InfoQ Homepage Programming Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Developers Can Improve the ESG Aspects of Software by Tackling Early Ethical Debt
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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[Video Podcast] AI-Driven Development with Olivia McVicker
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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Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-Free Replicated Data Types
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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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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The Latest in OpenJDK and JCP Expert Group: Insights with Simon Ritter
In this episode, Simon Ritter, deputy CTO at Azul, sat down with podcast host Michael Redlich, lead editor of the Java topic at InfoQ, and discussed the latest features in OpenJDK and Ritter’s experiences serving on the JCP Expert Group since JDK 9. OpenJDK topics included: the six-month release cycle, Generational Shenandoah, JDK Flight Recorder, Project Leyden and Compact Object Headers.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Building a Product-First Engineering Culture in the Age of AI
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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GitHub Next: how their research and prototyping team operates
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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Technology Radar and the Reality of AI in Software Development
Shane Hastie, Lead Editor for Culture & Methods spoke to Rachel Laycock, Global CTO of Thoughtworks, about how the company's Technology Radar process captures technology trends around the globe. She is sceptical of the current AI efficiency hype, emphasizing that real value of generative AI tools lies in solving complex problems like legacy code comprehension rather than just writing code faster.
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Using AI Code Generation to Migrate 20000 Tests
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Sergii Gorbachov, a staff engineer at Slack, about how they successfully used AI combined with traditional coding approaches to migrate 20,000 tests in 10 months, discovering that AI alone was insufficient and required human oversight and conventional tools to work effectively.
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Technical Leadership: Building Powerful Solutions with Simplicity and Inclusion
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Bhavani Vangala about creating powerful yet simple technology solutions, taking a balanced approach to AI tools, fostering inclusive team environments, and empowering women in tech leadership through focusing on strengths rather than societal constraints.
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