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Multiplayer AI: Why your team (and its agents) need a group chat
Ryan chats with the GM of Slack, Rob Seaman, about how their new Code Channels feature is bringing multiplayer AI to your team chats.
Haters think AI agents can't write GPU code? This'll ROCm
Ryan chats with Anush Elangovan, VP of Software at AMD, about ROCm's open-source unified toolchain for GPUs, how agentic AI is drastically lowering the barrier to entry for low-level hardware programming, and the rapid convergence of software and hardware development timelines.
The AI magic words
Ryan sits down with Tim O'Reilly, founder and CEO at O'Reilly Media, to talk about the role of books as user interfaces to knowledge, the power of "magic words" to extract better outputs from AI, and why human taste is becoming highly valuable as knowledge becomes a commodity.
From better privacy to our new ChatGPT plugin, here's what's new on Stack Overflow for Agents
We've learned a lot in the last three months since launching Stack Overflow for Agents, our API-first knowledge exchange for agents. Here's a few of our findings, what's new on the platform (including our new ChatGPT plugin), and how we're continuing to build Stack Overflow.
AI, JD, and other letters of the law
Ryan chats with Kevin Frazier, director of the AI Innovation and Law program at the University of Texas School of Law, about the legal and social impacts of data centers, the realities of workforce disruption, and regulating AI for child safety using existing consumer protection laws.
AI cybersecurity is a cat and mouse game
Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vulnerabilities, and why building more resilient code infrastructure is the best way to address the…
(Re)introducing Developer Story
For the past few years, we’ve been looking at ways to bring a little more of the individual developer back to Stack.
Java’s age is its AI superpower
Ryan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java.
Scaling your money safely with AI
Ryan chats with Srini Venkatesan, CTO at PayPal, about validating AI-generated deterministic code for security, developing autonomous SDLC harnesses with iterative feedback loops, and creating a seamless headless checkout experience.
How to build a secure-by-default AI coding agent
Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guardrails, and how Anaconda is using strategic acquisitions to secure the AI software supply chain.
Elevating security, control, and accessibility: Stack Internal 2026.6
In our 2026.6 release, we are shipping updates across administrative security, programmatic API control, developer portal integrations, and platform-wide accessibility—ensuring both your engineers and your AI agents act on verified, decision-grade knowledge.
The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)
Andi Gutmans, head of Agentic Data Cloud at Google, returns for the second half of his Leaders of Code conversation to talk through the cost and infrastructure side of agentic development. ICYMI, part one covered judgment, code review, and data activation.
The good ol’ days of building Java
Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its inception, why it was strategically important for the Java team to create a cross-platform ABI to…
When you keep AI Lean, you keep AI correct
Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning complements probabilistic AI models, and the use of AI for continuous code optimization.
Inside LinkedIn's cognitive memory agent for agentic personalization
Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state.
Responsible AI adoption needs developer workflow design
Organizations cannot solve shadow AI with a document employees read once. They need to make responsible use easier than improvised use.
Dispatches from O'Reilly: The right amount of spec for agentic development
When code gets cheap, the hard part is deciding what “correct” means and building a reliable way to check it.
Get rid of your CAPTCHA, the future of the web is bots
Ryan chats with Brian Alvey, CTO at WordPress VIP, about how AI agents are changing the business models of the web, what parts of how we build our sites won’t survive our current digital evolution, and why your site will always need structured content.
AI Won't Replace Project Managers, But It is Reshaping How Work Gets Done
Quantum-Augmented Applications: Integrating Quantum Subroutines into Classical Software Stacks