressif/esp-idf AI coding statistics: 2.3%
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 | 0.3% | 328 |
| 2026-03 | 1.3% | 457 |
| 2026-04 | 0.4% | 482 |
| 2026-05 | 1.8% | 544 |
| 2026-06 | 4% | 471 |
| 2026-07 | 4.4% | 569 |
| 2026-08 | 1.8% | 337 |
| 2026-09 | 4.6% | 241 |
Peak month: 4.6%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Cursor Agent | Anysphere | 59 | 1.7% |
| Claude Code | Anthropic | 14 | 0.4% |
| GitHub Copilot | GitHub | 7 | 0.2% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
25a86c46on GitHubfeat(tsens): Load ESP32-H4 temperature calibration from eFuseCursor Agentb63ecdc5on GitHubfix(i2s): use GPIO5 as wav_player default DOUTCursor Agentd648b858on GitHubfeat(tools): adopt esp-pylib for mcp-server logging and portsCursor Agentdb6b3104on GitHubfeat(tools): add -j/--jobs option to idf.pyClaude Codeb3a0e166on GitHubfeat: add compile_options support to idf.py build-fileClaude Code16275df0on GitHubfeat: add idf.py build-file command for standalone C filesClaude Codee53eb6c1on GitHubci(bootloader): fixed multiboot example flakey test-caseGitHub Copilot54c6851bon GitHubtest: align esp32s31 freertos perf limitsGitHub Copilotd59a7002on GitHubdocs(examples): fix broken README links found by check_readme_links CIGitHub Copilot
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 | 5,525 |
| Merge commits removed | −2,096 |
| CI / dependency bots removed | −0 |
| Considered | 3,429 |
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
- espressif/esp-idf
- Default branch
- master
- Resolved HEAD
- e25d7399e387f78a13903cfcded23ff721b6a449 ↗
- 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
- 2.3%
- Cohort median
- 0.4%
- Share rank
- 35 / 127
Percentile = (repositories below + half of 4 tied repositories) ÷ 127.
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 espressif/esp-idf