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About this Podcast
Intended for architects and senior developers.
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Startup Software Architecture - You Never Really Throw it Away: a Conversation with David Gudeman
In this podcast, Michael Stiefel spoke with David Gudeman about software architecture for startups. The discussion starts by illuminating how to make decisions with imperfect information, and how uncertainty and ambiguity flow through all aspects of developing the architecture. This leads to analyzing how the architect must focus on both product strategy and technical decisions.
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2025 Key Trends: AI Workflows, Architectural Complexity, Sociotechnical Systems & Platform Products
In this end-of-year panel, the InfoQ podcast hosts reflect on AI’s impact on software delivery, the growing importance of sociotechnical systems, evolving cloud realities, and what 2026 may bring.
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Designing for Knowledge Flow with Diana Montalion
In this episode, Thomas Betts speaks with Diana Montalion about how architecture is designing for knowledge flow. The conversation covers the differences between knowledge stock and knowledge flow and the importance of a growth mindset. If you’re trying to find new ways to solve problems, you have to start by thinking in new ways.
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Architecture Modernization with Nick Tune
In this episode, Thomas Betts talks with Nick Tune, co-author of the book Architecture Modernization - Socio-Technical Alignment of Software, Strategy, and Structure. The discussion includes how to know if it makes sense to invest in an architecture modernization journey, how to get started, what benefits you can expect to achieve, and how to measure the improvements.
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Architecture Does Not Emerge - a Conversation with Tracy Bannon
In this podcast Michael Stiefel spoke to Tracy Bannon about what software architecture really is, and what an architect needs to be able to do. Bannon is a senior principal at MITRE. She sees herself as a passionate software architect and change agent who also puts out the Real Technologists podcast.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Founders, Friction, and Focus: Building Engineering Teams at Early-Stage Startups
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to David Gudeman about the unique culture of early-stage startup engineering, how founder personality quirks and premature process impositions can derail teams, and how engineers can build influence and make deliberate career choices without formal power.
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Culture & Methods Trends 2026: The Human Side of AI Engineering
This is the Engineering Culture Trends Report for 2026. Featuring a panel of QCon speakers and InfoQ contributors, they discussed AI adoption maturity and risk, the transformation of engineering team structures and roles, and the human dimensions of software development that must not be lost in 2026.
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Formal Methods for Every Engineer in an AI-Powered Future
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Gabriela Moreira about making formal methods accessible through the Quint specification language, how AI is dramatically lowering the barrier to entry for formal specification and model-based testing, and why defining correct system behaviour remains essential human work in an AI-driven world.
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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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