Heavybit Podcast Network: Master Feed

On episode 57 of Generationship, Rachel Chalmers sits down with Navneet Kaur, founder of FemTech India and TechThrive Ventures. Together they explore why women's health innovation must extend beyond Western markets, how AI is reshaping femtech, and what founders need to understand about trust, culture, and personalization when building global healthcare companies.

On episode 8 of Third Loop, the Progressive Delivery team sits down with Melinda Fekete to discuss FeatureOps, developer experience, and modern software delivery. The conversation covers feature flag lifecycles, runtime control, experimentation, chaos engineering, and why progressive delivery is becoming even more important in the age of AI-assisted development.

On episode 92 of o11ycast, Ray Myers joins Ken and Jess to explore how observability, reliability engineering, and formal software engineering practices are becoming even more important as AI coding agents take on larger roles in development. Rather than viewing AI as a replacement for established engineering disciplines, Ray argues that techniques like continuous delivery, testing, specifications, and formal verification provide the confidence needed to safely harness AI-generated code.

On episode 2 of Lab Notes, Amir Zohrenejad sits down with Hanchen Li to explore the systems that make modern AI agents faster, more efficient, and better at learning from experience. They discuss KV Cache optimization, long-context inference, prompt learning, continual learning, and why better benchmarks may be just as important as larger models in advancing AI research.

On episode 40 of Open Source Ready, Brian Douglas and John McBride sit down with Orhun Parmaksiz to explore Ratty, his experimental GPU-rendered terminal emulator that combines traditional command-line workflows with interactive 3D graphics. They discuss the future of terminal user interfaces, how AI is accelerating developer tooling, and what recent supply chain attacks on Arch Linux reveal about the evolving security landscape for open source software.

On episode 7 of Third Loop, the Progressive Delivery team speaks with Nathen Harvey about the intersection of AI, DevOps, and user-centric software development. Together, they examine what DORA's research reveals about high-performing teams, why shipping faster doesn't automatically create more value, and how organizations can build stronger feedback loops with users. Along the way, they discuss agentic systems, platform engineering, and even AI-powered kitchen appliances.

On this debut episode of Lab Notes, Amir Zohrenejad is joined by Ren Wang, a researcher and PhD student at UC Berkeley, to explore the state of physical AI and why robotics has progressed differently from large language models. They discuss data scarcity, world models, simulation, dexterity, and the challenges of building robots that can reliably operate in the real world.

On episode 39 of Open Source Ready, Brian Douglas and John McBride speak with Zach Smith, creator of Kplane, about rethinking Kubernetes for an AI-driven future. Zach explains how virtualized control planes could enable isolated cluster experiences at massive scale, while the conversation explores developer experience, AI tooling, and the possibility that future AI agents may each require their own cloud.

On episode 56 of Generationship, Rachel Chalmers sits down with Mark Brocato, founder of Mockaroo and creator of Fabricate, to explore the evolution of synthetic data in the age of AI. Mark shares how a simple internal QA tool grew into one of the most widely used synthetic data platforms and discusses how agentic AI is transforming software development, testing, and data generation.

On episode 13 of Data Renegades, CL Kao sits down with Josh Wills to explore how AI agents are reshaping software engineering, data science, and data infrastructure. They discuss verification, benchmarking, pre-training data pipelines, multimodal AI, and why understanding a problem may matter more than writing code. Josh also shares lessons learned from decades of building large-scale data systems and his journey from management back to hands-on engineering.

On episode 6 of Third Loop, Kim Harrison, Adam Zimman, James Governor, and Heidi Waterhouse sit down with Betty Junod. Together, they explore how agentic coding tools are enabling non-developers to build software for themselves, creating a world where the ideal customer profile might be just one person. They discuss personalization, Progressive Delivery, open source, and what happens when users become builders.

On episode 53 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Anurag Goel. Anurag shares his journey from early employee at Stripe to founder and CEO of Render, one of the fastest-growing application platforms in cloud infrastructure. They discuss Kubernetes, platform engineering, bare metal, AI agents, and what the future of application deployment looks like.

On episode 91 of o11ycast, Ken Rimple and Jess Kerr sit down with Janaki Vivrekar. Janaki shares how Amplitude is building AI-powered analytics agents, why evaluation frameworks are becoming essential to AI product development, and how teams can use observability techniques to improve agent performance over time. The conversation explores eval-driven development, production feedback loops, and the challenges of helping AI systems reason about complex business data.

On episode 52 of The Kubelist Podcast, Marc Campbell and Benjie De Groot speak with Hugo Santos. They discuss the evolution of Namespace Labs, why traditional cloud infrastructure isn't always optimized for developer workflows, and what it takes to build a vertically integrated platform for builds, testing, and developer productivity. Hugo also shares lessons learned from nearly a decade at Google and years of startup building.

On episode 38 of Open Source Ready, Brian Douglas and John McBride speak with Graham Christensen, CEO of Determinate Systems, about the evolution of the Nix ecosystem and why more organizations are embracing reproducible infrastructure. They discuss secure package management, enterprise adoption challenges, open source business models, and how AI tooling is rapidly reshaping software engineering workflows.

On episode 12 of Data Renegades, CL Kao sits down with Maxime Beauchemin to explore what happens when software teams start working alongside armies of AI agents. Max shares the thinking behind Agor, his collaborative platform for orchestrating coding agents, and reflects on how AI is reshaping engineering, product, design, and data work. They also dive into the future of agentic workflows, technical collaboration, and what human roles may look like in the years ahead.

On episode 5 of Third Loop, Heidi Waterhouse, James Governor, Adam Zimman, and Kim Harrison dig into the hype around AI-generated code and ask a deceptively simple question: if code is “free,” what does it actually cost? From token pricing and maintenance overhead to user value and developer judgment, they explore why software is never quite as cheap as it seems.

On episode 55 of Generationship, Rachel Chalmers sits down with Sunil Dhaliwal to explore how AI is reshaping developer infrastructure, venture investing, and computational biology. Sunil reflects on building Amplify Partners during the rise of cloud computing, why the best technical founders “live the problem,” and where he sees the next generation of AI tooling emerging. The conversation also dives into personalized medicine, AI infrastructure consolidation, and what remains fundamentally human about investing.

On episode 51 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Kyle Galbraith. Kyle shares the story behind Depot and explains how the company evolved from accelerating Docker builds into building an entirely new CI platform designed for the AI era. The conversation explores BuildKit internals, remote caching, microVMs, AWS infrastructure, and why modern software development may require rethinking CI from the ground up.

On episode 10 of High Leverage, Joe Ruscio sits down with Steve Krouse to discuss the rapidly evolving relationship between AI and programming. Steve shares lessons from building Val Town at the center of the AI tooling wave, why he believes better abstractions will define the future of software, and how engineers can avoid becoming passive operators in an increasingly agent-driven world.

On episode 37 of Open Source Ready, Brian and John speak with Stormy Peters about the evolving relationship between AI and open source software. Together, they unpack the growing challenges maintainers face, why traditional “good first issues” may be disappearing, and how AI tools are changing the way developers contribute to projects. They also discuss open-weight models, inference costs, and why community health still matters more than lines of code.

On episode 90 of o11ycast, Ken Rimple and Jessica “Jess” Kerr speak with Cory Ondrejka. Together, they unpack the rise of agentic AI, the shifting identity of software engineers, and the growing importance of measuring real-world impact. Cory shares his concept of Outcome Engineering and how teams can adapt to a world where building is fast but validation is everything.Come find the Honeycomb team at O11yCon on May 21st!https://events.honeycomb.io/o11yConSF2026Use discount code SFCast2026 for 20% off

On episode 4 of Third Loop, Elisabeth Hendrickson and Joel Tosi join the hosts to discuss systems thinking, software delivery, and why organizations often solve the wrong problems. They explore their upcoming book Signals and Levers, unpacking the CREATE framework and the illusions of progress, predictability, and control. The conversation also dives into AI, user trust, feedback loops, and what it really means to improve delivery.

On episode 9 of High Leverage, Joe Ruscio sits down with Simon Willison to unpack the rapid evolution of AI coding tools and what they mean for software development. They explore the shift from vibe coding to agentic engineering, how coding agents are reshaping workflows, and why experience still matters. The conversation dives into trust, security, and what breaks when code becomes cheap.

On episode 11 of Data Renegades, CL Kao sits down with Michael Stonebraker, legendary database pioneer and creator of Ingres and Postgres. They explore the origins of modern relational databases, why specialized systems outperform one-size-fits-all platforms, and what today's AI hype gets wrong about enterprise data. Stonebraker also shares hard-earned lessons on startups, research, and staying relevant over five decades in tech.

On episode 8 of High Leverage, Joe Ruscio sits down with Scott Hanselman for a conversation that goes far beyond prompts and productivity gains. They talk about craftsmanship, learning by doing, the long-term talent pipeline for engineering teams, and how AI could either free people to do more meaningful work or simply accelerate existing inefficiencies. From pair programming to Star Trek economics, this episode examines the bigger human questions behind the current AI boom.

On episode 36 of Open Source Ready, Brian Douglas and John McBride sit down with Jesse Vincent. They explore how Jesse's Superpowers project turns AI coding tools into structured, reliable development systems. The conversation dives into agent orchestration, prompt engineering, and what it takes to make AI behave like a capable software engineer.

In this episode, the hosts unpack the thinking behind the name Third Loop and what it represents. Building on ideas from their book Progressive Delivery, they explore the gap between shipping software and having it truly adopted by users. The conversation dives into feedback loops, user agency, and why modern software requires a closer relationship between builders and consumers.

On episode 54 of Generationship, Rachel Chalmers sits down with Vishakha Gupta to explore the hidden infrastructure challenges behind modern AI. They unpack why multimodal data systems are still fragmented, how graph and vector approaches can be unified, and what it takes to build production-ready AI pipelines. This conversation offers a systems-level perspective on scaling AI beyond prototypes.

On episode 50 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Ivan Burazin to explore the rise of sandbox environments for AI agents, how Daytona enables instant, stateful compute, and why traditional infrastructure models fall short. Ivan also shares lessons from building early cloud IDEs and finding product-market fit in the AI era.

On episode 89 of o11ycast, Ken Rimple and Charity Majors are joined by Bryan Cantrill. They dive into the origins of observability, the realities behind AI productivity gains, and the tension between cloud convenience and infrastructure control. The discussion highlights how major tech shifts often look obvious only in hindsight.

On episode 10 of Data Renegades, CL Kao and Dori Wilson sit down with Toby Mao. They explore how real-world data problems at Netflix and Airbnb led to the creation of SQLGlot and SQLMesh, and why data modeling remains the hardest challenge in data engineering. The conversation also dives into how AI is reshaping engineering workflows, without replacing the need for strong architectural thinking.

On episode 2 of Third Loop, Kim, Heidi, and Adam sit down with Kent Beck. They explore how Progressive Delivery extends ideas from Agile and Extreme Programming by focusing on safer releases, feature flags, reversibility, and observability in production. The conversation also dives into AI-assisted coding, experimentation, and what it takes to ship software users can actually trust.

On episode 34 of Open Source Ready, Brian Douglas and John McBride sit down with Sunil Dhaliwal to explore how AI is reshaping open source and startup building. They discuss why technical founders still have an edge, how taste is becoming a critical differentiator, and what it takes to find product-market fit in a world of abundant software. The conversation also dives into monetization challenges and the evolving role of open source.

On episode 53 of Generationship, Rachel Chalmers sits down with Dr. Mehdi Nourbakhsh to explore how artificial intelligence is transforming the physical and digital worlds. They discuss the origins of generative design, why many AI initiatives fail inside organizations, and how leaders can move beyond experimentation toward real adoption. Mehdi also shares practical enterprise AI use cases and his perspective on how AI can augment human decision-making.

On episode 33 of Open Source Ready, Brian Douglas and John McBride sit down with James Strong and Marco Ebert. They discuss the retirement of Ingress NGINX, one of the most widely used Kubernetes ingress controllers, and the factors that led to its deprecation. The conversation explores maintainer burnout, major security vulnerabilities like IngressNightmare, and the ecosystem's shift toward Gateway API.

In this debut episode of Third Loop, James Governor, Kim Harrison, Heidi Waterhouse, and Adam Zimman explore how the concept of Progressive Delivery emerged from real-world frustrations with how the industry talked about shipping software. Drawing on experiences from companies like GitHub and LaunchDarkly, they explain how practices like feature flags, experimentation, and observability came together to form a new delivery model. The conversation also sets the stage for the podcast's broader mission: examining technology through the perspectives of builders, users, and observers.

On episode 7 of High Leverage, Joe Ruscio sits down with Peter Bell to explore how the CTO role evolves from early-stage founder to enterprise leader. They unpack what it really takes to scale AI adoption across an engineering organization, and why simply buying tools isn't enough. The conversation dives into agentic software development, observability, context engineering, and what happens when production code is generated without direct human review.

On episode 49 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Felipe Huici to explore how unikernels are reshaping modern cloud infrastructure. They discuss virtualization, containers, and how Unikraft enables millisecond startup times and massive workload density. The conversation dives deep into performance engineering, Kubernetes integration, and the infrastructure challenges emerging in the AI era.

On episode 9 of Data Renegades, CL Kao and Dori Wilson sit down with Wes McKinney, creator of Pandas and co-creator of Apache Arrow. They explore how AI coding agents are reshaping software development, why data infrastructure remains surprisingly resistant to automation, and what semantic layers mean for the future of analytics. Wes also shares bold predictions about “radical accountability” in software and the changing bar for startups.

On episode 32 of Open Source Ready, Brian Douglas and John McBride sit down with Glauber Costa to explore Turso, a Rust-based rewrite of SQLite built for the AI era. They discuss database reliability, open source licensing, and why embedded databases are becoming critical infrastructure for modern agents and applications. The conversation also dives into AI-assisted development and the future of software engineering.

On episode 52 of Generationship, Rachel Chalmers sits down with Piyush Agarwal to explore how developer behavior reveals far more about buying intent than traditional sales signals. They discuss why most dev tool GTM strategies fail, how to distinguish curiosity from real demand, and what it takes to engage developers at exactly the right moment.