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About this Podcast
Intended for architects and senior developers.
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Is WebAssembly the Secure, Efficient Alternative Everybody was Waiting for?
Laurent Doguin and Geoffroy Couprie discuss their pioneering work with Wasm on the infrastructure side. They walk us through the benefits and challenges of building a platform over WebAssembly and why it’s the safer alternative to containers.
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Continuous Deployment and Pair Programming for Lean Software Delivery Even without Jira
Asgaut Mjølne Söderbom and Ola Hast, two developers with Sparebank1, speak about their journey towards continuous deployment and pair programming. During the conversation, they share how they use the "waste clock" to identify areas of improvement or how TDD helps them deliver high-quality code.
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Sovereign Clouds, Hyperscalers and European Alternatives: InfoQ Dev Summit Munich 2025 Preview
In this podcast episode, speakers from the upcoming InfoQ Dev Summit Munich 2025 tackle the practical challenges facing European developers caught between regulatory pressures and technological realities. The panel discusses trade-offs between using US cloud providers versus emerging European alternatives, exploring cloud-agnostic architecture strategies and the implications of data sovereignty.
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The Financial Architecture of Software with Ian Miell
In this episode, Thomas Betts speaks with Ian Miell about how the financial aspects of a business affect how software is designed and built. If Conway’s Law says organizational structures determine the software design, then following the money helps us understand why those organization structures exist, and ultimately whether software will be successful in achieving its goals.
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Microfrontends: Heuristics, Patterns and Antipatterns by Luca Mezzalira
Luca Mezzalira, a pioneer and enthusiast of microfrontends, discusses the microfrontends' evolution over the past years, underlying a set of heuristics that will allow you to gradually implement them in your product. He also touches on approaches to obtain quick feedback, both in your inner and outer development loops.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Building Empathy and Accessibility: Fostering Better Engineering Cultures and Developer Experiences
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Erin Doyle about her journey as a generalist engineer, her passion for web accessibility, the importance of empathy and psychological safety in engineering teams, and her commitment to building better developer experiences by fostering collaboration, continuous learning, and vulnerability among technical professionals.
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Taming Flaky Tests: Trisha Gee on Developer Productivity and Testing Best Practices
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke with Trisha Gee about the challenges and importance of addressing flaky tests, their impact on developer productivity and morale, best practices for testing, and broader concepts of measuring and improving developer productivity.
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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.
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Building Your Personal Brand and Making an Impact: Insights from Principal Engineer Pablo Fredrikson
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Pablo Fredrikson, a principal engineer at Bitso, about the importance of building a personal brand, sharing knowledge, and helping others in the tech industry.
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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.
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