Podcasts

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.

Bridging the Open Source Gap: from Funding Paradoxes to Digital Sovereignty

Gabriele Columbro, managing director of the Linux Foundation Europe, discusses the differences in the open-source landscape between Europe, China and the US. Stressing that the open-source landscape is the last favorable ground for global innovation in the current geo-political landscape.

GenAI Security: Defending Against Deepfakes and Automated Social Engineering

In this episode, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling cybercrime and argues defenders must move beyond default trust, utilizing behavioral telemetry and game theory to counter attacks that simulate human behavior.

Looking for Root Causes is a False Path: A Conversation with David Blank-Edelman

In this podcast, Michael Stiefel spoke with David Blank-Edelman about the relationship between software architecture and site reliability engineering. Site reliability engineering can give architecture vital feedback about how the system actually behaves in production. Architects and designers can then learn from their failures to improve their ability to build systems that can evolve.

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

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.

InfoQ Culture & Methods Trends in 2025

This is the InfoQ Culture & Methods Trends Report for 2025. Featuring the InfoQ editorial team and special guest Charity Majors, they discuss how AI is transforming software development with dramatic productivity gains alongside quality concerns, emphasize the continued importance of team collaboration, observability, engineering metrics, and creating high-performing software teams.

Achieving Sustainable Mental Peace in Software Engineering with Help from Generative AI

Shane Hastie spoke to John Gesimondo about how to leverage generative AI tools to support sustainable mental peace and productivity in the complex, interruption-prone world of software engineering by developing a practical framework that addresses emotional recovery, overcoming being stuck, structured planning and communication, maximizing flow, and fostering divergent thinking.

Building Empathy and Accessibility: Fostering Better Engineering Cultures and Developer Experiences

In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Erin Doyle about her journey as a generalist engineer, her passion for web accessibility, the importance of empathy and psychological safety in engineering teams, and her commitment to building better developer experiences by fostering collaboration, continuous learning, and vulnerability among technical professionals.

Taming Flaky Tests: Trisha Gee on Developer Productivity and Testing Best Practices

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke with Trisha Gee about the challenges and importance of addressing flaky tests, their impact on developer productivity and morale, best practices for testing, and broader concepts of measuring and improving developer productivity.