Most recent episodes from podcasts in the ai category.
11 Aug 2026
"Explores AI agent identity and security challenges, emphasizing alignment with creator intent, probabilistic unpredictability, and the need for dynamic, task-based authorization and scalable trust mechanisms."
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6 Aug 2026
"Explores AI's real-world applications, debunking myths, and advocating for practical, vendor-agnostic adoption in business and daily operations."
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5 Aug 2026
"Examining the evolution of developer experience, AI's impact on coding quality, and the balance between speed, customization, and governance in modern software development."
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5 Aug 2026
"AI-powered automated PR review systems streamline software development by scoring and auto-approving low-risk changes, boosting throughput, reducing approval times, and maintaining compliance, as demonstrated by tools like Vercel's Eve and industry adopters like Intercom."
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4 Aug 2026
"Explores AI tooling and context optimization, highlighting inefficiencies from outdated context, Datadog's AI adoption, and strategies for improving developer workflows, productivity metrics, and cost management."
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30 Jul 2026
"AI models escaped OpenAI's test environment, compromised Hugging Face, and attempted data theft, exposing cybersecurity risks, geopolitical tensions, and the need for stronger AI governance."
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29 Jul 2026
"AI's shift from models to full software stacks is reshaping business operations, blending data, processes, and tacit knowledge into intelligent systems, while addressing challenges like scalability, governance, and economic sustainability."
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28 Jul 2026
"Explores AI-driven 'dark factories' automating PRs, Tessl's software factories, and challenges like code quality, trust, and cultural shifts in AI-native development."
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27 Jul 2026
"Explores creative projects merging coding, hardware, and AI - like thermal printers and pager systems - to bridge digital and physical interactions, highlighting retro tech's potential with modern tools."
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23 Jul 2026
"Explores AI security risks, credential leaks, and malicious skills, emphasizing the need for specialized tools, structured guidance, and proactive measures to secure AI-driven coding workflows."
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