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.

One browser tab for PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis, SQLite, Couchbase, ClickHouse, Druid, DuckDB, Turso and more. An open-source SQL IDE with SSO, audit trail and AI-assisted queries MIT licensed, with nothing held back behind an enterprise wall.

01Result

libredb/libredb-studio ↗

libredb/libredb-studio AI coding statistics: 10.9%

of 984 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate

10.9% agent · top contributor 61.7%10 contributors

team

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

107

agent commits

877

other considered commits

agent contributors

61.7%

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

107assisted

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

Peak month: 57.3%. Bars are scaled to that peak, not to 100%.

Which agents

Agent	Vendor	Commits	Share
Claude Code	Anthropic	106	10.8%
GitHub Copilot	GitHub	1	0.1%

03Evidence

Inspect the matches

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

Matched commit samples

54312ecd on GitHubfix(mssql,oracle): omit unknown overview size bytes (#579)Claude Code
2fcbcb79 on GitHubfix(redis): read the active session's user from CLIENT LIST's user field (Claude Code
1957bf7a on GitHubfeat(azure): Azure Marketplace solution-template package (#307)Claude Code
8a2e69c0 on GitHubPotential fix for pull request findingGitHub 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 window	1,067
Merge commits removed	−63
CI / dependency bots removed	−20
Considered	984

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 →TypeScript AI coding statisticsCompare evidence across TypeScript 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 libredb/libredb-studio

Scan another repository

Try

Month	Agent share	Considered commits
2026-02	0%	101
2026-03	24.2%	190
2026-06	57.3%	75
2026-07	8.8%	159
2026-08	1.3%	232
2026-09	0.4%	227