AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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AI agents are increasingly involved in network automation, where they can initiate configuration changes through mediated operational interfaces and assess the resulting state. Nonetheless, operational networks usually span many devices and administrative domains. Realizing an operator's intent requires coordinating ag...
NetArtifactBench is introduced, which tests whether AI agents can repair inconsistent records derived from public network-system artifacts while preserving claims that remain supported, and argues that artifact integrity should become a first-class design and evaluation requirement for AI agents operating on network sy...
A reference architecture is developed that separates proposal generation from governed execution, identifies recurring integration patterns for LLM-enabled operations, and derives a research agenda for higher network autonomy under explicit assurance, safety, and governance constraints.
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