The Stack Overflow Podcast

Recorded at LDX3 by LeadDev, Ryan chats with Dan Moore, Senior Director of CIAM Strategy and Identity Standards at FusionAuth, about adapting established OAuth2 protocols for the agentic era, the security necessity of giving autonomous AI agents their own distinct identities, and how AI coding tools are shifting developers' focus toward solving core business problems.

Episode notes:

FusionAuth is an identity and access management platform that provides customer authentication, OAuth, and security solutions for developers.

This episode was recorded at LDX3. Listen to our other LDX3 conversation with engineering leaders Nivia Henry and Charity Majors.

Read Dan’s most recent piece on the Stack Overflow blog about authentication and authorization in MCP.

Connect with Dan at dan@fusionauth.io.

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Ryan is joined by Charity Majors, co-founder and CTO at Honeycomb, for a conversation about applying the concept of immutable infrastructure to software development to treat code like cattle instead of pets, shifting the paradigm of system specifications to accommodate the rapid influx of AI-generated code, and navigating the complex ethical boundaries between system observability and human surveillance in modern technology ecosystems.

Episode notes:

Honeycomb is an observability platform that empowers engineering teams to visualize, analyze, and understand the behavior of their complex cloud systems.

Connect with Charity on her blog athttps://charity.wtf and read her team's posts on AI norms and values on theHoneycomb blog.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan sits down with James Gosling, creator of Java at Sun Microsystems, to talk about the early networking friction that drove the need for interconnectedness, the stringent reliability requirements of consumer electronics companies that inspired the Java virtual machine, and the evolution of garbage collectors that allow Java to handle large-scale concurrent memory management.

Episode notes:

Check out CultRepo’s recently released Java documentary to learn more about the early history of the language and the engineers who built it.

Connect with James onLinkedIn andX.

Congrats to Famous Question badge winnerhttps://www.google.com/search?q=https://stackoverflow.com/users/12345/zain-hassanzainhassan for winning the badge on their answer tojava.security.certpathvalidatorexception, trust anchor for certification path, not founded React Native.

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Recorded on the floor of LDX3, Ryan chats with Nivia Henry, an engineering leader most recently at Netflix, about the reality of the supposed SaaS apocalypse, the complex calculus of the modern build-versus-buy decision in the era of AI, and the critical importance of understanding system architectures to manage long-term infrastructure costs.

Episode notes:

This episode was recorded at this year’s LDX3 by LeadDev, a conference focused on modern engineering leadership, management, and technical strategy

Nivia recently spent two and a half years tackling complex data and engineering challenges atNetflix and previously spent eight years driving product innovation atSpotify.

Connect with Nivia onLinkedIn and on BlueSky.

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Recorded at OpenAI Dev Day 2026, Ryan sits down with Andrew Ambrosino, member of the technical staff at OpenAI, for a conversation on OpenAI's strategy for merging ChatGPT and Codex into a unified experience, the advantages of localized computer access in their successful desktop application, and the technical hurdles of constructing ChatGPT Spaces to support real-time multi-agent collaboration.

Episode notes:

ChatGPT Space is a newly launched collaborative workspace within ChatGPT and Codex that allows software engineering teams and their active AI agents to work together in real-time.

Connect with Andrew onX.

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Ryan is joined by Gabriela Moreira, CEO at Quint, about why formal specification languages like TLA+ are essential for catching system design flaws before writing code, how Quint brings developer-friendly syntax and executability to formal methods, and the ways trace validation and model-based testing can verify AI-generated code against real-world production data.

Episode notes:

Quint is an open-source, executable specification language and toolchain based on TLA+ that enables engineers to model, simulate, and verify system behaviors using an intuitive, programmer-friendly syntax.

Connect with Gabriela onLinkedIn andX.

Congrats to Populist badge winnerhttps://stackoverflow.com/users/266561/alex-kAlex K. for winning the badge on their answer toSQL Server: Select Top 0?.

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Ryan sits down with Josh Triplett, member of the Rust Leadership Team at the Rust Project, to chat about how the borrow checker delivers compile-time memory safety without garbage collection overhead, why Rust consistently ranks as developers' most loved language by providing psychological safety for complex systems, and how strict compiler constraints make Rust an ideal target for AI coding agents.

Episode notes:

Rust is an open-source systems programming language focused on performance, type safety, and compile-time memory safety without the runtime overhead of garbage collection.

Connect with Josh on hiswebsite, onLinkedIn, or chat with him on the Rust Zulip.

Congrats to Great Answer badge winnerhttps://www.google.com/search?q=https://stackoverflow.com/search%3Fq%3Duser%253A%2522Germa%2BVinsmoke%2522Germa Vinsmoke for winning the badge on their answer toCan I access variables from another file?.

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Ryan is joined by Yanbing Li, Chief Product Officer at Datadog, to talk about applying observability to non-deterministic AI agents, blurring the boundaries between software development and production workflows, and navigating emerging challenges in AI security and tokenomics.

Episode notes:https://www.datadoghq.com/

Datadog is an observability and security platform for cloud applications, providing real-time monitoring for infrastructure, distributed systems, and AI agent behavior.

Connect with Yanbing onLinkedIn and learn more on the Datadogwebsite.

Congrats to Great Answer badge winner insertusernamehere for winning the badge on their answer tohttps://stackoverflow.com/questions/How can I get a character array from a string?.

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Ryan chats with Erin Yepis, Senior Analyst at Stack Overflow, about the results from this year’s Annual Developer Survey, including the overwhelming daily usage of AI coding assistants despite lingering developer trust issues, the critical role of well-organized documentation in providing verifiable context to mitigate AI hallucinations, and the evolving ways developers are shifting away from active community posting in favor of passive knowledge consumption.

Episode notes:

Check out the full 2026 Developer Survey results.

Connect with Erin onLinkedIn and read her past articles on theStack Overflow blog.

Congrats to Stellar Question badge winner Franck Freiburger for winning the badge on their question Biggest integer that can be stored in a double.

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Ryan chats with Julien Verlaguet, CEO at Skip Labs, about finding the balance between human tolerance and tooling constraints, the spectrum of typed programming languages, and building cost-effective tooling for AI agents.

Episode notes:https://skiplabs.io/

Skip Labs develops a programming language designed for reactive programming alongside specialized constraint-based tooling for AI agents.

Connect with Julien Verlaguet onLinkedIn.

Congrats to Populist badge winner s0nix for winning the badge on their answer to Git through Visual Studio Code is unusably slow.

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Ryan sits down with Div Garg, CEO at AGI Inc., to talk about running AI agents entirely on mobile devices, optimizing models for edge computing chips, and building safety mechanisms into autonomous app interactions.

Episode notes:

AGI Inc. is a research lab building the world's best on-device models that allow AI to autonomously interact with millions of third-party mobile applications.

Connect with Div onLinkedIn and check out AGI on X.

Congrats to Great Question badge winnerhttps://www.google.com/search?q=https://stackoverflow.com/users/Nathan Fellman for winning the badge on their questionhttps://stackoverflow.com/questions/How does reverse debugging work?.

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Ryan chats with David Burns, Head of Developer Advocacy and Open Source at BrowserStack, about the value of professional skepticism in an AI-driven world, applying test-driven development to agentic engineering, and why fixing flaky tests comes down to managing application state.

Episode notes:

BrowserStack is a software testing platform where David heads up developer advocacy and the open source office.

Connect with David Burns onLinkedIn to check out his podcast, BrowserStack Talks.

Congrats to Populist badge winnerhttps://stackoverflow.com/brentvatne for winning the badge on their answer to Read app.json (or exp.json) programmatically.

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SPONSORED BY SLACK BY SALESFORCE

In this episode, Ryan chats with the GM of Slack, Rob Seaman, about how their new Code Channels feature is bringing multiplayer AI to your team chats. They discuss how most interactions with coding agents become siloed context, why a party chat with devs and agents flattens writing code and code review into a single step, and why a Slack channel might be a better dev environment than a terminal.

Episode notes:

Check out the article Rob mentioned: Learning on the shop floor.

If you want to code multiplayer, check out Code Channels.

Connect with Rob by email at rseaman@slack-corp.com, on LinkedIn, or Twitter.

Congrats to Populist badge winner petro.sidlovskyy for dropping a great answer on What's the best way to ensure a base class's static constructor is called?.

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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.

Episode notes:https://www.amd.com/en/products/software/rocm.html

ROCm is AMD's unified, open-source software layer and toolchain that allows developers to program on AMD's hardware accelerators.

Connect with Anush onX.

Congrats to Populist badge winnerhttps://www.google.com/search?q=https://stackoverflow.com/search%253Fq%253Duser:BlitzBlitz for winning the badge on their answer toIs there a way to view your apps dot entitlements file from your app’s IPA archive?.

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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.

Episode notes:

O'Reilly Media is a technology transfer company that leverages books, online learning platforms, and their new O'Reilly Expert Intelligence tool to shape both human and agentic learning.

Connect with Tim on X and read his Substacks, Conversations with AI and Asimov's Addendum.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

Episode notes:

The AI Innovation and Law program at theUniversity of Texas School of Law explores the complex legal and policy questions surrounding artificial intelligence, which Kevin also covers on his own podcast,Scaling Laws.

This episode was recorded at the Ai4 conference. Listen to our other Ai4 conversation with Paypal’s Srini Venkatesan and Zscaler’s Sam Curry.

Connect with Kevin onLinkedIn andX.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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 vulnerabilities AI does discover.

Episode notes:

Zscaler is a cybersecurity company that provides cloud-based security solutions, zero trust architecture, and TLS inspection to help organizations securely operate in multi-tenant environments.

This episode was recorded at the Ai4 conference. Listen to our other Ai4 conversation with Anaconda’s Greg Jennings and Paypal’s Srini Venkatesan.

Connect with Sam Curry onLinkedIn or reach out via email at sam@zscaler.com.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SPONSORED BY IBM

Ryan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. They talk about why the long history of Java both makes for a stable language and a source of training data for AI. On top of that, they discuss how agentic Java excels by working with powerful partners: a massive ecosystem of Java libraries and agentic harnesses.

Try out Bob, IBM’s coding agent that Markus talked about in the episode.

Connect with Markus on

Congrats to Populist badge winner, Alex K, whose answer to ffmpeg usage to encode a video to H264 codec format outshined the accepted answer.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode notes:

This episode with Paypal’s CTO Srini Venkatesan was recorded at the Ai4 conference.

Listen to our other Ai4 conversation with Greg Jennings, VP of Engineering for AI Products at Anaconda, about building secure-by-default AI coding agents here.

Connect with Srini on LinkedIn.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

Episode notes:

Anaconda is a foundational platform for Python data science and machine learning, providing secure software supply chain governance and enterprise AI infrastructure.

Connect with Greg on LinkedIn and X.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.