AI Engineering: scaling impact, value, and polyvalence
The traditional project squad is shrinking, and we are entering the phase of Autonomous Engineering. The next five years belong to the 'Squad of One', aka the architect/dev/sec/ops lead who uses AI as the connective tissue to deliver what used to require an entire team.
In this session, we’ll look at the actual stack and methodology making this possible. Discover how to transition from manual coding to a 'requirement-first' workflow, where agents handle the heavy lifting of implementation while you maintain total sovereignty over your data, your infrastructure, and your Go-To-Market strategy.
Join us for an evening to exchange with senior peers on the evolution of AI engineering and its impact on expert delivery.
Join the session!
What to expect?
We've structured the whole session around four key pillars:
- Pillar 1 - The workflow: from writing to reviewing (with Romain Pattyn)
The new workflow defines requirements and lets agents (Claude/Custom Agents) handle implementation, testing, and PR reviews. We’ll look at how to actually trust the output. - Pillar 2 - The foundation: the sovereignty layer (with Jean-Christophe Cuvelier)
In the European context, data privacy and strategic autonomy are non-negotiable. We’ll explore local stacks and private providers: how to build a professional environment where you maintain control over your data and your client's IP? - Pillar 3 - The business: the GTM accelerator (with Andrea Balducci)
How to use that same stack to automate the technical sales, GTM, and client reporting? More output, less "admin time." - Pillar 4 - The vision: The next years (panel discussion with Korhan Kale, Inan Asan & Alexis Wuydts)
How do we stay high-value when anyone can generate a codebase, but few can architect a solution?
Speakers
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