No Dumb Questions: What is cloud computing and why is everyone doing it?
In this No Dumb Questions, Phoebe is joined by Stack Overflow’s tech lead for the infrastructure team, Josh Zhang, to learn about the cloud, compute, and data centers.
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Observability and human intuition in an AI world
In this two for one episode recorded at HumanX, Ryan is first joined by Christine Yen, CEO of Honeycomb, to discuss how AI compresses the software development lifecycle, making observability about capturing the right telemetry. Then, Spiros Xanthos, founder and CEO of Resolve AI, shares with us how AI coding increases code volume but decreases human intuition, making production operations harder than ever.
How Braze’s CTO is rethinking engineering for the agentic area
Jon Hyman, co-founder and CTO of Braze, shares how he's led the company's engineering organization over nearly 15 years of growth — and how they transformed into an AI-first team in just a few months.
Connecting the dots for accurate AI
At HumanX, Ryan is joined by Philip Rathle, CTO at Neo4j to discuss what knowledge context means for AI agents, how limitations like stale training data make the model-only approach to agents a bad fit for enterprise environments, and how Graph RAG raises the bar for accuracy and reduces context rot by combining vectors with a knowledge graph so agents are more targeted and connected.
When the Sensor Starts Thinking: SnortML, Agentic AI, and the Evolving Architecture of Intrusion Detection
Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"
No Dumb Questions: What is an MCP server and why do I care?
Welcome to No Dumb Questions, a column where our least technical writer asks our technical staff the simple, basic tech questions people are afraid to ask. In this first entry, Stack's Director of Ecosystem Strategy Ben Marconi teaches us the basics of MCP servers and why they matter.
AI giveth and AI taketh CPU
Recorded on the floor of HumanX, Ryan is joined by AMD CTO Mark Papermaster to discuss AMD’s silicon strategy for AI borne of their long history of heterogeneous CPU/GPU computing, how chipmakers are dealing the wide range of AI workloads from training to inference, and the paradox of agents both eating up all the compute and helping AMD accelerate chip innovation.
Dispatches from O'Reilly: Fast paths and slow paths
Selective control in autonomous AI systems: Why governing every decision breaks autonomy—and how runtime control actually works at scale.
The Worst Coder in the World goes agentic: building a leaderboard cracking AI
Agents are everywhere, so isn't it fitting that the Worst Coder in the World goes agentic? A coding newbie explores the challenges and rewards of building an agent for work—and trying to learn a few things about coding along the way.
Your LLM issues are really data issues
Ryan welcomes Harsha Chintalapani, co-founder and CTO at Collate and co-creator of Open Metadata, to the show to discuss why AI and LLMs struggle with real-time, structured production data.
Welcome to the “find out” stage of AI
AI companies are looking a little different after going through a few renewal cycles.
Black box AI drift: AI tools are making design decisions nobody asked for
Prompts go in, output comes out, and the decisions made in between are hidden from view.
How to get multiple agents to play nice at scale
Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer, from Intuit join the podcast to chat about what might be the hardest problem in engineering right now: getting multiple AI agents to work together in a complex system.
No country left behind with sovereign AI
Ryan welcomes Stephen Watt, distinguished engineer and VP of Red Hat’s Office of the CTO, to chat about digital sovereignty and sovereign AI.
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?
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.
