Ryan is joined by Tobiko Data co-founders Toby Mao and Iaroslav Zeigerman to talk about the crucial role of rigorous data practices and tooling, the innovations of Tobiko Data’s SQLMesh and SQLGlot, and their insights into the future of data engineering with the rise of AI.
It’s Java’s 30th anniversary! Ryan welcomes back Georges Saab, Senior VP of Development for the Java Platform Group and Chair of the OpenJDK Governing Board, to reflect on Java’s changes over the last five years.
Ryan and Ben welcome Tulsee Doshi and Logan Kilpatrick from Google's DeepMind to discuss the advanced capabilities of the new Gemini 2.5.
Will Wilson, CEO and co-founder of Antithesis, joins Ryan and Stack Overflow senior director of engineering Ben Matthews on the podcast to discuss deterministic simulation testing, the pitfalls of chaos testing in an AI-driven world, and how testing can help developers deal with technical debt.
Ryan welcomes Glen Coates, VP of Product at Shopify, to dive into the intricacies of managing a developer-focused product, the challenges of backwards compatibility, and the implications of AI and LLMs in Shopify's development environment.
Douwe Kiela, CEO and cofounder of Contextual AI, joins Ryan and Ben to explore the intricacies of retrieval-augmented generation (RAG). They discuss the early research Douwe did at Meta that jump started the whole thing, the challenges of hallucinations, and the significance of context windows in AI applications.
Matthew McCullough, VP of Product for Android Developer Experience, sits down with Ryan to talk advancements in Android development, enhancing developer efficiency and reducing routine toil, and the application of Gemini AI models to improve software toolchains.
Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering.
Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI.
Deepak Singh, VP of Developer Agents and Experiences at AWS, helps Ryan break down the hype around agentic AI in software development. They cover the definition and real-world functionality of AI agents, how developers can integrate them into existing workflows, and the importance of establishing guardrails to ensure trust and security in agentic AI.
Stack Overflow CEO Prashanth Chandrasekar sat down with Ryan at HumanX 2025 to talk about how Stack is integrating AI into its public platform, the enormous importance of a high-quality knowledge base in your AI journey, how AI tools are empowering junior developers to build better software, and much more.
Some high-level takeaways, with more to come.
How Diffblue leverages machine learning techniques to write effective unit tests.
Today’s guest is Logan Kilpatrick, a senior product manager at Google, who tells Ben about his journey from software engineering to machine learning to product management, all with an emphasis on reducing developer friction. They talk through the challenges of non-determinism in AI models and how Google is addressing these issues with a new feature: Grounding with Google Search. Plus, what working at the Apple Store taught Logan about product management.
Computer scientist Jean Yang, founder and CEO of monitoring and observability platform Akita, tells the home team how her drive to improve developer tooling led her from academia to Silicon Valley.
