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About this Podcast
Intended for architects and senior developers.
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Will Agentic AI Bring Fantasia’s Sorcerer's Apprentice to Life?: A Conversation with Tracy Bannon
In this podcast, Michael Stiefel spoke to Tracy Bannon about the role of artificial intelligence in software and the attendant risks in the areas of security, software development, and society at large. While it might be reasonable to assume a certain amount of trust within a software ecosystem, the risks escalate when the boundary between two software ecosystems is crossed.
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From MCP and Vibe Coding to Harness Engineering: How AI Native Engineering Evolved in One Year
Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk.
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Context is the Key to the Agentic Architecture Revolution: a Conversation with Baruch Sadogursky
Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language.
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How SBOMs and Engineering Discipline Can Help You Avoid Trivy’s Compromise
Viktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry.
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[Video Podcast] Frictionless DevEx with Nicole Forsgren
In this episode, Thomas Betts talks with Dr. Nicole Forsgren, the author of Accelerate and one of the most prominent and important minds in DevOps and developer productivity. The conversation is about identifying and removing developer friction, the subject of her new book, Frictionless.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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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 Myth of 100% Utilization: The Neuroscience of Productive Teams
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Shannon Mason about optimizing team productivity by understanding the neuroscience behind cognitive load, distinguishing between beneficial "slack time" and detrimental "idle time", and how the pursuit of maximum utilization that leads to burnout and poor decision-making.
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Why Software Development Sucks And 7 Mental Models To Help Fix It
Shane Hastie, Lead Editor for Culture & Methods, spoke to Thanos Diacakis about how teams often struggle with software delivery. He proposes a shift in mental models and a four-step framework to systematically improve software development by focusing on bottlenecks, balancing different types of work beyond just feature delivery, and investing 20-30% of effort in improving how the team works.
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