Learning Machine

Ominous, right?

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?

Mahmoud Mabrouk (X, LinkedIn), co-founder and CEO of Agenta AI, opened his AI Engineer Europe workshop with a scenario most teams will recognize: your LLM agent is in production, your observability dashboard looks clean, but customers keep saying the thing doesn't work. The culprit, he argues, isn't the agent -- it's …

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 …

Dippu Kumar Singh (LinkedIn), Leader of Emerging Technologies at Fujitsu North America, presents a talk that starts where most AI discussions stop. Most generative AI demos assume clean text input. In a contact center, the data starts as messy, overlapping, emotionally charged audio -- and the engineering challenge isn't transcription. It's …

Brendan O'Leary (LinkedIn, X), a Developer Relations Engineer at Kilo Code, opened his AI Engineer Europe talk with a observation that's easy to nod along with and hard to act on: most engineers have used AI tools by now, but almost none of them can articulate how they actually work …

A practical framework for building software with AI agents.