Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software 文章

ArXiv CS.AI2026-06-29PAPERen作者: Daniel Russo

详细信息

来源站点
ArXiv CS.AI
作者
Daniel Russo
文章类型
PAPER
语言
en
发布日期
2026-06-29

摘要

arXiv:2606.28235v1 Announce Type: cross Abstract: Autonomous coding agents now open and merge pull requests in shared repositories at scale, and the field evaluates them the way it has always evaluated components, one agent at a time, on isolated benchmark tasks. Yet agents that each pass their own tests still leave repositories that accumulate problems no single contribution accounts for. We ask whether this problem belongs to the individual agent or to the repository where it accumulates. We study integration friction, the cost of integrating a contribution into a codebase that other contributors are concurrently changing. Across more than 930,000 agent-authored pull requests, we measure how much of the variation in friction stays with the repository after the contribution, its author, its size, and its agent are accounted for. About half does, and it survives full controls.