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About this Podcast
Intended for architects and senior developers.
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Governance in the Age of AI: A Conversation with Sarah Wells
In this podcast, Michael Stiefel spoke to Sarah Wells about the relationship of governance to software architecture. Governance enables teams to work effectively by establishing procedures that minimize system complexity, improve security, and reduce repetitive tasks. Targeted checklists help engineers by reducing the stress over these procedures.
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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.
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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.
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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.
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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.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Craig McLuckie on Culture as a Team's Operating System in the AI Era
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Craig McLuckie, co-creator of Kubernetes and CEO of Stacklok, about the impact of AI coding tools on open source communities and engineering teams, designing deliberate organisational culture, and navigating evolving career paths for engineers in the age of AI.
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The AI Joy Gap: Why Some Developers Thrive While Others Struggle
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Michael Parker, VP of Engineering at TurinTech AI, about bringing joy back to software development in the AI era, the emerging role of "factory architects" who orchestrate AI agents rather than write code directly, and the cultural divide between AI hype and the reality developers face on legacy codebases.
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Tiger Teams, Evals and Agents: The New AI Engineering Playbook
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Sam Bhagwat, co-founder and CEO of Mastra, about building and sustaining open source communities, the emerging discipline of AI engineering and evals, and how cross-functional Tiger Teams are key to shipping agentic applications.
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Beyond Code: How Engineers Need to Evolve in the AI Era
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Ben Greene about embracing AI in software engineering, expanding beyond pure technical skills to understand business context, and prioritizing human empathy in increasingly automated systems.
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Effective Mentorship and Remote Team Culture with Gilad Shoham
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gilad Shoham about building effective mentorship relationships, leading fully distributed teams and the evolving role of developers in an AI-augmented future.
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