Even the chip makers are making LLMs
Ryan welcomes Kari Briski, NVIDIA’s VP of Generative AI Software for Enterprise, to the show to explore how a chip manufacturer got into the model development game.
Building brains for bulldozers
Ryan chats with Kevin Peterson, CTO of Bedrock Robotics, about the evolution of self-driving technology and why robotics is now advancing; how real data is still relevant but simulation becomes essential for scale; and the future of robotics in addressing labor shortages and enhancing productivity.
DeveloperWeek 2026: Making AI tools that are actually good
From interoperability to knowledge architecture to creating AI tools people can actually use, here’s a recap of what we learned from DeveloperWeek 2026.
AI-assisted coding needs more than vibes; it needs containers and sandboxes
In this sponsored episode, Ryan chats with Mark Cavage, President and COO of Docker, joins the show to dive into hardened containers and agent sandboxes.
No need for Ctrl+C when you have MCP
Ryan sits down with Member of the Technical Staff at Anthropic and Model Context Protocol co-creator David Soria Parra to talk the evolution of MCP from local-only to remote connectivity, how security and privacy fit into their work with OAuth2 for authentication and authorization, and how they’re keeping MCP completely open-source and widely available by moving it to the Linux Foundation.
What’s new at Stack Overflow: March 2026
All that's new on Stack Overflow last month, including the redesigned Stack Overflow now available in beta and open-ended questions now available to all users, plus a shoutout to the community members earning the Populist badge.
To live in an AI world, knowing is half the battle
Ryan welcomes Marcus Fontoura, technical fellow at Microsoft and author of Human Agency in the Digital World, to discuss the intersection of technology, society, and human dignity in a digital-first world.
Your sneak peek at the redesigned Stack Overflow
Come check out the new Stack Overflow beta experience, tell us what you think, and help shape what’s next.
Dogfood so nutritious it’s building the future of SDLCs
Ryan welcomes Thibault Sottiaux, OpenAI’s engineering lead on Codex, to discuss how the Codex team dogfoods Codex to build Codex, what distinguishes an agentic coding tool from a chat-based code assistant, and why they’re focusing on a safe and secure agentic SDLC rather than just code generation.
Defense against uploads: Q&A with OSS file scanner, pompelmi
API and network traffic get all the press, but some folks are still trying to build a better upload scanner.
Even GenAI uses Wikipedia as a source
Ryan is joined by Philippe Saade, the AI project lead at Wikimedia Deutschland, to dive into the Wikidata Embedding Project and how their team vectorized 30 million of Wikidata’s 119 million entries for semantic search.
Data is the new oil, and your database is the only way to extract it
Ryan sits down with Shireesh Thota, CVP of Azure Databases at Microsoft, to discuss the evolution of databases at Microsoft; Azure’s comprehensive portfolio that includes SQL Server, CosmosDB, and Postgres; and the challenges that come with database architecture, from the importance of cost governance and multi-cloud strategies to the future of databases when it comes to AI.
Even your voice is a data problem
Recorded last December at AWS re:Invent, Ryan welcomes CEO and co-founder of Deepgram, Scott Stephenson, for a conversation on advancing voice AI technology.
How everyone and anyone can use AI for good
There are big hitters in the AI space that use this tech for humanitarian and environmental good—from start-ups fighting climate change to voice recognition experts diagnosing diseases. But you don't need to be backed by AWS or Microsoft to do good. In part two of this series, we dive into how anyone can use AI for good.
Is anyone using AI for good?
In a world where AI is replacing human workers, using up energy and water, and deepening disconnect, is AI for humanitarian good even possible? The answer is yes. In the first part of this two-part series, we're taking a look at just a few AI do-gooders and what they're doing to fight climate change, make healthcare more accessible, and help their communities.
The logos, ethos, and pathos of your LLMs
Ryan is joined by Professor Tom Griffiths, the head of Princeton University’s AI Lab, to dive into findings from his new book The Laws of Thought, which explores the history of the philosophy, mathematics, and logic that underlie artificial intelligence, and scientists' efforts to describe our minds using mathematics.
AI attention span so good it shouldn’t be legal
We have another two-for-one special this week, with two more interviews from the floor of re:Invent.
Code smells for AI agents: Q&A with Eno Reyes of Factory
Quality software still needs high-quality code, AI agents or not.
Generating text with diffusion (and ROI with LLMs)
Two guests for the price of one! This episode has two interviews recorded at AWS re:Invent back in December.
What’s new at Stack Overflow: February 2026
This month, we’ve launched several improvements to AI Assist, opened Chat to all users on Stack Overflow, launched custom badges across the network, and launched one of the first community-authored coding challenges.
Wanna see a CSS magic trick?
Ryan is joined by Chris Coyier, founder of CSS Tricks and CodePen, to talk all about what the state of the art of CSS is today, including new features like variables and scroll-driven animations.
Are you learning with AI? We want to know about it!
We're running a survey to understand how people are using AI to learn and whether that's helping, hurting, and replacing tools.
Are bugs and incidents inevitable with AI coding agents?
What specific kind of bugs is AI more likely to generate? Do some categories of bugs show up more often? How severe are they? How is this impacting production environments?
Spy vs spy at scale
Ryan welcomes Anthony Vinci, former senior intelligence officer and author of The Fourth Intelligence Revolution, to explore AI’s evolving role in intelligence in places like translation and image analysis, the challenges of evolving modern tech into government infrastructure, and the importance of democratized intelligence so citizens can keep themselves and loved ones safe.