After all the hype, was 2025 really the year of AI agents?
Ryan is joined by Stefan Weitz, CEO and co-founder of the HumanX Conference, for a conversation on how AI has evolved in the last year.
AI is becoming a second brain at the expense of your first one
The risk isn’t just that we’ll get lazy and become lousy at critical thinking; the risk is that we’ll outsource our judgement and lose the ability to make qualitative, moral, and interpersonal judgments altogether.
Building a global engineering team (plus AI agents) with Netlify
Dana Lawson, CTO of Netlify, shares her insights on leading a lean, globally distributed engineering team that powers 5% of the internet.
Domain expertise still wanted: the latest trends in AI-assisted knowledge for developers
In February, we surveyed our users with research designed in partnership with OpenAI and found out that more developers than ever are using AI at work to learn, they are using other traditional online resources to validate but still find trust in AI a major barrier.
Open source for awkward robots
Ryan is joined by Jan Liphardt, CEO and co-founder of OpenMind, to chat about the rapidly evolving world of humanoid robotics and what it means for humans, why OpenMind is building an open-source operating system for robots that processes logic in natural language, and how putting Asimov’s Laws on the blockchain might be the key to robotics guardrails.
The context problem: Why enterprise AI needs more than foundation models
The difference between AI that impresses people in demos and AI that drives production value is context.
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.
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.
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.
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.
Beyond block or allow: How pay-per-crawl is reshaping public data monetization
For most of the web's history, content platforms operated on a simple binary: open or blocked. Then generative AI changed everything.
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.
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.
Why Stack Overflow and Cloudflare launched a pay-per-crawl model
Inside the pay-per-crawl model colaunched by Stack Overflow and Cloudflare.
Mind the gap: Closing the AI trust gap for developers
Developer trust is synonymous with a willingness to deploy AI-generated code to production systems with minimal human review, as well as assurance that AI tools aren’t introducing unacceptable risks and technical debt that will burden you down the line.
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.
Why demand for code is infinite: How AI creates more developer jobs
Not only is there a future for software development, but we’re on the cusp of enormous demand for code developed by humans.
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.
Scaling enterprise AI: lessons in governance and operating models from IBM
Successful implementation and scaling of enterprise AI projects is fundamentally a people and operating model challenge, not just a technology problem.
