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 …

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 …

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 …

Mozhgan Kabiri Chimeh (LinkedIn), a developer relations manager at NVIDIA, opened her AI Engineer Europe talk with the pain point that drives most AI developers to the cloud: you either run out of memory or you don't have the right software stack. The result is that development iteration speed depends …

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 …

Harshil Agrawal (X, LinkedIn), a Senior Developer Educator at Cloudflare, opened his AI Engineer Europe talk with a reframe that should be obvious but apparently isn't: strip away the branding, and the code your LLM writes deserves exactly as much trust as code you found on a random website. Which …