- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
01Result
Nixtla/nixtla ↗Nixtla/nixtla AI coding statistics: 6.7%
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% | 6 |
| 2026-03 | 6.3% | 16 |
| 2026-04 | 0% | 3 |
| 2026-05 | 0% | 7 |
| 2026-06 | 0% | 7 |
| 2026-07 | 10% | 10 |
| 2026-08 | 0% | 12 |
| 2026-09 | 21.4% | 14 |
Peak month: 21.4%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 5 | 6.7% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
5c3d172fon GitHubfix: snowflake imports and version bump (#882)Claude Codee7fcaff4on GitHub[PRE-RELEASE] v0.9.0.dev1 of Nixtla client (#871)Claude Codee234390con GitHub[PRE-RELEASE] v0.9.0.dev0 of Nixtla client (#868)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 | 105 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −30 |
| Considered | 75 |
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 Nixtla/nixtla