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What is Collab.codes?

What is Collab.codes?

Collab.codes is a platform for creating, running, collaborating on, governing, and evolving business software with AI.

It is not only a code generator.

Code generation is part of the story, but companies need more than generated files. They need applications that can run in production, authenticate users, execute backend routines, preserve audit trails, support collaboration, control AI costs, and evolve without losing product intent.

The product model

Collab.codes is organized around three core dimensions.

Creation

Creation is where business intent becomes software.

This includes Studio, AI-assisted editing, page comments, suggestions, version control, pull requests, Page Genome, i18n by page, and future publishing workflows.

The goal is to reduce manual programming and keep software improvement close to the place where work actually happens.

Runtime

Runtime is where generated software becomes an executable application.

This includes the frontend runtime, backend routines, BFF, authentication, monitoring, auditability, MDM, SPA/PWA behavior, and deployment targets.

In the current reference example, Collab Aura acts as the opinionated master frontend and Collab Forge acts as the opinionated master backend. They are defaults, not a prison: master configuration, frontend, and backend choices must remain customizable.

Collaboration

Collaboration is where people, tasks, messages, mini apps, and AI agents stay connected to the application workflow.

Business work should not constantly escape into screenshots, disconnected chats, spreadsheets, and external task boards. The application should keep the context close to the work.

Why this matters

AI makes it easier to create software quickly.

That shifts the real question.

The question is no longer only:

Can we generate code?

The better question is:

Can we generate and operate a business application that remains understandable, governable, and adaptable?

Collab.codes is designed around that second question.

What to read next

Human review needed

This first page is intentionally small. Before expanding the full documentation tree, verify:

  • public naming for Creation, Runtime, Collaboration, and Managed Platform;
  • how strongly we should describe AI-assisted maintenance;
  • which product names should appear in public docs;
  • which capabilities are implemented now, and which should be marked as roadmap.
Creation, Runtime, and Collaboration