the real gapYou're not short on a model. You're short on a team.
Solo devs and indie hackers reach for Copilot, Cursor or Claude Code and feel unstoppable — for about ninety days. The model writes code beautifully. But a shipping company was never just a coder; it was a coder plus the people who keep the coder honest: someone reviewing the diff, someone owning the architecture, someone testing before it goes live. Alone, you are all of those roles at once, which in practice means most of them don't happen. The code ships because it ran once, not because anything verified it. That's the part AI hasn't given solo builders yet — and it's the part that decides whether month four is a launch or a rewrite.
- Generating code: solved. You have a model for that.
- Reviewing, guarding architecture, testing before prod: still unstaffed.
- Working alone doesn't remove those roles — it just leaves them undone.
the 90-day reckoningVibe coding feels free until the bill arrives.
Vibe coding — describing what you want and accepting whatever the AI emits because it 'feels right' — is the natural mode for a solo builder. It's also where the debt hides. You skip the pauses where a team would stop and ask: is this the right structure? Is anything testing this? Research on vibe coding in practice describes exactly this flow-versus-debt trade-off, and surveys keep finding a large share of AI-generated code carrying vulnerabilities. The debt is invisible right up until one of three things happens: a feature that should take an hour takes a day, a production issue exposes how little of your own app you actually understand, or you try to onboard a contractor and they can't read it. Solo, there's no teammate to absorb that — it lands entirely on you.
- Vibe coding removes the natural pauses where structure gets decided.
- Hidden bugs, security gaps and inconsistent patterns compound silently.
- The reckoning is a feature that won't ship, or a project you can't hand off.
the methodThe Digital Native Method: describe intent, encode rules once, let verified agents ship.
There is one way out that scales for one person, and it's a method, not a tool. You — the product owner, even if that's also you the only developer — describe the intention directly on the live product: this is broken, this should feel faster, add this. A Tech Lead encodes your standards once: architecture, conventions, security, the rules of your project. Then agents implement inside that structure, and deterministic gates — lint, types, tests, security scans — run before anything reaches production. The same merge-gate discipline a serious team uses, except you configure it once instead of staffing it. It's how a single person gets a team's checks without a team's headcount.
- Product Owner describes the outcome on the live product, in plain language.
- Tech Lead encodes the rules a single time — agents boot inside them.
- Gates run automatically before prod: green or it doesn't land.
the softwareAgentation is the software that gives a solo dev the team.
A method needs software to be real, and that's Agentation. It runs a Tech Lead and a pool of agents for your project; you point at the live product and describe results; work comes back implemented, reviewed by the structure, and shipped through your own GitHub. You get the reviewer, the architecture guardian and the QA as configuration — set up once, applied to every change — instead of three hires you can't afford. You stay in outcome-space: you judge whether the result is right, the way your users will, while the structure verifies the code underneath. That's the difference between 'I never read the code' meaning nobody did, and it meaning a system did, every single time.
- A configured Tech Lead + agents per project — your team, not your payroll.
- Ships through your GitHub, on your existing AI plan — we never store your code.
- You verify the result; the structure verifies the implementation.
cocoricoFrench-built, EU-hosted — sovereign on the tools, if not the models.
Agentation is a French company, built by a French team. We're honest about sovereignty: nobody in Europe is sovereign over the frontier models — Claude, GPT — today. But with just a model you don't actually ship much; the orchestration around it is the larger, decisive part, and that part can absolutely be European. So that's where we plant the flag. The software that orchestrates the models runs on EU infrastructure (Hetzner, Germany), your data lives in the EU (Supabase), your code stays in your own GitHub, and the whole thing is GDPR-aligned. For a solo builder who doesn't want their entire stack and IP routed through a single foreign vendor, sovereignty on the tooling is a real, attainable line — and it's the one we hold.
- French team, French company — orchestration you can be sovereign over.
- EU hosting (Hetzner, Germany), EU data (Supabase), GDPR-aligned.
- Your code stays in your GitHub on your own AI plan — we never hold it.
FAQCan a solo developer really ship production software with just AI?
You can generate it with AI alone — but shipping production software has always needed more than generation: review, architecture, tests before merge. Solo, those roles fall on you and usually get skipped, which is how fast projects rot. Agentation supplies those roles as configuration — a Tech Lead and deterministic gates — so a single person ships with a team's safeguards.
I work alone, so who reviews the code the AI writes for me?
That's the exact gap. With raw AI tools, the reviewer is you, late and unreliable. With Agentation, a Tech Lead you configure once enforces your conventions, and lint/type/test/security gates run on every change before it can reach production. You review the outcome; the structure reviews the code.
Isn't this overkill for a one-person project?
It's the opposite — a one-person project is where you can least afford hidden debt, because there's no teammate to catch it or carry it. The whole point is that you configure the checks once instead of staffing them, so the overhead is setup, not ongoing effort. It pays for itself the first time a gate blocks a bug you'd otherwise have shipped at 11pm.
How is this different from Cursor, Copilot or Claude Code on my own?
Those are excellent at the generation step — the part you already had covered. They hand you code to read, fix and trust yourself, so you remain the bottleneck and the only safety net. Agentation wraps the model in a Tech Lead and automatic gates, turning a solo coder into a one-person operation with a team's verification.
Where does my code and data live — is anything sent off to a foreign cloud?
Your code stays in your own GitHub and runs on your existing AI plan; we never store it. The orchestration runs on EU infrastructure (Hetzner, Germany) with data in the EU (Supabase), GDPR-aligned. We're a French team, and while no European is sovereign over the underlying models, the orchestration around them is European by design.