InfoQ Homepage Leadership Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Mindful Leadership in the Age of AI
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.
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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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Effective Error Handling: a Uniform Strategy for Heterogeneous Distributed Systems
Jenish Shah, a back-end engineer focused on distributed systems at Netflix, provides more insights into how to handle failures in a distributed systems setup. He shares details on how he built a library that handles exceptions uniformly, regardless of the underlying communication protocol.
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2023 Year in Review: AI/LLMs, Tech Leadership, Platform Engineering, and Architecture + Data
In this special year-end wrap-up podcast Thomas Betts, Wes Reisz, Shane Hastie, Srini Penchikala, and Daniel Bryant reflect on technology trends in 2023 and discuss what they hope to see in 2024. Topics explored included: the use of AI and LLMs within software delivery, the changing role of technical leadership, and the increasing integration of software architecture and data engineering.
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Susanne Kaiser on DDD, Wardley Mapping, & Team Topologies
Susanne Kaiser is a software consultant working with teams on microservice adoption. Recently, she’s brought together Domain-Driven Design, Wardley Mapping, and Team Topologies into a conversation about helping teams adopt a fast flow of change. Today on the podcast, Wes Reisz speaks with Kaiser about why she feels these three approaches to dealing with software complexity are so complementary.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Signals and Levers: Building Thriving Engineering Organizations
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Elisabeth Hendrickson and Joel Tosi about systems thinking as a lens for software delivery, the cultural "levers" leaders and teams can pull to shape organizations, and building thriving, sustainable teams amid AI-driven change.
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Personality Over Skillset: How Adam Wachtel Builds Engineering Teams
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Wachtel, CTO at Click Boarding, about hiring for personality and problem-solving over pure skillset, turning around a platform and team in crisis, and how AI is reshaping team size and composition without ending SAAS.
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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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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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