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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Erica Pisani, host of the Performance and Sustainability track at QCon London 2025, reflects on lessons from assembling the track and from attending the talks. She touches on the importance of the environmental and social aspects of software and hints at how developers can improve them through small steps in the architecture and practices of software development.
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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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In this episode, Thomas Betts chats with Olivia McVicker, a Senior Cloud Advocate at Microsoft about AI-driven software development. The conversation covers the current, mainstream AI coding assistants and gets into where those tools are quickly heading. They then look to the future of how the entire software development lifecycle will see the benefits of AI in the next few years.
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In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data.
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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.
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 Elisabeth Hendrickson about using systems thinking to understanding relationships between problem elements rather than focusing on individual parts, and how quality engineering practices become even more critical in the age of AI where tools can accelerate code production but humans need to remain in charge of verification.
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In this podcast, Shane Hastie, spoke to Duncan Grazier about transforming software engineering teams into polymorphic cultures where humans work alongside AI agents, requiring leaders to rethink career paths, focus more on communication and coaching skills, and navigate the implications of how the gap between junior and senior engineers rapidly closes due to AI augmentation.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Tara Hernandez about the importance of building generative cultures with strong leadership development, psychological safety, diversity, and transparency over simply chasing new technologies. Technology should be a means to solve meaningful human problems rather than an end in itself.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Zach Lloyd about building a product-first engineering culture, and the critical importance of developers learning to effectively use AI tools while maintaining responsibility for code quality and understanding fundamental programming principles.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Idan Gazit and Eddie Aftandilian from GitHub Next how their research and prototyping team operates as a "department of fool around and find out", exploring AI-powered developer tools through rapid experimentation and user feedback.
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