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.

data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

01Result

dlt-hub/dlt ↗

dlt-hub/dlt AI coding statistics: 1.1%

of 353 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
1.1% agent · top contributor 50%3 contributors
individual

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

4
agent commits
349
other considered commits
3
agent contributors
50%
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

4assisted
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
2026-020%55
2026-030%52
2026-040%32
2026-051.9%52
2026-064.1%49
2026-070%53
2026-082.2%46
2026-090%14

Peak month: 4.1%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic41.1%

03Evidence

Inspect the matches

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

Matched commit samples

  • 227413b4 on GitHubdocs(hub): document inviting members and org/workspace roles (#4082)Claude Code
  • 5bdd803d on GitHubfeat(dashboard): show dataset browser by default in the dltHub dashboard (Claude Code
  • 323ef288 on GitHubdocs(hub): apply review feedback on dltHub docs (#3975)Claude 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 window383
Merge commits removed−19
CI / dependency bots removed−11
Considered353

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 →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 dlt-hub/dlt

Scan another repository

Try