Research Watch · This week Business (preprint, Jul 2026)
From the Jul 21, 2026 daily brief
An empirical study of 25,264 pull requests (code-change proposals) opened by AI agents across 2,361 popular open-source projects: adoption is highly concentrated — the median project sees just 1–2 agent PRs in three months; projects with 1–5 maintainers participate at higher rates than mid-size and large ones; and the dominant collaboration mode is single-person supervision — one developer reviewing and reworking the agent's output. The authors' conclusion: whether an agent's contribution gets integrated depends on who governs it and through what organizational process, not just on the agent's capability (arXiv, 2026-07). Mind the denominator: a three-month snapshot of popular public projects, excluding enterprise-internal use — do not extrapolate to enterprise adoption.
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