the real riskVibe coding feels sovereign-free. In production it's the opposite.
Describing software to an AI and watching it appear — 'vibe coding' — is intoxicating, and it's exploding inside companies. But the output is code nobody relit, accumulating debt, opening security holes, and routed through a foreign SaaS that logs your prompts and your codebase. You've handed your most sensitive asset — the source — to a black box under another country's jurisdiction, with no structure verifying any of it. The speed is real. So is the exposure: technical, legal, and regulatory at once.
- Unreviewed AI output becomes unmaintainable software faster than human-written debt ever did.
- Your prompts and source travel to a US provider — potentially in scope of the CLOUD Act.
- No one — and nothing — checks the result before it reaches production.
the distinction that mattersYou won't be sovereign on the models. You can be sovereign on the tools.
Let's be honest: the frontier models — Claude, GPT — are American, and pretending otherwise is theatre. But a raw model does almost nothing on its own. The leverage is in the orchestration: who routes the prompts, where they're hosted, who stores the tasks, who governs what reaches your repo, under whose law. That layer can be fully European — and that's already an enormous share of the surface. Sovereignty isn't all-or-nothing. Owning the tooling that wraps a US model is a concrete, defensible win, not a consolation prize.
- Models are a commodity input; orchestration is where your data and your rules live.
- The tool decides where prompts go, what's logged, and what's allowed to ship.
- European on the layer you can actually control beats 'sovereign' marketing on the layer you can't.
the methodThe only safe way to ship AI code: the Digital Native Method.
The fix for the vibe-coding mess isn't to ban AI — it's to give it a structure. The Digital Native Method splits the work into clear roles: a Product Owner describes the intent directly on the live product; a Tech Lead encodes the rules once — architecture, conventions, security, your company's standards; and AI agents deliver inside that frame. Crucially, nothing reaches production unverified: deterministic gates — lint, types, tests, security — run on every change, through your own GitHub. The output stops being a gamble and becomes governed, reviewable software.
- Product Owner: describes the outcome on the live product, in plain language.
- Tech Lead: encodes the rules once; every agent boots inside them.
- Gates run before prod — green, or it doesn't land. All in your GitHub.
the softwareAgentation is the software that makes the method real — built in France.
A method on a slide changes nothing; you need the tool that enforces it. That's Agentation: a French product, by a French team, that turns the Digital Native Method into a working loop. You point at your live product, describe the result; the Tech Lead and agents implement it; the gates verify it; it ships through your GitHub on your existing AI plan. We never become the place your code lives — we orchestrate, you keep ownership.
- Describe results on the live product — no specs, no tickets, no syntax.
- Encoded rules + automatic gates stand between the model and your repo.
- Ships through your GitHub, on your AI plan — the orchestration is ours, the code stays yours.
cocorico, concretelyFrench team, EU infrastructure, GDPR by construction.
The sovereignty claim has to be specific or it's just a flag emoji. Agentation is operated by a French team. The infrastructure runs in the EU — compute on Hetzner in Germany, data on Supabase in the EU — so it sits under European jurisdiction, outside the US CLOUD Act's reach over the orchestration layer. Your source never moves into a foreign black box: it stays in your own GitHub. GDPR isn't a checkbox added later; it's how the thing is wired. The model may speak American; everything around it is European, by construction.
- Operated by a French team — support and roadmap, in your timezone and language.
- Compute in the EU (Hetzner, Germany), data in the EU (Supabase) — European jurisdiction.
- Your code lives in your GitHub; we orchestrate, we don't host your source.
FAQIs Agentation really sovereign if it uses Claude or GPT?
We're precise about this: the frontier models are American, and we don't pretend to own them. What we own — and what you control — is the orchestration: a French team, EU-hosted infrastructure (Hetzner Germany, Supabase EU), GDPR by construction, and your code staying in your own GitHub. A bare model does very little on its own; the tooling around it is where your data and your rules live, and that layer is European. Sovereignty on the tools is most of the battle.
What's the difference between sovereignty on models and sovereignty on tools?
Model sovereignty means owning or self-hosting the LLM itself — today that mostly means European or open-weight models, with real trade-offs in capability. Tool sovereignty means owning the orchestration layer: where prompts are routed, what's logged, where tasks are stored, what's allowed to reach production, and under whose law. Agentation chooses the second: best-in-class US models for capability, a fully European structure around them for control. It's a deliberate, defensible split.
Where is my data hosted, and does the US CLOUD Act apply?
The orchestration infrastructure runs in the EU — compute on Hetzner in Germany, data on Supabase in the EU — operated by a French company under European jurisdiction, outside the CLOUD Act's reach over that layer. Your source code never moves into our infrastructure: it stays in your own GitHub, on your own account. Prompts are sent to the model provider you already use, on your existing plan — we don't add a new place your code lives.
Is this GDPR-compliant for a company in France or the EU?
Yes — by construction, not as an afterthought. Data sits in the EU under European jurisdiction, the operator is a French company, and your code remains in your GitHub. Because the orchestration is European and your source never lands in a foreign black box, you avoid the cross-border-transfer and CLOUD-Act uncertainties that come with US-based, closed AI coding SaaS.
How is this different from just using a US AI coding tool?
A US tool hands you raw AI output, logs your prompts and codebase in a foreign black box, and leaves you to review and trust it yourself. Agentation puts the Digital Native Method between you and the model — a Tech Lead encoding your rules, deterministic gates (lint, types, tests, security) before prod — and runs the whole orchestration on EU infrastructure operated by a French team, with your code in your own GitHub. You get verified results and European control, not unchecked output in someone else's cloud.