- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
🤳🥫 The new Open Food Facts mobile application for Android and iOS, crafted with Flutter and Dart
01Result
openfoodfacts/smooth-app ↗openfoodfacts/smooth-app AI coding statistics: 11.5%
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 | 0% | 13 |
| 2026-03 | 0% | 2 |
| 2026-04 | 33.3% | 3 |
| 2026-05 | 25% | 4 |
| 2026-06 | 7.7% | 26 |
| 2026-07 | 18.2% | 11 |
| 2026-08 | 7.1% | 14 |
| 2026-09 | 21.4% | 14 |
Peak month: 33.3%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| GitHub Copilot | GitHub | 9 | 10.3% |
| Claude Code | Anthropic | 1 | 1.1% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
c6c31e04on GitHubfix: translation checks (#7739)GitHub Copilot45e46f10on GitHubchore: Add localization signature checks with GitHub Actions annotations (GitHub Copilotcfcceeebon GitHubfix: Additional translations (#7731)GitHub Copilot17dd1ff5on GitHubfeat: 7665 - show the live campaign figures on the home news card (#7667)Claude 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 | 200 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −113 |
| Considered | 87 |
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 openfoodfacts/smooth-app