Ryan welcomes RunPod co-founder and CEO Zhen Lu to discuss circumventing VC money by going straight to your community for funding, how Zhen balances founder intuition with user feedback when the community is the one backing the project, and RunPod’s journey from basement servers to global infrastructure partnerships with a software-layer approach and data-first paradigm.
Ryan sits down with Galen Wolfe-Pauly, CEO of Tlon, to chat about calm computing and how humans can take back ownership of their data and digital world.
Adoption and trust are moving in diametrically opposed directions, and that gap has real implications for organizations deciding how to spend money on software.
Ryan hosts SmartBear’s VP of AI and Architecture Fitz Nowlan to explore how we’re moving away from old assumptions about software development, the challenges of testing MCP servers as LLM-driven agents introduce non-determinism that breaks tradition, and how data locality and data construction are becoming more valuable when source code is so easy to generate.
Ryan is joined by Nancy Wang, CTO of 1Password, to discuss the security challenges local agents present, how enterprises can create robust governance of credentials through zero-knowledge architecture, and the implications of agent intent and misuse in a world where AI agents are becoming more and more integrated into everyday applications.
Coding guidelines and standards for agents need to be a little different—more explicit, demonstrative of patterns, and obvious.
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.
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.
Dana Lawson, CTO of Netlify, shares her insights on leading a lean, globally distributed engineering team that powers 5% of the internet.
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.
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 difference between AI that impresses people in demos and AI that drives production value is context.
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.
From interoperability to knowledge architecture to creating AI tools people can actually use, here’s a recap of what we learned from DeveloperWeek 2026.
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.
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.
For most of the web's history, content platforms operated on a simple binary: open or blocked. Then generative AI changed everything.
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.
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.
Inside the pay-per-crawl model colaunched by Stack Overflow and Cloudflare.
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.
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.
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.
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.
