Podcasts

How eBPF Empowers Developers to Observe inside the Linux Kernel in a Safe and Unintrusive Way

Daniel Finneran explores how eBPF has evolved far beyond its roots in packet filtering into a robust, safe way to extend the Linux kernel. He explains how the eBPF "verifier", the security guardrail, enables implementation of deep observability and networking without the risks of traditional kernel modules or the slow upstreaming process.

Increasing Users' Data Agency: from BlueSky's AT Protocol to the Local-First Software Movement

Martin Kleppmann, an associate professor at Cambridge and author of Designing Data-Intensive Applications, discusses the evolution of data systems over the last decade, mainly the shift from monolithic databases to modular building blocks. Kleppmann underlines the importance of moving from cloud-centric data storage systems to decentralised data storage similar to Bluesky’s AT protocol.

From MCP and Vibe Coding to Harness Engineering: How AI Native Engineering Evolved in One Year

Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk.

Requirements Analysis for Architects: a Conversation with Sonya Natanzon

Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements.

Chasing Efficient Java Development: from 1BRC to Developing Hardwood AI Natively

Gunnar Morling, technologist at Confluent and Java Champion, shares his experiences with building high-performance applications in Java, especially in the data space. He shares insights from experiments with building durable execution engines, bootstrapping, and AI natively developing Apache Hardwood - a minimal dependencies Java parser for Apache Parquet.

Transforming Life Sciences: AI, Vibe Coding, and Drug Development Acceleration

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Satish Kothapalli about the transformative impact of AI and vibe coding in life sciences software development, the acceleration of drug development timelines, and the evolving roles of developers in an AI-augmented environment.

Authenticity Over Convention: Lessons from 16 Years of Solo Game Development

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Joe Cassavaugh about building a sustainable solopreneur game development business, the importance of authenticity over conventional wisdom, and learning from both successes and failures in the digital content marketplace.

AI Amplifies Team Strengths and Weaknesses in Software Development

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Jon Kern and Anita Zbieg about how AI amplifies both delivery efficiency and weaknesses in development teams, the importance of fundamental collaboration practices, and maintaining holistic system thinking.

From Technical Excellence to Leadership: Understanding Yourself First

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Frankie Berkoben about executive coaching for engineering leaders, applying iterative development to personal growth, and supporting neurodivergent team members.

Building Composable Teams: Moving Beyond Rigid Organizational Structures

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Luv Kapur about building composable team structures, creating trust through transparency and clarity, and enabling fluid organizational design through API-first team principles.