the half-built loopAnnotation tools stop one step too early.
BugHerd, Marker.io, Superflow, Feedboon — they all do the same beautiful thing: click an element, write a note, and the tool captures the screenshot, the URL, the DOM selector, the console error, the browser. That context is gold. But the loop ends there. The annotation becomes a task on a board, or at best a blob of context you paste into Cursor or Claude Code yourself. Then a person has to read it, an agent has to build it, and someone has to review whatever the agent produced. You collected perfect feedback and handed it to the same fragile assembly line.
- Point-and-click feedback solved the input — not the output.
- A task on a Kanban board is not a shipped change; it's a promise.
- Pasting context into an AI editor still leaves you reading and trusting the diff.
why the gap is dangerous nowVibe coding makes the open loop a liability.
When a human wrote every line, the gap between 'feedback' and 'shipped' was slow but at least someone understood the code. Now an agent can turn your annotation into a feature in minutes — and that's exactly the trap. Speed without a closing structure is how vibe coding becomes the enterprise mess everyone is starting to fear: code nobody relit, mounting debt, quiet security holes, screens that turn red and nobody knows why. The annotation was clear. The shipping was not governed. Faster input into an ungoverned pipeline just produces unmaintainable software faster.
- Agents generate fast; without a gate, they accumulate debt just as fast.
- Unreviewed AI output is the precise failure mode of vibe coding in production.
- The fix isn't to slow down the input — it's to make the output verifiable.
the closed loopHow annotate-to-ship actually works.
You open your live product inside Agentation, hover any element, click, and describe the result you want — 'this CTA should feel faster', 'this flow is broken on mobile', 'add an export button here'. That annotation becomes a real task with all its context attached. A Tech Lead — encoded once with your standards — dispatches an agent inside an isolated worktree. The agent builds; deterministic gates run; the Tech Lead reviews the diff. Only then does it land. You watch the card move from annotation to reviewed-and-shipped, in your own GitHub, without ever opening syntax-space.
- Point → describe outcome → annotation becomes a structured task.
- Agent builds in isolation; lint, types, tests and security gate the result.
- It ships through your GitHub as a reviewed change, not a branch you babysit.
the method, not just a featureThis is the Digital Native Method — and it needs software.
Annotate-to-ship isn't a clever button; it's the whole working method. A Product Owner describes intent on the live product. A Tech Lead encodes the rules once — architecture, conventions, security, the company's own bar. Agents deliver inside a structure that verifies everything before production. That separation of concerns is what keeps the speed of AI without the chaos. But a method on a slide changes nothing. You need the software that enforces it on every change, every time — and that software is Agentation. The annotation overlay, the Tech Lead, the gates, and your GitHub are one continuous loop, not four tools taped together.
- Product Owner owns the outcome; Tech Lead owns the rules; agents own the typing.
- The structure verifies — so 'I never read the code' never means 'nobody did'.
- A method without software is a wish; the software is what makes the loop real.
cocoricoBuilt in France — sovereign on the tools that orchestrate the models.
Agentation is a French company, built by a French team. We're honest about sovereignty: nobody in Europe is sovereign on the frontier models yet — Claude, GPT and the rest are American. But the models are only a fraction of the system. With just a model you don't ship much; what actually governs your software is the orchestration layer around it — the annotation loop, the Tech Lead, the gates, where your code lives. That layer can absolutely be European, and ours is: hosted in the EU on Hetzner in Germany, data in the EU on Supabase, your code staying in your own GitHub, GDPR by design. Sovereign where it counts — on the tools, not held hostage to a single model.
- French team, EU hosting (Hetzner, Germany), EU data (Supabase), GDPR by design.
- Your code never leaves your GitHub; it runs on your own AI plan.
- Sovereignty on the orchestration layer — the part you can actually control.
FAQHow is this different from BugHerd, Marker.io or Feedboon?
Those tools capture point-and-click feedback brilliantly and turn it into a task or a context blob you hand to an AI editor. Agentation captures the same context but closes the loop: the annotation is dispatched to an agent through a Tech Lead, gated by automatic lint/type/test/security checks, and shipped to your GitHub as a reviewed change. You get a result, not a ticket to manage or a diff to review yourself.
Do I have to read or review the code the agent writes?
No. You judge the result by using the live product the way your users will. The implementation is the structure's job — a Tech Lead encodes your rules once and every agent boots inside them, while deterministic gates run before anything reaches production. You verify the outcome; the structure verifies the code.
If agents ship fast from annotations, won't I just create technical debt faster?
That's exactly the vibe-coding trap, and it's why the gates exist. Agents don't ship freehand — they work inside encoded conventions and a maintainability bar, and nothing lands until lint, types, tests and security pass. What accumulates is governed code, not the unreviewable sprawl that 'just ship it' produces.
What context does an annotation actually carry to the agent?
The element you pointed at, the page and URL, the intent you described in plain language, and the surrounding state — turned into a structured task rather than a screenshot in a backlog. The agent gets enough to build the right thing, and the Tech Lead reviews the diff against your standards before it ships.
Where does the code run, and is it sovereign?
Your code stays in your own GitHub and runs on your existing AI plan — we never store it. Agentation itself is a French product hosted in the EU (Hetzner, Germany) with data in the EU (Supabase) and GDPR by design. We don't claim sovereignty over the underlying models, but the orchestration layer that governs your software is European and under your control.
Do I need an engineering background to use this workflow?
No. The whole point is that you stay in outcome-space: you point at the live product and describe what good looks like. If you can spot what's wrong on a screen and say what should change, you can drive annotate-to-ship. The Tech Lead and the gates handle the engineering rigour underneath.