Podcasts

[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.

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.

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.

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.

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.

From Code to Strategy: Drive Organizational Impact Through Strategic Conversations and User Focus

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Mark Allen about how engineers can expand their influence through strategic conversations, user-focused development practices, and excellence in incident management. Mark emphasizes the importance of building cross-organizational relationships and working on meaningful problems with positive impact.

Productivity Through Play: Why Messing Around Makes Better Software Engineers

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Holly Cummins about productivity in creative knowledge work like software engineering. She talks about how "messing around and having fun" actually enhances problem-solving, while exploring the shift from coding to code management with AI tools and the importance of managing cognitive load in modern development practices.

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.

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.

Emerson Murphy-Hill on Engineering Productivity, Team Dynamics and Equity

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Emerson Murphy-Hill about how measuring developer productivity is tricky, why team dynamics and psychological safety matter more than things like meeting load, the impact of systemic bias and how new AI tools are shaping equity in engineering - sometimes helping, but sometimes risking new kinds of unfairness.