The Stack Overflow Podcast

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 on LinkedIn and X. Congrats to Populist badge winner Alex K. for winning the badge on their answer to SQL Server: Select Top 0?. 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 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 his website, on LinkedIn, or chat with him on the Rust Zulip. Congrats to Great Answer badge winner Germa Vinsmoke for winning the badge on their answer to Can I access variables from another file?. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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: 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 on LinkedIn and learn more on the Datadog website. Congrats to Great Answer badge winner insertusernamehere for winning the badge on their answer to How can I get a character array from a string?. 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 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 on LinkedIn and read her past articles on the Stack 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. 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 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: Skip Labs develops a programming language designed for reactive programming alongside specialized constraint-based tooling for AI agents. Connect with Julien Verlaguet on LinkedIn. Congrats to Populist badge winner s0nix for winning the badge on their answer to Git through Visual Studio Code is unusably slow. 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 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 on LinkedIn and check out AGI on X. Congrats to Great Question badge winner Nathan Fellman for winning the badge on their question How does reverse debugging work?. 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 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 on LinkedIn to check out his podcast, BrowserStack Talks. Congrats to Populist badge winner brentvatne for winning the badge on their answer to Read app.json (or exp.json) programmatically. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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?. 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 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: ROCm is AMD's unified, open-source software layer and toolchain that allows developers to program on AMD's hardware accelerators. Connect with Anush on X. Congrats to Populist badge winner Blitz for winning the badge on their answer to Is there a way to view your apps dot entitlements file from your app’s IPA archive?. 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 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 the University 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 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.

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 on LinkedIn 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.

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 compete with Windows NT, and how applets were initially just an interesting demo. Episode notes: Watch the new documentary by Cult.Repo on YouTube to learn more about the early history of Java and the people who built it. Connect with Tim Lindholm on LinkedIn. Shoutout to user gabuzo for winning a Populist badge for answering What is the standard method for generating a nonce in Python?. 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 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. Episode notes: Lean is a functional programming language and proof assistant that allows developers to write programs and verify their mathematical correctness within the exact same system. Connect with Leo on LinkedIn and check out his many badges on Stack Overflow. Congrats to Populist badge winner Peter Lawrey for winning the badge on their answer to Check two float/double values for exact equality. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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. Praveen explains why his team moved off GraphRAG in favor of a tree-structured memory for faster incremental updates and how they balance retrieval freshness, latency budgets, and access control at LinkedIn's scale. Connect with Praveen on LinkedIn. Congrats to Populist badge winner Luka Ganić, who answered SVG image as button in Flutter so well it outscored 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.

Andi Gutmans, head of Agentic Data Cloud at Google and co-creator of PHP, joins Leaders of Code to talk about why agentic development feels less like a break from the past and more like the next chapter of the same story. This is part one of a two-part conversation. In this episode, Eira May and Stack Overflow Director of Platform Engineering Peter O'Connor talk with Andi Gutmans about the throughline between democratizing web development with PHP and democratizing software development with agents today. Andi makes the case that every individual contributor is becoming “a team lead of agents” and walks through how that reshapes code review, interviewing, and the balance of human versus agent judgment. He also explains why he thinks the biggest bottleneck left isn't the models, but the challenge of getting an organization's data into a state where agents can actually reason over it. The discussion also: Covers how Google is changing its own interview process to evaluate how candidates reason with and guide agents, rather than how well they can hand-code a solution alone. Explores the "human in the loop, agent in the loop, agent on the loop" framework for deciding where review actually needs to happen — and why that's fundamentally a risk-management question, not a trust-in-AI question. Uses the Waymo safety-data-versus-perception gap as an analogy for why organizations (and individuals) sometimes resist agent autonomy even when the numbers favor it. Introduces Google's "borderless lakehouse" concept and the shift from human data stewardship to agent-driven ontology building. Notes: Connect with Andi Gutmans on LinkedIn. Connect with Peter O'Connor 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 welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase. Episode notes: You can learn more about Suneet’s five-agent SDLC (and see the companion code) on his GitHub. Read the papers discussed: Cross-Layer Observability for LLM-Assisted Test Automation: A Reference Architecture and Web Feasibility Study and Cross-Layer Observability for LLM-Assisted Test Automation — Reference Implementation and Evaluation Data (v1.5.2, JSS In-Practice). Connect with Suneet on LinkedIn and see more of his work on his website. Congrats to user Sanjay for winning a Great Question badge for asking What does it mean to fork on GitHub?. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Meryll Blanchet,  Director of Engineering for Adobe Brand Visibility, to chat about Adobe’s recent acquisition of Semrush, how Adobe Brand Visibility was born from Semrush’s AI visibility product and Adobe’s LLM Optimizer, and how Adobe used a three-day internal hackathon instead of a large-scale infrastructure integration to quickly deliver value to customers. Episode notes: Adobe Brand Visibility is a GEO software that helps companies improve their AI visibility, citations, and share of voice. You can preview the new product here. Connect with Meryll on LinkedIn. Congratulations to user patti_jane, who won a Stellar Question badge for asking Setting PATH environment variable in macOS permanently. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Coder’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills means for junior developers and the talent pipeline. Episode notes: Coder is a self-hosted platform that lets you securely run cloud development environments and AI coding agents on your own internal infrastructure. Connect with Rob on LinkedIn. Today’s shoutout goes to an Unsung Hero badge winner, user Red.Wave! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes McLaren Stanley, Senior Principal Engineer for Amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to build trust and enable “fearless commits.” Episode notes: You can learn more about how Amazon’s frontier teams became AI native on the AWS blog. Connect with McLaren on LinkedIn. Congrats to user o11c for winning a Populist badge for answering Pythonic way to count the number of trailing zeros in base 2. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn’t start by managing their Kubernetes and cloud infrastructure. They discuss how frustration with spinning up nodes at Stripes led him to build a company, a future where your application itself may allocate its own compute, and why DevOps jobs aren’t going anywhere. Episode notes Render calls itself the cloud for builders, intuitive infrastructure for scale. Connect with Anurag at anurag@render.com. Congrats to Populist badge winner Hovercraft Full Of Eels for bringing the knowledge to How can I disable System.out for speed in Java. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens—and what we should do—when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity. Episode notes: WP Engine hosts and manages over 5 million WordPress sites, combining enterprise-grade software, developer tools, and cutting-edge AI to support your website. Connect with Ramadass on LinkedIn or Twitter. Congrats to user Nama on winning a Famous Question badge for asking how to store the spinner values into database? See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by Asaf Savich, Komodor’s AI Engineering Group Manager, to discuss why modern reliability work requires navigating massive cross-service context, what good context engineering actually likes when AI is integrated into site reliability, and how the work of human SREs is shifting towards strategy and AI agent management. Episode notes: Komodor is an autonomous AI SRE platform designed to troubleshoot, manage, and optimize Kubernetes-based cloud-native infrastructure. Connect with Asaf on LinkedIn. Congrats to Populist badge winner joemaller, who won the badge for answering Is there a Python equivalent to the 'which' command. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes VoidZero’s Evan You and Cloudflare’s Dane Knecht back to the show to discuss Cloudflare’s recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare’s distributed systems are helping to improve developer experience in Vite and beyond. Episode notes: VoidZero is now officially a part of Cloudflare. You can read more about the recent acquisition here. Connect with Evan on LinkedIn and X. Check out Evan’s previous episodes on the pod for a deep dive on the evolutions of Vite and Vue.js. Connect with Dane on LinkedIn and X. Listen to Dane’s previous episode of Leaders of Code to learn how Cloudflare is building a better internet. Congrats to user Luis Sieira, who won a Stellar Answer badge for answering How to get the difference between two arrays in JavaScript?. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Live from Snowflake Summit, Ryan talks with Snowflake’s Head of Developer Experience Umesh Unnikrishnan about the industry-wide shift from “vibe coding” for quick prototypes to agentic engineering for enterprise-ready software, how enterprises can scale governance with guardrails like human-in-the-loop approval and control layers that go beyond the underlying LLM, and why Umesh predicts all developers will become someday become full-stack builders. Episode notes: This episode was recorded at Snowflake Summit. You can learn more about CoCo and Snowflake’s other new releases on their website. Connect with Umesh on LinkedIn or reach out to him at Umesh.Unnikrishnan@snowflake.com Vivek Raghunathan, SVP of engineering at Snowflake, also sat down this us at this year’s Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering. Listen to his episode of Leaders of Code. Our sixteenth Annual Developer Survey is now open and we want to hear your thoughts on all things software. Take the survey now! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

At MS Build, Ryan is joined by Cassidy Williams, Senior Director of Developer Advocacy at GitHub and former Stack Overflow Podcast host, to discuss how agentic coding is shifting dev work towards higher-level strategy while increasing decision fatigue; why human taste, community feedback, and mentorship are becoming more essential than ever for developer careers; and the new GitHub Copilot announcements coming out of Microsoft, including the new GitHub Copilot app. Episode notes: This episode was recorded at Microsoft Build. You can learn more about what they announced at the show and what’s new at GitHub here. Listen to our other episodes recorded at Build on agentic workflows and responsible AI. Connect with Cassidy 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.

Recorded at Microsoft Build, Ryan welcomes Sarah Bird, Microsoft’s Chief Product Officer for Responsible AI, about how we can build and use AI responsibly with the NIST approach, why most irresponsible AI comes from experimentation without thought of impact, and how Microsoft is researching thoughtful human/AI workflow design to reduce unnecessary escalation. Episode notes: This episode was recorded at Microsoft Build. Listen to our other episode recorded at Build on agentic workflows here. Connect with Sarah on LinkedIn. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Live from Microsoft Build, Ryan is joined by Jay Parikh, Microsoft’s VP of AI Core, for a conversation on what enterprises need to build, deploy, and run AI agents at scale with demonstrable ROI; how Microsoft built an end-to-end agent development system that goes past just the harness; and how you can evaluate for reliability and correctness in models that get more intelligent and autonomous everyday. Episode notes: This episode was recorded at Microsoft Build. Learn more about the announcement and news from Build, including Microsoft’s new GitHub app and Foundry platform, at the Microsoft blog. Connect with Jay on LinkedIn. 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 is joined by Rosemary Wang, Developer Advocate at IBM, to explore what infrastructure as code looks like once AI starts writing and deploying it. They discuss why guardrails still lag adoption, breaks down what it means when “anyone can deploy,” and why deep systems knowledge still matters. Episode notes: Try out Bob, IBM’s coding agent that Rosemary talked about in the episode. Connect with Rosemary on X, LinkedIn, or Bluesky. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Saahil Jain, CTO of You.com, to discuss why building agents with a 2024 mindset is a mistake as modern models improve at long-horizon tasks, why heavy orchestration layers can hurt model performance more than help it, and why the 2026 competitive edge actually comes from information retrieval and unique data paired with end-to-end evaluation. Episode notes: You.com is an AI-powered search and productivity engine helping enterprises find information, create content, and automate complex tasks using web search APIs, multi-model AI access, and agentic intelligence. Connect with Saahil on LinkedIn or reach out to him at  saahil@you.com. Today’s shoutout goes to user knittl for winning a Populist badge on their answer to Remove all null values. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Benny Chen, co-founder of Fireworks AI, to the show to explore what actually makes an AI application good or not, how to balance qualitative signals with quantitative metrics when evaluating AI, and how open-source eval protocols and community efforts are setting the standard for AI evaluation. Episode notes: Fireworks AI is a cloud platform designed for developers and enterprises to run, customize, and scale open-source generative AI models. Connect with Benny on LinkedIn. Congrats to user techtabu for winning a Stellar Answer badge for answering How can I delete all local Docker images?. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering. Vivek explains how Snowflake systematically rolled out coding agents across its engineering org — starting with unrestricted experimentation, then codifying what worked into a shared vocabulary of 14 "AI design patterns," from plan-in-English to fencing off parallel agents to reducing on-call toil through continuously updated skills. Vivek walks through the "inner loop" and "outer loop" of software development, explains Snowflake's internal Yegge scale for measuring how far engineers have progressed along that continuum, and shares how a three-person team used coding agents to deliver a 40x improvement on Snowflake's query compiler. The discussion also: Breaks down Snowflake's "focus weeks," where engineers get dedicated time to either catch up on best practices or push the frontier further. Explores the pioneers/settlers/skeptics framework for meeting engineers where they are in adopting AI tools, and why the shift can trigger something like the stages of grief. Covers how Snowflake cut release validation time from 15 days to a single day, and why more automated testing hasn't come at the cost of production stability. Looks ahead to a four-step maturity model for on-call and incident response, where agents may eventually take primary on-call duty. Connect with Vivek Raghunathan 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 sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private. Episode notes: Yobi is a behavioral AI company building foundation models that predict future behavior for ad tech, marketing, and more. Connect with Frank via fportman.com or at yobi.ai. Congrats to Hooked on winning a Populist badge for their answer to Removing whitespace around a saved image. 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 Anish Agarwal, CEO and co-founder of Traversal, to chat about why AI coding agents have made writing code easier but running it safely in production harder, why production failures are really caused by interactions between systems and not just the code itself, and how teams can troubleshoot more effectively when traditional observability tools are not enough for agentic AI workflows. Episode notes: Traversal is an AI-powered autonomous SRE for complex software systems with automatic triage alerts, root cause investigation, and incident prevention at petabyte scale. Connect with Anish on LinkedIn or reach out to him at  anish@traversal.com. Our sixteenth Annual Developer Survey is now open and we want to hear your thoughts on all things software. Take the survey now! Congrats to user aioobe on winning a Populist badge for their answer to Javascript a=b=c statements. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan is joined by  Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable  global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world. Episode notes: The Overture Maps Foundation is a free, open, and collaborative spatial data platform creating reliable and interoperable map data infrastructure. Microsoft is a founding member and part of Overture’s Steering committee. Connect with Amy on LinkedIn. Connect with Jeffrey on LinkedIn. Congrats to user Cesar Canassa for winning a Populist badge for their answer to Slicing a dictionary. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes Cricket Liu, DNS expert and Chief Evangelist at Infoblox, to the show to talk all things DNS. They cover the evolution of one of the oldest DNS server implementations, BIND, and what the future holds for protected DNS configurations; the realities of security threats like DDoS and DNS spoofing; and why outages often trace back to a lack of understanding of DNS’s fundamental role. Episode notes: Infoblox is a cloud-managed network services platform for core networking, combining automated infrastructure management and real-time threat intelligence. You think this is a lot about DNS? Cricket wrote several books about it. Connect with Cricket on LinkedIn or email him at  cricket@infoblox.com. Congrats to user Johannes Schaub - litb for winning a Populist badge for their answer to How do i check if a file is a regular file?. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Recorded live at the AI Agent Conference, Ryan sits down with Apollo GraphQL CEO Matt DeBerglis to discuss how enterprises can leverage GraphQL and MCP as a structured semantic architecture to feed clean data to autonomous agents, safeguard internal microservices against unprecedented "east-west" data exfiltration risks, and rein in skyrocketing token spend by explicitly querying only the exact context required. Episode notes: Apollo GraphQL lets you orchestrate APIs with a composable, declarative, self-service model. Apollo's MCP Server is now available. Connect with Matt 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 welcomes Trisha Gee, a Java champion and developer productivity advocate, to explore how AI is transforming the role of IDEs and the broader developer experience; the relevance of traditional tools, muscle memory, the risks of hype; and how to adapt workflows for AI-driven development. Episode notes: Trisha Gee is a developer advocate and Java champion with over 20 years of software experience. Connect with Trisha on LinkedIn and X. Congrats to user citelao for winning a Famous Question Badge for their question VS Code SSH keeps dropping connections, but I can SSH just fine. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode of Leaders of Code, Eric Anderson, director of engineering at Intuit, joins Stack Overflow engineering director Ben Matthews to talk about what happens to software teams when AI makes code generation seemingly free. Eric explains how Intuit rolled out Claude Code across the entire organization, why PMs are now merging their own PRs, and what it means for engineering culture when product/engineering roles start to converge. Eric and Ben unpack the engineering skills that matter most in an AI-first industry and why the work of developing junior talent has gotten harder. Eric also shares how he personally uses AI to manage his inbox, synthesize specs, and run promotion processes (but why he stopped letting it send emails on his behalf). Connect with Eric 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 welcomes Bryan Clark, director of product for Lakebase at Databricks, to discuss what happens when AI agents become the primary creators and users of databases; why agents are “sloppy” about cleaning up infrastructure; and how database branching, scale-to-zero, and centralized access control can help teams keep up with agent-driven development. Episode notes: Databricks Lakebase is a Postgres-compatible operational database built around fast branching, separated compute and storage, and tight integration with the Databricks lakehouse. Connect with Bryan on LinkedIn and X. Congrats to Populist badge winner Benjamin Merchin for earning the badge for their answer to JSX element class does not support attributes because it does not have a 'props' property.ts(2607). See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ryan welcomes back Tanya Janca, now part of the OWASP Top 10 team, to discuss what changed in the latest OWASP Top 10 release, how the list shifted from “outdated components” to a broader software supply chain focus, and why they added memory safety and vibe-coding as awareness items. Episode notes: The OWASP Top 10 for 2025 is the latest standard awareness document for developers and web application security that represents a broad consensus about the most critical security risks to web applications. Learn more about Tanya’s work at her website and her new podcast DevSec Station. You can learn how to prompt your AI for secure code with her prompt library. Read Tanya’s articles on our blog. Congrats to Populist badge winner Rob Kielty for winning the badge on their answer to How can I tell IntelliJ's "Find in Files" to ignore generated files?. TRANSCRIPT See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.