Ep. #54, Human-like Memory with Vishakha Gupta

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.