A production foundation, not another boilerplate.
Twelfth authentication, twelfth Stripe integration, twelfth set of migrations. Kubbler gives the plumbing back to you: 22 capabilities written, tested and run in production, in readable JavaScript on Next.js. You keep the keyboard, the repository and the architecture.
- capabilities written and tested, in readable JavaScript
- 22capabilities written and tested, in readable JavaScript
- black boxes in your repository
- 0black boxes in your repository
- click to deploy the whole thing, secrets included
- 1click to deploy the whole thing, secrets included
Plumbing never taught anyone anything. It still costs weeks.
Every new project starts with the same three weeks: wire authentication and sessions, handle roles and invitations, sign Stripe webhooks and guard against double billing, write migrations, validators, transactional emails in every language, harden CSP and rate limiting, then stand up a deployment pipeline you'll have to maintain. This code doesn't differentiate your product. It's still the code that costs you the most in incidents.
Boilerplates and starters promise to fix this and stop halfway: a skeleton to fork, which diverges from the first week and which nobody maintains for you. AI code generators go further and faster, but rewrite a different authentication layer for each project (hence different vulnerabilities for each project) and leave a database without migrations that nobody dares to evolve.
Kubbler is an operated foundation, not a template. The foundations are written once, by engineers, reviewed, tested, and fixed for every project at the same time. The AI doesn't touch them: it interprets the business intent to assemble the product layer (screens, data model, journeys) within the foundation's conventions. You get all of it in readable JavaScript, exportable to GitHub at any time, with containerised deployment, per-environment encrypted secrets and backups.
The code you had no desire to rewrite.
What you start over on every project, and what's left to write once the foundation is already there.
What you get, as is.
Pure JavaScript, documented conventions, nothing proprietary to learn to be productive on day one.
The foundation
Written once, reviewed, operated, fixed for everyone at the same time.
Complete authentication
Sign-up, sessions, 2FA (TOTP, email, SMS), roles, organisations, invitations, anti-fraud.
Data
Versioned schemas, validation on input, generated migrations, Redis cache with invalidation.
Jobs & queues
Scheduling, queues with retry on failure, priorities, logging and metrics.
The way out
What you take with you the day you decide to leave: an entry condition, not an option.
Code export
To GitHub, at any time, from the editor. Readable, conventional, documented.
Deployment
Dedicated container, domain, HTTPS, backups, separate environments. One click.
Secrets
End-to-end encrypted vault, per environment, injected at deploy time. Never in the browser.
What you can build with it.
Three typical projects, and the part of each you won't write: the part that would have taught you nothing.
A complete business back-office
Data model, validation, tables, filters, roles and permissions: the CRUD you won't write a thirteenth time. You keep the business logic; the foundation holds the rest.
A versioned API with its screens
The schema is drawn, the API follows with its validation and migrations, the frontend consumes it. All of it goes to GitHub when you decide, with generated OpenAPI documentation.
A multi-tenant product, isolated per customer
Each customer their own database, secrets, domain, backups, without writing a line of that isolation. You add a tenant by configuration, not by deployment.
How it works, concretely.
Four steps, three actors: you decide the business architecture, the AI interprets, and the engineers who wrote the foundation answer for it.
You frame the domain
The domain, the entities, the journeys, the rules. You can describe it in natural language or draw the schema directly: the API follows from it, the frontend consumes it.
The AI interprets
It translates the frame into a versioned data model, routes and screens, composing with the 81 blocks and the foundation's capabilities. It works within the framework's conventions, not beside them.
The foundation carries
Authentication and sessions, roles and organisations, idempotent Stripe payments, validation and migrations, job queues, cache, CSP, quotas: written and reviewed by engineers, run in production, fixed for everyone.
You take the keyboard back
GitHub export whenever you want, or work in the built-in code editor. Separate dev and prod environments, secrets injected at deploy time. You prompt on Monday, you code on Tuesday, on the same repository.
Why Kubbler, for a developer.
Four reasons that aren't about marketing but about how the foundation is written and operated.
Code you can read
No DSL, no proprietary runtime: conventional JavaScript on Next.js and Node.js, versioned JSON schemas, documented conventions. You're productive on day one, and you can answer for every line in front of a peer.
The repository is yours
Export to GitHub at any time, from the editor. You plug in your continuous integration, your reviews, your tools. Kubbler isn't a cage: it's a foundation you can step out of whenever you want, taking everything with you.
The foundations are not generated
The AI assembles the product layer within the foundation's conventions; it never writes authentication, payments or migrations. Those bricks are written, reviewed and run in production by engineers, and a fix benefits every project, yours included.
Security is set at the source
End-to-end encrypted secrets per environment, hardened CSP and CORS, rate limiting, anti-fraud, two-factor authentication, systematic input validation. It isn't a checklist to tick project after project: it's the default behaviour.
The questions we get asked.
Precise answers, because decisions are made on facts, not on promises.
Next.js (App Router), React and Redux Toolkit on the front; a Node.js API on MongoDB with a versioned data model, validation on input and generated migrations; Redis for cache and state; Stripe for payments. All of it in JavaScript (ES Modules), with no TypeScript imposed, and documented conventions.
Yes. GitHub export is available at any time from the editor: you review, version and evolve the code in your own repository, with your own continuous integration. You can also keep working inside Kubbler, alternating prompt and code on the same project.
On the product layer, yes: screens, copy, layout, data model, business routes, within the foundation's conventions. Never on the foundations: authentication, payments, security, migrations, deployment are code written and reviewed by humans, identical for every project. What the AI produces is checked before being saved: the project has to build and follow the conventions.
An end-to-end encrypted vault, per environment; variables are injected at deploy time, never in browser code, never in an image. Development and production are separate, with a test version before every release on the plans that include it.
Yes: business logic lives in controllers, modules and hooks that belong to you, and you import whatever libraries you want. The foundation provides the context (session, validation, data access, job queues) and checks the output; what you write inside is free.
Fixes and evolutions of the foundation are deployed for every project at the same time, with no action on your part: a vulnerability fixed for one is fixed for all. Your product layer only changes when you decide.
Read the code before you believe us.
Free during the beta. Generate a project, open the repository, read the conventions, judge for yourself: it's the only demonstration that counts for a developer.