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 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 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.