m4dz 🎙
World Dreamer @Zenika
World Dreamer @Zenika
Lyon, France
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Mads is a curious animal. Former front-end developer with a passion for Devtools, he has made Developer eXperience (DevX) and Software Excellence his favorite subjects. All technologies are on his radar to make things ever simpler. His motto: “Developers are first and foremost, users.” As a lifelong dreamer, his favorite book will always be “Alice's Adventures in Wonderland.”
Mads est un animal curieux. Ancien Frontend Dev, passionné de Devtools, il a fait du Developer eXperience (DevX) et de la Software Excellence ses sujets de prédilection. Toutes les technologies sont sous son radar pour rendre les choses toujours plus simples. Sa devise : « Les développeurs sont avant tout des utilisateurs ». Rêveur depuis toujours, son livre préféré restera toujours « Alice's Adventures in Wonderland ».
Area of Expertise
Topics
Cloud Atlas: Unlocking the Secrets of Cloud Migration at Scale
"Everything is connected."
Scaling a migration is a living story where every decision echoes across the entire system. Like Cloud Atlas, success depends on sharing knowledge and building a standardization that serves as an invisible launchpad for innovation, not a barrier.
However, we often repeat the same cycles of failure. Centralized governance becomes a bottleneck; the quest for absolute control kills team velocity. When validation processes turn into a bureaucratic prison, teams will inevitably bypass them. We must accept that Cloud complexity demands alignment, not coercion.
A successful migration isn’t about perfect individual components, but how they map together. In this session, we will explore how breaking silos allows team autonomy to drive global coherence. Join us to see how a migration becomes a collective adventure—where a multitude of drops unite to become an ocean.
L'IA devant soi — The Work and Its Making
In 1975, Romain Gary won a second Prix Goncourt under the pseudonym of Émile Ajar. The Académie saw nothing. Today, they vow to reject AI-written work, without any real way to detect it.
The boundary between tool and authorial voice has always been porous. You can't draw a line between a work and its making. From a subtle proofread to deep co-authorship, AI makes this debate impossible to ignore. There is no clear threshold where a work stops being yours.
Achieving a consistent narrative identity under strict local performance constraints requires serious engineering. Outsourcing to a public LLM isn't enough. It demands vector databases, RAG, LangGraph, fine-grained context management… We built it around one rule: the craft stays in our hands.
During this keynote, that architecture will run live. A novel is in progress. you might just make it in time to watch a chapter come to life.
The Académie has already lost. They just don't know it yet.
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