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About this Podcast
Intended for architects and senior developers.
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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.
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Platform Engineering for AI: Scaling Agents and MCP at LinkedIn
QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Building a Resilient and Inclusive Engineering Culture with Matthew Card
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matthew Card about his resilience framework (CAPSS - Confidence, Adaptability, Purpose, Social Support) which has helped him overcome career challenges and now guides him in building inclusive engineering cultures by empowering teams and breaking echo chambers.
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Finding Your Engineering Bottleneck: The Hierarchy of Engineering Needs
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Myles Henaghan about the open-sourced "Hierarchy of Engineering Needs" - a systematic framework inspired by Maslow's hierarchy that helps engineering leaders identify and prioritize the most impactful constraints limiting their software delivery systems among competing improvement initiatives.
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Engineering Leadership: Building Culture, Career Growth, and Ownership
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Thiago Ghisi about building engineering culture through leading by example, advancing careers by embracing "glue work" (non-technical but necessary tasks), taking full ownership of projects, and developing self-awareness to choose between technical and management career paths.
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Elisabeth Hendrickson on Systems Thinking for Quality Engineering
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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Team Building in the Brave New World: Transforming Software Engineering Culture and Leadership
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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