- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
01Result
tensortrade-org/tensortrade ↗tensortrade-org/tensortrade AI coding statistics: 51.7%
One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.
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.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Claude Code | Anthropic | 15 | 51.7% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
897b4f97on GitHubAdd GitHub Actions CI workflow and update README badgeClaude Code81338a49on GitHubFix Makefile Docker targets for non-interactive and unauthenticated useClaude Codea592763aon GitHubUpdate examples, deps, and tests for Python 3.12+ / v1.0.4 compatClaude 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 | 30 |
| Merge commits removed | −1 |
| CI / dependency bots removed | −0 |
| Considered | 29 |
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 tensortrade-org/tensortrade