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|InfoQ's podcasts are interviews with the software architects, senior engineers, and team leaders who build and operate production systems. Episodes work through the tradeoffs behind real decisions in software architecture, AI and ML engineering, and engineering culture. Guests are practitioners and QCon speakers describing what worked and what broke in systems they built.
Interviews with the software architects and senior engineers who build and run production systems. Each episode works through the tradeoffs behind a real decision in architecture, AI engineering, and development.
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In this podcast Michael Stiefel spoke to Lorin Hochstein about how real-world failures provide insight into how software systems actually work. Our first topic was understanding that while automated fault injection tools can introduce basic robustness into a system, they cannot replicate the understanding that comes from mitigating complicated software failures in the real world.
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In this episode, Shweta Vohra and Joseph Stein explore what changes when software systems start planning, acting, and making decisions on their own. The conversation distinguishes truly agentic use cases from traditional automation and looks at how architects and engineers should think about boundaries, orchestration, and system design in this new environment.
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Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission.
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In this episode, Thomas Betts and Sam McAfee discuss how AI hype is reshaping organizational behavior, why many companies struggle with experimentation, and how unclear decision structures create friction. They explore psychological safety and mindful leadership as essential foundations for healthier, more effective engineering cultures.
![Cover image for [Video Podcast] AI Autonomy is Redefining Architecture: Boundaries Now Matter Most](https://imgopt.infoq.com/fit-in/200x200/filters:quality(80)/podcasts/redefining-architecture-boundaries-matter-most/en/mediumimage/jesper-lowgren-interviewee-1771940976745.jpeg)
This conversation explores why generative AI is not just another automation layer but a shift into autonomy. The key idea is that we cannot retrofit AI into old procedural workflows and expect it to behave. Once autonomy is introduced, systems will drift, show emergent behaviour, and act in ways we did not explicitly script.
Conversations on building intentional engineering culture: team dynamics, leadership, and software management. For engineering leaders, managers, and the developers they support.
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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.
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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.
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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.
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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.
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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.
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