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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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Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework
Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line.