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.

Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.

EKKOLearnAI/ekko-studio ↗

EKKOLearnAI/ekko-studio AI coding statistics: 18.9%

of 1,441 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
18.9% agent · top contributor 57.7%15 contributors
team

A small group is using agents. Adoption has spread beyond one person but is not project-wide.

272
agent commits
1,169
other considered commits
15
agent contributors
57.7%
largest contributor

What shapes this result

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

Assisted or autonomous

272assisted
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
2026-0479.1%191
2026-0527.4%340
2026-065.9%341
2026-071.3%226
2026-082.2%223
2026-090%120

Peak month: 79.1%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic23516.3%
OpenAI CodexOpenAI292%
GitHub CopilotGitHub80.6%

Inspect the matches

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

Matched commit samples

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 window1,474
Merge commits removed−33
CI / dependency bots removed−0
Considered1,441

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

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 EKKOLearnAI/ekko-studio

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