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This article details an AI agent actively re-architecting a production-grade Cisco network topology by validating hardware models and correcting design flaws before implementation. It moves beyond simple Q&A to demonstrate an autonomous agent functioning as a co-architect for enterprise infrastructure, specifically optimizing a Clos fabric into a two-tier vPC design.
Using AI to re-architect the Cisco DevNet sandbox environment – Part 1

An AI agent reviewed our sandbox network design, caught routers hanging off the spines, and asked one question that turned a Clos fabric into a two-tier vPC design.
Part 1 of a five-part series on AI network design: building a production-grade sandbox network with Claude as a second architect in the room, not a tool I queried for facts. The rest of the series: Part 2 – The Fabric Claude Designed; Part 3 – Why I Let Claude Talk Me Out of Its Own Design; Part 4 – From Whiteboard to Rack; Part 5 – The Outage Claude Diagnosed in Minutes. I’ll be upfront about where I started: skeptical. In one short AI network design review, Claude caught a cabling mistake I was about to make, and a few questions later, two routers I’d budgeted for had become spares. I was building a sandbox network with real Cisco firewalls, real edge routers, and a real Nexus switching fabric: the kind of gear that costs real money and doesn’t get re-cabled on a whim. I’d used…
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