Agentic Conversations (formally mlops.community)
Demetrios
Episodes
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How Stanford Teaches AI Coding Now
AI coding courses must be rebuilt quickly as model capabilities change; Mihail replaced roughly 80% of Stanford’s previous curriculum after Claude Opus 4.5 and Claude Code altered practical workflows.
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From Slop Code to Software Factories
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Tim O’Reilly
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AI Agents Need a Babysitter
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Token Maxxing Is Over and Here Is What Comes Next
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The World Wild Web & Bots With Buying Power
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Agents Acting Safely on Our Behalf
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Bridging the Gap Between AI Builders and Domain Experts
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Inside a Game Where AI Agents Never Sleep
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How a Logistics Giant Keeps AI Data Locked Down
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The Caveman Prompting Challenge
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AWS Has 16,000 APIs. Can MCP Handle It?
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Skills over MCP on the streets of Tokyo
Skills over MCP transform the MCP server from a tool repository into a dynamic distribution channel capable of delivering workflows, instructions, and knowledge precisely when needed.
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Walking Tokyo Talking Agent Protocols
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Why Cost Per Million Tokens Is A Useless KPI?
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The Five-Layer Cake Approach to Scaling AI Without Wasting Money
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The Winchester Mystery House Problem in AI Development
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How Predictive Analytics Stops Budget Overruns Before They Happen?
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How To Delegate To An Agent Like You Would An Employee?
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Why Your AI Bill Will Double Before It Gets Better
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