AI is rapidly changing software development, but why are network engineers still hesitant to trust it?

In this sponsored episode, Andy welcomes back CBT Nuggets trainer and Data Knox creator Knox Hutchinson to discuss the intersection of AI, networking, and modern operations. Before building Transit AI, Knox spent years as a software developer delivering enterprise applications for financial institutions before transitioning into networking, a perspective that gives him a unique view of why AI adoption has looked so different across the two disciplines.

Together they explore:

•  Why software engineers embraced AI years before network engineers 
•  The real reasons network professionals distrust AI, and whether those concerns are justified 
•  How enterprise software differs from "vibe coding" 
•  Why AI should investigate network problems, not make changes 
•  How junior engineers can troubleshoot complex outages with confidence 
•  The role of guardrails, policy enforcement, and local LLMs in enterprise networking 
•  A live demonstration of Transit AI troubleshooting a DMVPN outage in under a minute 

Rather than replacing engineers, Knox argues that AI can eliminate cognitive overload, accelerate troubleshooting, and help teams collaborate more effectively, while keeping humans firmly in control of production networks.

Links:
- Download Transit AI's free-forever SSH, serial, and API client:
https://transitai.app/aone

- Test drive Transit AI's investigation-only troubleshooting capabilities with their 14-day free trial.

For all things AONE, check out https://artofnetworkengineering.com/

*Transit AI is an AI-assisted SSH client designed to help network engineers investigate and troubleshoot infrastructure while preventing AI from making configuration changes.

Send us Fan Mail

Support the show

Find everything AONE right here: https://linktr.ee/artofneteng