Pulse
2026-09-18-v3.0
Dataset
2026-10-27-catalog-ai-v2
Ruleset
b2e8889c66f7
Scanned
2026-10-27
Window
February–September 15, 2026
Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

A nimble options research and backtesting library for Python

01Result

goldspanlabs/optopsy ↗

goldspanlabs/optopsy AI coding statistics: 65.4%

of 283 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
65.4% agent · top contributor 91.9%2 contributors
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

185
agent commits
98
other considered commits
2
agent contributors
91.9%
largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

185assisted
0autonomous

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

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-0265.2%276
2026-0371.4%7

Peak month: 71.4%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic17762.5%
GitHub CopilotGitHub217.4%

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

  • e381414c on GitHubChange default slippage from "mid" to "spread" for more realistic backtestClaude Code
  • d551fe8e on GitHubUpdate README doc links to goldspanlabs.github.io/optopsyClaude Code
  • f54a6bfc on GitHubFix CLI tests missing mocks for _load_env, dotenv, and requestsClaude Code
  • 2ca67e0f on GitHubAdd start_date/end_date range filtering to create_chart tool (#242)GitHub Copilot
  • 6095a36e on GitHubRequire `close` column in TA signal helpers; remove `underlying_price` falGitHub Copilot
  • 3a688f97 on GitHubRemove bidirectional close/underlying_price copy in apply_signal (#230)GitHub 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 window299
Merge commits removed−2
CI / dependency bots removed−14
Considered283

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →Python AI coding statisticsCompare evidence across Python repositories →GitHub AI commit analyzerInspect another repository with the same evidence model →
Reproduce this observation

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 goldspanlabs/optopsy

Scan another repository

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