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About this Podcast
Intended for architects and senior developers.
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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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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.
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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.
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Cloud Security Challenges in the AI Era - How Running Containers and Inference Weaken Your System
Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Claire Vo on Building High-Performing, Customer-Centric Teams in the Age of AI
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Claire Vo, Chief Product and Technology Officer at LaunchDarkly, about building high-performing, customer-centric teams, fostering a culture of experimentation, and preparing for the future of AI-driven software development.
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Investing in Open Source: The Open Source Pledge and Why it Matters
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Chad Whitacre about the Open Source Pledge, an initiative to encourage companies to financially support open-source maintainers to ensure the sustainability and security of the software they depend on. The goal is to address the social contract within open source, where companies benefit from freely available software.
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Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.
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Developer Experience Influenced by Open Source Culture
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Kyle Carberry about the importance of developer experience and how it is changing with the rise of tools like Copilot.
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The Value of DevRel and Contributing to Open Source Initiatives
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Craig Box about the role of developer relations and contributing to the open-source community.
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