# Which repositories AI-assisted commits actually land in

Canonical: https://devimprint.com/articles/where-ai-assisted-commits-land/

Published: 2026-09-04T00:00:00.000Z
Author: DevImprint

The public repositories absorbing the most AI-assisted commits in the last 30 days, and why the shape of that list says more than the ranking at the top of it.

A leaderboard of people answers "who". The more useful question for anyone
deciding how to work is "where": which codebases are actually absorbing
AI-assisted commits, and what kind of work is going into them.

Every figure below comes from the snapshot named at the top of this page. Later
snapshots will differ, and the [current ranking](/) is always live.

## The shape of the list matters more than its top

Two things are worth noticing in the chart below, neither of which is the name
in first place.

**The distribution is steep.** A small number of repositories absorb a large
share of the detected commits, and the tail falls away quickly. That is the
signature of concentrated agent work: a handful of projects where someone has
wired an agent into their normal loop, rather than broad shallow adoption
across many codebases.

**Most of them are infrastructure, not products.** Tooling, pipelines,
configuration and test suites dominate. This matches what the tools are good at
today: bounded, well-specified changes with fast feedback, where a wrong answer
is caught by a test rather than a customer.

## Counting caveat, stated once

These totals are built from the repositories named by ranked developers, so a
repository whose contributors are not yet ranked is undercounted, and one with
many ranked contributors is favoured. It is a ranking of visible activity, not
a census. [Coverage](/coverage/) has the current scan figures.

## When the commits happen

The weekday pattern is the other half of the picture. AI-assisted commits are
not evenly spread, and the shape tells you something about who is producing
them: weekday-heavy suggests professional work inside a normal week, while a
flatter distribution points to side projects and personal repositories.

## What this does not show

Nothing here measures value. A repository with many AI-assisted commits is not
better maintained than one with none, and the tools are heavily represented in
exactly the kind of high-volume, low-risk change that inflates commit counts
without moving a product forward. Read this as a map of where the tools are
being used, and nothing more.