Human input needed: take our survey on AI agents
Are you still "human-in-the-loop," or have you moved to "human-on-the-loop," overseeing a bot that’s doing the driving?
AI
Why AI hasn't replaced human expertise—and what that means for your SaaS stack
The most valuable AI tools in your enterprise stack do more than generate answers. They help developers determine which answers to trust.
Who needs VCs when you have friends like these?
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.
Seizing the means of messenger production
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.
What the AI trust gap means for enterprise SaaS
Adoption and trust are moving in diametrically opposed directions, and that gap has real implications for organizations deciding how to spend money on software.
How can you test your code when you don’t know what’s in it?
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.
Prevent agentic identity theft
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.
Building shared coding guidelines for AI (and people too)
Coding guidelines and standards for agents need to be a little different—more explicit, demonstrative of patterns, and obvious.
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.