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  1. You need reliable AI context for your site reliability

    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 re

  2. Partnerships can keep open source sustainable

    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

  3. The future of development is full-stack

    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 enterpri

  4. Developers who move fast still need to do it together

    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 decis

  5. Your AI is only as responsible as you are

    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

  6. Building more than just an agent harness

    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 deve

  7. What's left for infrastructure-as-code after AI moves in?

    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 mean

  8. Agent orchestration is so two-years ago

    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

  9. The good, the bad, and the AI apps

    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 protoc

  10. How do you turn AI coding chaos into a repeatable playbook?

    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. Viv

  11. Why intent prediction needs more than an LLM

    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”

  12. Code isn’t the only thing causing your production failures

    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 betwe

  13. Oh the places you’ll go with spatial data

    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 or

  14. You don’t understand DNS like you think you do

    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 configur

  15. If context is king, architecture is the castle

    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

  16. Developers are emotionally attached to their tools

    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; an

  17. When the cost of code approaches zero, what does engineering leadership look like?

    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 exp

  18. Creating checkpoints by gaslighting a Postgres database

    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

  19. Making the OWASP top ten in the vibe code era

    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 memo

  20. What it takes to be a player in the international AI game

    From the floor of HumanX, Ryan welcomes Songyee Yoon, managing partner at Principal Venture Partners (PVP), to chat about AI development outside the US, from the need to adapt models to local languages and culture to the challenges of the g

  21. The find out stage of AI is just supply chain and password protection

    In this two-for-one special recorded at HumanX, Ryan is joined by Dataiku’s Florian Douetteau to chat about the governance, orchestration, and data requirements for serious agentic systems and 1Password’s Nancy Wang for a conversation on ma

  22. Do you have what it takes to run AI in production?

    From the floor of HumanX, Ryan Donovan is joined by Peter Salanki, CTO and co-founder of CoreWeave, to chat about what it really takes to run AI in production; the growing importance of observability, utilization, and scheduling; and Peter’

  23. Breaking your AI storage bottlenecks

    Recorded at HumanX, Ryan sits down with Garima Kapoor and Anand Babu Periasamy, co-founders and co-CEOs of MinIO, to chat about eliminating the storage bottlenecks that leave GPUs underutilized, their partnership with NVIDIA on the new STX

  24. Pack your agentic stack in Slack

    SPONSORED BY SLACK BY SALESFORCE Ryan welcomes Jaime DeLanghe, chief product officer at Slack, to chat about how they’re preparing to integrate everybody’s agents in their chat application. They chat about the similarities between bots and

  25. Your fridge could be a threat to national security

    On the floor of HumanX, Ryan is joined by Adam Meyers, Senior VP of Counter Adversary Operations at Crowdstrike, for a deep dive on their latest Global Threat Report that tracks over 281 adversaries across nation states, e-crime, and hackti

  26. 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

  27. How Braze’s CTO is rethinking engineering for the agentic area

    Jon Hyman, co-founder and CTO of Braze, joins Stack Overflow CPTO Jody Bailey on Leaders of Code to share 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

  28. 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 G

  29. 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 f

  30. What (un)exactly do you mean by semantic search?

    Ryan welcomes Bryan O’Grady, Head of Field Research and Solutions Architecture at Qdrant, to discuss the differences between traditional text search engines powered by Lucene and modern vector databases, when vector search’s exact-match nee

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