Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software
Evolving story · 1 updatesEvaluating Ecosystem-Level Risk in AI-Native SoftwareTimeline →Researchers study ecosystem-level risk in AI-native software, focusing on integration friction in shared repositories. Autonomous coding agents can pass individual tests but still cause problems in the repository.
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
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