machina discendi

Yohan Lasorsa, Developer Advocate at Microsoft, and Olivier Leplus, Developer Advocate at AWS, opened their joint talk with a premise most web developers already accept: AI helps you build websites. Their argument is that the reverse is now equally true -- the web is becoming AI's runtime, its data source, and …

Šimon Podhajský (LinkedIn, X), Head of AI at Waypoint AI, opened with a premise that cuts against the grain of most personal AI demos: what if the most valuable thing an AI can do with your data is simply read it?

Sandipan Bhaumik (LinkedIn), Data & AI Tech Lead at Databricks, opened with an anecdote that set the tone for the whole talk. A single credit-scoring agent ran for two weeks in production without issues. The team added four more agents. Within days, 20% of risk ratings were wrong -- not because the …

Sonny Merla, Mauro Luchetti, and Mattia Redaelli (Quantyca) opened with a question that any large organization experimenting with AI agents will recognize: what happens when dozens of teams across multiple continents are all building agents independently?

Phil Nash (X, LinkedIn), a developer relations engineer at IBM, opened his AI Engineer Europe talk by taking aim at the "RAG is dead" discourse. His counter is simple: if every business had less than a million tokens of data, maybe. But they don't, and not everyone wants to pay …

Juan Herreros Elorza (LinkedIn, GitHub), Team Lead on the Cloud Native Technology team at Banking Circle, makes a deceptively simple argument: the platform engineering practices that have always been "best practices" are now prerequisites. Not because they've changed, but because AI coding agents have become first-class users of internal developer …

Tun Shwe (LinkedIn) and Jeremy Frenay (LinkedIn), both AI Engineers at Lenses.io, gave a joint talk at AI Engineer Europe 2026 on what happens when MCP servers leave the safety of a developer's laptop. Their central claim: most MCP servers are built for single-player local development and collapse the …

Nimrod Hauser (LinkedIn, X), a founding engineer at Baz, opened his talk at AI Engineer Europe with a deceptively simple observation: public MCP servers ship tools designed for everyone, which means they're optimized for no one. When you plug generic tools into a production agent, the agent hallucinates URLs, saves …

A post making the rounds claims that Claude Code subagents share a prompt cache, making parallelism "basically free." It says you can spin up five agents and pay barely more than one. It lists three execution models — fork, teammate, and worktree — and says they all share the cache. Analysis of …

OpenAI have dropped their new Agents Platform. Swyx and Alessio chat with Nikunj Handa and Romain Huet of OpenAI to discuss the release.