From business idea to production, in one Flow.

Flow turns a plain-language description into a working full-stack prototype inside your own project. It generates against your templates, security policies and review gates, runs in an isolated workspace with its own virtual file system and preview runner, and hands the result to engineering to take over.

No, and the difference is what bounds the generation. Flow builds on Context Catalog, your real IT landscape instead of an invented data model, and runs inside AI Foundry's governed Playbooks, with template, stack and security checks while the prototype takes shape. Vibe coding skips exactly those.

No. You describe what you need in plain language in the chat and watch the prototype run in the Canvas. The code stays visible and editable for the people who read code, and production remains engineering's call: Flow hands them a working starting point, not a finished system.

A scaffolded, API-integrated asset in your connected Mia-Platform project, on the CI/CD pipeline it already uses, built against your approved templates and deployed on your own stack. Engineers continue from there instead of rebuilding a throwaway prototype.

No. Each session gets its own isolated workspace, and the agent writes into a file system of its own. Changes accumulate there and reach your code only when someone pushes them, which is also why you review something running in the Canvas rather than a diff.

Yes. The three services behind Flow, workspace, virtual file system and preview runner, are open over MCP, so an AI IDE like Claude Code, an agent your team wrote or another app in the Mia-Platform suite can drive the same workspace under the same rules: one rule set for every coding agent your teams use.

AI Foundry. Your teams author and govern Playbooks, skills, tools and guardrails there, and Flow consumes them instead of keeping a set of its own. Change the approved model or tool once in Foundry and Flow follows.