The Stack Overflow Podcast

Recorded at Microsoft Build, Ryan welcomes Sarah Bird, Microsoft’s Chief Product Officer for Responsible AI, about how we can build and use AI responsibly with the NIST approach, why most irresponsible AI comes from experimentation without thought of impact, and how Microsoft is researching thoughtful human/AI workflow design to reduce unnecessary escalation.
Episode notes:
This episode was recorded at Microsoft Build. Listen to our other episode recorded at Build on agentic workflows here.
Connect with Sarah on LinkedIn.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Live from Microsoft Build, Ryan is joined by Jay Parikh, Microsoft’s VP of AI Core, for a conversation on what enterprises need to build, deploy, and run AI agents at scale with demonstrable ROI; how Microsoft built an end-to-end agent development system that goes past just the harness; and how you can evaluate for reliability and correctness in models that get more intelligent and autonomous everyday.
Episode notes:
This episode was recorded at Microsoft Build. Learn more about the announcement and news from Build, including Microsoft’s new GitHub app and Foundry platform, at the Microsoft blog.
Connect with Jay on LinkedIn.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SPONSORED BY IBM
Ryan 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.

Ryan welcomes Saahil Jain, CTO of You.com, to discuss why building agents with a 2024 mindset is a mistake as modern models improve at long-horizon tasks, why heavy orchestration layers can hurt model performance more than help it, and why the 2026 competitive edge actually comes from information retrieval and unique data paired with end-to-end evaluation.
Episode notes:
You.com is an AI-powered search and productivity engine helping enterprises find information, create content, and automate complex tasks using web search APIs, multi-model AI access, and agentic intelligence.
Connect with Saahil on LinkedIn or reach out to him at  saahil@you.com.
Today’s shoutout goes to user knittl for winning a Populist badge on their answer to Remove all null values.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Benny Chen, co-founder of Fireworks AI, to the show to explore what actually makes an AI application good or not, how to balance qualitative signals with quantitative metrics when evaluating AI, and how open-source eval protocols and community efforts are setting the standard for AI evaluation.
Episode notes:
Fireworks AI is a cloud platform designed for developers and enterprises to run, customize, and scale open-source generative AI models.
Connect with Benny on LinkedIn.
Congrats to user techtabu for winning a Stellar Answer badge for answering How can I delete all local Docker images?.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.