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.

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

01Result

pymc-labs/pymc-marketing ↗

pymc-labs/pymc-marketing AI coding statistics: 20.5%

of 292 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
20.5% agent · top contributor 21.7%16 contributors
org-wide

Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.

60
agent commits
232
other considered commits
16
agent contributors
21.7%
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

60assisted
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
2026-023.3%61
2026-037.7%52
2026-0440%20
2026-059.1%44
2026-0633.3%12
2026-0715.4%13
2026-0848.1%54
2026-0927.8%36

Peak month: 48.1%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic4716.1%
Cursor AgentAnysphere248.2%

03Evidence

Inspect the matches

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

Matched commit samples

  • ba396da6 on GitHubfeat(optimizer): rebind the compiled objective to a new posterior without Claude Code
  • 6fcd544b on GitHubfix(terms): complete arithmetic operators on Sum and Product (#3010)Claude Code
  • ea7cec6f on GitHubfeat(mmm): LogNormalPrior as likelihood under link='identity' (#2875)Claude Code
  • c44dd873 on GitHubDocs: build funnel MMMs from YAML (#2885)Cursor Agent
  • b8f26404 on GitHubdocs: address #2775 review findings in mmm_funnel_mueffect notebook (#2868Cursor Agent
  • dfea5563 on GitHubfeat(mmm): parameterise DelayedAdstock by half-life (#2887)Cursor Agent

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 window382
Merge commits removed−0
CI / dependency bots removed−90
Considered292

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 →Cursor Agent commitsBrowse repositories with detected Cursor Agent 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 pymc-labs/pymc-marketing

Scan another repository

Try