InfoQ Homepage Agile Content on InfoQ
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The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes
Asgaut Mjølne Söderbom and Ola Hast discuss the evolution of their software engineering practices past continuous deployment and pair engineering. The conversation continues where it left off in the previous episode and focuses on the experiments in adopting Claude Code and the reasons why they consider it good for everything else, but not coding.
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Cloud and DevOps InfoQ Trends Report 2026: AI, Resilience, Platforms, FinOps, and Sovereignty
In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report. These reports provide InfoQ readers with a high-level overview of key topics to watch. This podcast offers a chance to hear our raw conversation and the stories shared by our expert practitioners.
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Requirements Analysis for Architects: a Conversation with Sonya Natanzon
Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements.
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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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[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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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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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.