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The divide between network engineers and developers has long been a source of frustration, misunderstanding, and blame in the tech world. When applications fail, the classic refrain "it's the network" often echoes through organizations, leaving network engineers scrambling to prove their innocence while developers remain convinced of their code's perfection.

In this enlightening conversation, former Cisco developer advocate Erika Dietrick joins hosts Andy Lapteff and Jeff Clark to unpack the root causes of this technological rift. Erika offers a rare dual perspective, having worked both as a software engineer and in Cisco's Technical Assistance Center (TAC). She explains how educational paths create fundamentally different mindsets: "Developers learn to code, period. We do not learn how our computer works. We do not learn how the network works."

Andy shares his personal struggles with learning automation, admitting to starting and quitting "every Python class on planet Earth." This prompts Erika's most valuable insight – that learning to "think like a developer" matters more than syntax or commands. The conversation explores how network engineers often find themselves drowning in daily operational tasks while being expected to add coding skills "for no more money," creating resistance to automation despite its potential benefits.

The discussion takes unexpected turns through topics like cultural differences between teams, the challenges of breaking technical silos, and how AI might actually help bridge these gaps without replacing human expertise. Erika outlines her upcoming free course designed specifically for network engineers learning to code with AI – addressing the exact educational gap that has frustrated network professionals for years.

Whether you identify more with Andy's automation struggles or Jeff's enthusiasm for Python scripting, this episode offers practical perspectives on healing the developer-networker divide.

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