Heavybit Podcast Network: Master Feed

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.

On episode 8 of Data Renegades, CL Kao and Dori Wilson sit down with Scott Breitenother to explore how AI is reshaping the modern data stack and redefining the role of data teams. They discuss the evolution from spreadsheets to autonomous agents, the realities of data democratization, and why future workflows may revolve around one human working alongside multiple AI assistants. The conversation blends practical lessons from building Brooklyn Data and Kilo Code with forward-looking predictions about the next wave of data tooling.

In episode 31 of Open Source Ready, Brian and John sit down with Matthaus Krzykowski, Thierry Jean, and Elvis Kahoro to explore how dlt and dltHub are changing the way developers build data pipelines. The conversation dives into DuckDB, LLM-driven workflows, and the growing shift toward developer-first data engineering. They also discuss open source adoption, AI orchestration, and what it means to be a “10x engineer” in 2026.

On episode 7 of Data Renegades, CL Kao and Dori Wilson sit down with Bryan Bischof to explore his journey from pure mathematics to building real-world ML systems. They dig into recommender systems, surprising data bugs, and why truth-seeking should guide data teams. The conversation also covers modern data tools, visualization limits, and the realities of “self-serve” analytics.

On episode 30 of Open Source Ready, Brian Douglas and John McBride sit down with Felipe Huici to explore Unikraft and the growing role of unikernels in modern cloud infrastructure. They discuss how unikernels differ from containers and traditional virtual machines, why millisecond startup times matter, and how Unikraft enables secure, scale-to-zero workloads. The conversation also touches on Kubernetes integration, open source governance, and where cloud isolation is headed next.

On episode 6 of High Leverage, Joe Ruscio sits down with Carl Lerche, Principal Engineer at AWS and creator of Tokio. Carl shares his journey from Ruby and Rails into Rust, and explains why memory safety, fearless concurrency, and async runtimes matter for modern infrastructure. The conversation dives deep into the origins of Tokio, lessons from building foundational open source software, and how Rust's guarantees are shaping the future of systems engineering.

On episode 51 of Generationship, Rachel Chalmers sits down with Soya Park of Akify to explore why an organization's most valuable knowledge rarely makes it into formal systems. They discuss how leaders make excellent decisions every day without realizing it, and how AI can surface, reinforce, and scale those best practices without disrupting existing workflows.

On episode 29 of Open Source Ready, Brian Douglas and John McBride sit down with Cameron Foxly to talk about ASCII Motion, an open source tool for creating animated ASCII art. Cameron shares how a brand design challenge at GitHub led to his first open source project and how AI tools helped him move from idea to production quickly. The conversation explores developer delight, terminal design, and why taste still matters in an AI-powered world.

On episode 88 of o11ycast, Ken Rimple and Jessica Kerr speak with Charity Majors about the shifting role of observability in modern software development. From AI-assisted instrumentation to reducing developer cognitive load, the episode examines how teams can move from reactive monitoring to continuous learning. It's a deep dive into observability as a sense-making practice, not just a tooling problem.

On episode 6 of Data Renegades, CL Kao and Dori Wilson speak with Roger Magoulas about the real bottlenecks holding data organizations back. From the origins of “big data” to today's explosion of tools and pipelines, the conversation focuses on why understanding, semantics, and communication matter more than ever. The episode is a call to shift from constant firefighting toward curiosity-driven insight.

On episode 5 of Data Renegades, CL Kao and Dori Wilson sit down with Benn Stancil to explore how data tools evolve, and sometimes lose their identity. Benn shares lessons from building Mode, the risks of drifting from an opinionated product vision, and why most companies struggle to turn data into meaningful decisions. The conversation also dives into the future of BI in a world increasingly shaped by AI and unstructured data.

On episode 48 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Justin Cappos, professor at NYU and a pioneer in software supply chain security. They explore the origins of modern package manager security, the real-world limits of SBOMs, and why systems should be designed assuming compromise. The conversation spans CNCF governance, in-toto, TUF, Git security, and the emerging role of AI in securing software.

On episode 87 of o11ycast, Ken Rimple and Jessica Kerr sit down with Lada Kesseler to explore how experienced engineers can work effectively with AI coding assistants. They discuss why AI feels like a fast, noisy black box, and how patterns like semantic zooming, feedback loops, testing, and observability can help developers stay in control. This episode is a deep dive into using AI without sacrificing clarity, quality, or trust.

On episode 28 of Open Source Ready, Brian Douglas and John McBride reflect on the biggest themes that shaped open source and AI in 2025. From sustainability and security to MCPs, agents, and infrastructure, they revisit key conversations with guests and unpack how the industry evolved over the year. The episode closes with bold predictions for what 2026 may bring for developers, maintainers, and open source communities.

In episode 50 of Generationship, Rachel Chalmers sits down with Joshua McKenty to unpack how AI-driven scams, deepfakes, and identity fraud are already reshaping our digital lives. From scam factories and nation-state actors to broken trust infrastructure, Josh explains why authenticity is the core problem, and what it will take to fix it. The conversation spans cybersecurity, public policy, and the future of human trust in an AI-saturated world.

On episode 27 of Open Source Ready, Brian Douglas and John McBride speak with Adam Hevenor, creator of Vibecheck. Together they explore the fundamentals of evals, how teams can run structured experiments across model variations, and why cost-efficient design matters more than ever. Adam also offers grounded perspectives on MCP adoption, Claude Skills, and the economics shaping today's AI tooling ecosystem.

On episode 49 of Generationship, Rachel Chalmers sits down with Denise Koessler Gosnell and Kathryn Erickson to unpack their new book Tech Confidential. Together they explore burnout, leadership, motivation, and the surprising ways our emotional wiring shapes tech culture. It's a candid, deeply human conversation about transforming toxic systems into something resilient, sustainable, and even joyful.

In episode 4 of Data Renegades, CL Kao and Dori Wilson sit down with Micah Wylde. They trace his journey from building fraud detection at Sift Science to architecting massive real-time systems at Lyft and ultimately founding Arroyo. In this conversation, Micah breaks down the real complexity of streaming systems, why schema evolution is still the hardest challenge in data, and where the industry might move over the next five years.

In episode 48 of Generationship, Rachel Chalmers speaks with Sarah Novotny. They dig into why AI models fall short of true creativity, how the tech industry drifted into extractive incentives, and what real security and accountability might look like at scale. Sarah highlights lessons from Kubernetes, open source ecosystems, and political science to propose a more trustworthy technological future.

On episode 3 of Data Renegades, CL Kao and Dori Wilson sit down with Maxime Beauchemin. They explore the origins of Airflow and Superset, the evolution of open source in the data ecosystem, and how today's tooling reshapes the role of the data practitioner. Max also shares a forward-looking perspective on agentic workflows and how AI is accelerating everything from BI to pipeline development.

In episode 2 of Data Renegades, CL Kao and Dori Wilson speak with Simon Willison. Together they dive into the origins of Datasette, the evolution of data journalism, and the surprising ways open source tools shape global reporting. Simon also explains how LLM-based agents will redefine data cleaning, enrichment, and analysis. A must-listen for anyone building or scaling data teams.

In episode 26 of Open Source Ready, Brian Douglas and John McBride sit down with Quinn Slack. They explore how Sourcegraph built Amp, why unconstrained coding agents represent a major shift, and why AI economics make traditional SaaS pricing impossible. Quinn also breaks down the rise of open source models, the future of developer tooling, and why ads might be the key to making AI accessible to everyone.

In this debut episode of Data Renegades, CL Kao and Dori Wilson dive into the unconventional paths that led them into developer tools, civic tech, and machine learning systems. CL recounts his experience building early open source infrastructure, mobilizing communities through data transparency projects, and now shaping how we design software around LLMs. This episode sets the tone for the show's mission: celebrating builders who redefine the boundaries of what tools can do.

In episode 25 of Open Source Ready, Brian and John sit down with Rachel-Lee Nabors. They explore how AI agents are reshaping the web, from the decline of traditional browsers to the rise of agentic experiences powered by small language models and MCPs. Rachel-Lee explains why advertising models are collapsing and why the next web may depend on direct payments and open source innovation.

In episode 47 of Generationship, Rachel Chalmers chats with Dr. Milette Gillow and Sedinam Simpson, co-founders of The Tech Bros, about their mission to make tech more inclusive and inventive. They unpack lessons from their first accelerator cohort, debate the future of AI, and share what it takes to build confidence and community in an evolving industry.

In episode 24 of Open Source Ready, Brian Douglas and John McBride sit down with Ivan Burazin, CEO of Daytona, to explore how his company is building runtime infrastructure for AI agents. Ivan shares how Daytona pivoted from developer environments to powering the next wave of autonomous AI systems, and what it takes to make agents fast, secure, and scalable. They also discuss open source licensing, enterprise adoption, and dopamine-driven development.

In episode 46 of Generationship, Rachel Chalmers and Don Marti trace a thoughtful arc from the open source protests of the 1990s to today's AI-driven world. They explore how large language models blur truth and plausibility, debate ethics in benchmarking and market-based definitions of intelligence, and mourn the loss of the web's early democratizing promise. Don discusses sustainable open source ecosystems, AI tooling, and practical advice for new graduates navigating an AI-saturated job market.

In episode 86 of o11ycast, Ken Rimple and Jessica Kerr sit down with Amarilis Campos from Nubank. They explore how Brazil's largest digital bank uses observability to build resilience and autonomy at scale. Amarilis shares how Nubank's culture of “acting like owners, not renters” and its journey from metrics and logs to tracing with Honeycomb helped the company grow to over 100 million customers.

In episode 45 of Generationship, Rachel Chalmers speaks with Allegra Guinan of Lumiera about the trust dynamics and design ethics of voice-based AI. Together they explore how human tendencies to anthropomorphize voice systems can both build and erode trust, underscoring the need for responsible design and diverse perspectives.

In episode 23 of Open Source Ready, Brian Douglas and John McBride sit down with Davanum “Dims” Srinivas to discuss the health and future of the Kubernetes community. They explore how corporate changes impact open source contributions, the importance of onboarding programs, and the challenge of sustaining long-term contributors. Dims also shares insights into Kubernetes' evolving role in AI and GPU workloads. The discussion is equal parts career advice, technical insight, and open source storytelling.