What's left for infrastructure-as-code after AI moves in?

SPONSORED BY IBMRyan is joined by Rosemary Wang, Developer Advocate at IBM, to explore what infrastructure as code looks like once AI starts writing and deploying it. They discuss why guardrails still lag adoption, breaks down what it means when “anyone can deploy,” and why deep systems knowledge still matters. Episode notes:Try out Bob, IBM’s coding agent that Rosemary talked about in the episode. Connect with Rosemary on X, LinkedIn, or Bluesky. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Poddgruvan

What's left for infrastructure-as-code after AI moves in?

Agent orchestration is so two-years ago

The good, the bad, and the AI apps

How do you turn AI coding chaos into a repeatable playbook?

Why intent prediction needs more than an LLM

Code isn’t the only thing causing your production failures

Oh the places you’ll go with spatial data

You don’t understand DNS like you think you do

If context is king, architecture is the castle

Developers are emotionally attached to their tools

When the cost of code approaches zero, what does engineering leadership look like?