Podcasts

From Java EE to Quarkus and LLMs: Adam Bien’s Playbook for Boring, Future‑Proof Systems

Adam Bien, an independent consultant and pioneer of zero dependencies in the enterprise world of Java, highlights the benefits of consistently using standards, regardless of whether they involve Java or existing patterns. He argues that by doing so, he managed to future-proof the systems he built, preparing them for the cloud era and even for the AI-Native era.

Roq: Leveraging Quarkus to Build Static Sites at the Speed of Go

Andy Damevin, a developer who worked on Quarkus for almost a decade, talks about Roq, a project that started as an experiment to try to see if it’s possible to build a static web site generator on top of quarkus. He touches on the rationale for choosing Java and Quarkus, how to migrate to Roq, and the platform's future.

A Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux Kernel

In this podcast, Jaromir Hamala, a seasoned Java engineer specialising in high-throughput data systems, shares his thoughts on how developers can tackle high-performance software development. He touches on the benefits of modern Java that allow writing idiomatic Java code while remaining "mechanically sympathetic", and also on his experience debugging a Linux kernel bug.

Engineering Stable, Secure and Scalable Platforms: a Conversation with Matthew Liste

In this podcast, Michael Stiefel spoke to Matthew Liste about building and managing software platforms. Platform services act as the basis for application development, and must always be stable, secure, and scalable. Scaling these systems is particularly difficult because unknown resource contention often causes them to break.

Context Engineering with Adi Polak

In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.

Adam Sandman on Generative AI and the Future of Software Testing

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Sandman about how generative AI is transforming software development and testing by automating mundane tasks, enabling faster prototyping, and collapsing traditional roles into broader generalist positions, while also highlighting challenges like increased defects and ethical concerns.

Claire Vo on Building High-Performing, Customer-Centric Teams in the Age of AI

In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Claire Vo, Chief Product and Technology Officer at LaunchDarkly, about building high-performing, customer-centric teams, fostering a culture of experimentation, and preparing for the future of AI-driven software development.

Investing in Open Source: The Open Source Pledge and Why it Matters

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Chad Whitacre about the Open Source Pledge, an initiative to encourage companies to financially support open-source maintainers to ensure the sustainability and security of the software they depend on. The goal is to address the social contract within open source, where companies benefit from freely available software.

Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.

Developer Experience Influenced by Open Source Culture

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Kyle Carberry about the importance of developer experience and how it is changing with the rise of tools like Copilot.