Prompt like before. Ship to production.
AI writes fast, until you need accounts that do not leak, payments that do not bill twice and a deployment that holds. Kubbler keeps the vibe coding and changes one thing: the foundations are no longer generated.
- sentence to start a project, as usual
- 1sentence to start a project, as usual
- foundations written by humans, never generated
- 22foundations written by humans, never generated
- walls when it's time to go live
- 0walls when it's time to go live
Vibe coding always stops in the same place: where the demo has to become a product.
You know the feeling: an idea in the evening, a prompt, and an application running an hour later. AI code generation tools made that possible, and it's real. Then comes the third screen, the first external user, the first attempt to go live, and the wall. A patched-together login you wouldn't dare show anyone. An API key forgotten in browser code. A database with no migrations that can't evolve anymore. A deployment that never quite happens.
That wall isn't about the model or the prompt. It comes from what we ask the AI to do: reinvent, for every project, foundations engineers spent years hardening. A model that rewrites an authentication layer produces different code every time (hence different vulnerabilities every time) and nobody has reviewed it.
Kubbler moves the line. The foundations (accounts, Stripe payments, security, database, migrations, deployment) are written once by engineers and run in production; the AI doesn't touch them. It does what it does better than anyone: interpret your intent to assemble the product layer, live, from 81 blocks and existing capabilities. You keep the speed and the fun; you lose the wall.
Where generation stops, and where it keeps going.
What breaks when the AI builds alone, foundations included, and what changes when it interprets on a foundation written by humans.
What AI should never improvise.
The split isn't ideological, it's practical: each where they're good, and nobody where a mistake is expensive.
Written by humans
The parts where an approximation doesn't show right away, and is paid for in an incident.
Authentication
Sessions, 2FA, roles, invitations, anti-fraud: a single codebase, reviewed, operated, everywhere.
Payments
Signed webhooks, idempotency, failures handled, subscriptions, invoices: already in production.
Security
Quotas, anti-fraud, CSP, encrypted secrets out of the browser, validation on input.
Handed to AI
Where it's frankly better than us, and where being wrong costs nothing, because you see and fix it live.
Assembly
Your description becomes screens, data and journeys, from the existing blocks.
Tweaks
"Make the button bigger", "add a field": done live, in the preview, before your eyes.
Copy & translations
Tone, languages and variants, in one sentence. Multilingual comes as standard.
What you can build with it.
Three things you've probably already prompted somewhere, and which, here, go all the way.
The app you already prompted, but one that holds
Same idea, same speed, same fun, with accounts that don't leak, secrets out of the browser and a deployment that reaches the end. The difference doesn't show in the demo; it shows at the first real user.
A paid product you wouldn't dare wire up yourself
Stripe, signed webhooks, idempotency, failed payments, subscriptions, invoices: written and reviewed by humans, activated by you in one sentence. You collect on your own account, no hacks.
A prototype you can show a client
Brand set, copy tuned by prompt, multilingual if needed, live on a real domain with a certificate. Not a local demo or an expiring preview link: a product you can send.
How it works, concretely.
Four steps, three actors: you prompt, the AI interprets, and the engineers who wrote the foundation answer for what has to hold.
You prompt
As usual: an idea, a sentence, a link, a screenshot. You refine through the conversation, you point at an element in the preview and say what you want changed.
The AI interprets
It translates your intent into screens, a data model and journeys, composing with 81 blocks and 22 existing capabilities. It reinvents neither accounts nor payments: it activates and dresses them.
The foundation carries
Authentication, idempotent Stripe payments, secrets out of the browser, migrations, quotas, anti-fraud, deployment: written and reviewed by engineers, already in production: exactly the places where improvisation costs.
You publish, for real
One click: domain, HTTPS certificate, backups, dedicated container. What you prompted tonight is live tonight, with real accounts and real payments, and you can open the code tomorrow.
Why Kubbler, when you already prompt.
Four reasons to change tools without changing how you work.
You keep the speed
One sentence to start, a conversation to refine, a preview that updates live, an element you point at and adjust. Everything that makes vibe coding enjoyable is there: we removed nothing on that side.
The foundations are no longer generated
The AI interprets; it doesn't architect. Accounts, payments, security, migrations, deployment are written, reviewed and run in production by engineers, and fixed for every project at once. That is exactly what kept you from getting past the third screen.
Going live is a click, not an ordeal
Domain, HTTPS certificate, backups, dedicated container, secrets injected at deploy time, frontend served from Cloudflare's edge, backend hosted in Paris. The path goes all the way to production, not to an expiring preview link.
The code stays readable, and yours
What the AI assembles follows the foundation's conventions: JavaScript a developer can read, versioned, exportable to GitHub. You can prompt on Monday and code on Tuesday, or hand the project to someone who codes, without them having to rewrite everything.
The questions we get asked.
Precise answers, because decisions are made on facts, not on promises.
Those tools ask the AI to generate everything, foundations included, and that's where projects break. At Kubbler, the AI only writes the product layer; accounts, payments, security, data and deployment are a foundation written by engineers, already in production, identical for every project. You keep the same way of working, you lose the wall when it's time to ship.
Yes, it's the normal mode: you describe, the AI interprets and adjusts live in the preview, you point at an element and say what you want changed. You can also attach an image, a link or an existing design. You keep the speed, you lose the breakage.
It's readable, conventional JavaScript, and exports to GitHub at any time. A code editor is also built in, with a check before saving so the project keeps building. You can prompt on Monday and code on Tuesday, on the same project.
One click. Domain, HTTPS certificate, backups, dedicated container, secrets injected at deploy time. The frontend is served from Cloudflare's edge, the backend runs in Paris on Scaleway. A test version before every release is available on the plans that include it.
It gets the surface wrong, never the foundations: a line of copy to revisit, a misplaced block, one field too many. You fix it live in the preview or in a sentence. Nothing touching security, payments or data goes through it: which is precisely what makes a mistake cheap.
You can drop in an HTML export (from Claude Design for instance) or an archive, and it becomes an editable page in the workshop, laid on the foundation. For the rest, re-describing the idea takes a sentence: it's often faster than migrating a generated codebase nobody understands anymore.
Keep the speed. Add the foundations.
Free during the beta. Describe the same idea as last night, and watch how far it goes this time, all the way to production.