Dreamflow

About Dreamflow

Dreamflow is a next-generation, cloud-based development platform engineered to accelerate the creation of production-ready mobile and web applications. It uniquely integrates three distinct but synchronized development surfaces: an AI-powered conversational agent, a powerful visual editor, and direct access to full Flutter source code. This tri-surface architecture is designed for developers, product teams, and entrepreneurs who demand both the rapid prototyping capabilities of AI and no-code tools, and the absolute control and scalability of professional-grade code. The platform's core value proposition is eliminating the traditional trade-off between speed and control. Unlike prototype-only AI builders or restrictive no-code platforms, Dreamflow ensures that every change made via an AI prompt, a drag-and-drop action on the visual canvas, or a manual code edit is instantly reflected across all other surfaces. This results in a seamless workflow where teams can start with an AI-generated scaffold, visually refine the UI and logic, and then dive into the generated Dart/Flutter code for complex features or custom integrations, all while maintaining a single, consistent codebase. Built by the team behind FlutterFlow and trusted by over 2 million builders, Dreamflow outputs fully deployable Flutter projects that can be published directly to the Apple App Store, Google Play Store, and the web with one-click deployment or exported for further development in any standard IDE.

Features of Dreamflow

Tri-Surface Synchronized Editing

Dreamflow's foundational feature is its seamless synchronization between three editing modalities: the Agentic (AI prompt) interface, the Visual canvas, and the direct Code editor. This architecture ensures that modifications in any one surface are instantly and accurately propagated to the others. You can describe a feature in natural language to the AI agent, see it materialize on the visual canvas, and then inspect or modify the underlying Flutter/Dart code it generated, all without breaking the project's integrity. This eliminates the "lock-in" typical of other tools, providing unparalleled flexibility throughout the development lifecycle.

AI-Powered Context-Aware Generation

The platform's integrated AI is engineered for software development, going beyond simple code completion. It understands application patterns, Flutter best practices, and your project's specific context to scaffold entire features, widgets, and logic flows correctly. You can prompt it to generate complex components like authenticated user dashboards, data-driven lists with Firestore integration, or custom navigation structures, and it will produce production-suitable code that adheres to the platform's visual design system and architectural standards.

Multi-Platform Deployment & Responsive Design

Dreamflow leverages the power of the Flutter framework to enable building for multiple platforms from a single codebase. The visual editor includes robust tools for creating responsive layouts that automatically adapt to different screen sizes, from mobile phones to tablets and desktop web browsers. With a few clicks, users can deploy their applications directly to the web, iOS, and Android app stores, as the platform handles much of the configuration and build process required for production deployment.

Integrated Backend & Full-Stack Capabilities

The platform offers out-of-the-box integration with leading backend-as-a-service providers, specifically Firebase and Supabase. This allows developers to build full-stack applications with real-time databases, user authentication, cloud functions, and storage without managing server infrastructure. These integrations are visually configurable within the canvas and are reflected in clean, well-structured code, enabling the creation of scalable, data-driven applications from day one.

Use Cases of Dreamflow

Rapid Prototyping and MVP Development

Entrepreneurs and product managers can transform a conceptual idea into a functional, interactive prototype or minimum viable product (MVP) in a matter of hours. By describing the app's core functionality to the AI agent, they can generate a working foundation, visually adjust the user flow and interface, and immediately share a deployable link for stakeholder feedback or early market validation, dramatically shortening the feedback loop.

Professional Developer Workflow Acceleration

Experienced Flutter developers can use Dreamflow to accelerate the initial setup and boilerplate creation for new projects. They can use AI prompts to generate standard app structures (e.g., a tabbed navigation app with a settings page) or complex widgets, then switch to the code editor to implement advanced custom logic, unique animations, or third-party package integrations, all while maintaining a clean, exportable codebase.

Cross-Functional Team Collaboration

Product teams comprising designers, product owners, and engineers can collaborate effectively on a single platform. Designers can fine-tune UI components on the visual canvas, product owners can request feature changes via the chat-based AI agent, and engineers can simultaneously work on the business logic in the code editor. The synchronized surfaces ensure everyone is always aligned on the latest version, reducing miscommunication and rework.

Educational Tool for Learning Flutter Development

Aspiring developers and students learning mobile development can use Dreamflow to understand the relationship between visual design, UI logic, and generated code. They can build an app visually, observe the Flutter code that is produced in real-time, and experiment by making changes in either environment to see the cause-and-effect, providing a practical, hands-on method for mastering the Flutter framework.

Frequently Asked Questions

What is the difference between Dreamflow and traditional no-code platforms?

Traditional no-code platforms often abstract away the underlying code, creating a "black box" that limits customization and makes it difficult to export for further development. Dreamflow is fundamentally different; it is a professional development tool that generates standard, clean Flutter/Dart code. While it offers visual and AI-driven speed, it never locks you out of the code. You have full access to, and ownership of, the entire codebase, which can be exported and developed further in any standard IDE like VS Code or Android Studio.

Can I use my own backend or APIs with Dreamflow?

Yes, absolutely. While Dreamflow provides seamless built-in integration for Firebase and Supabase for rapid full-stack development, it does not restrict you to these services. The generated Flutter code is standard and can be modified to connect to any custom backend, REST API, GraphQL endpoint, or third-party service by adding the necessary Dart packages and code within the platform's code editor or after exporting the project.

What happens to my projects if I cancel my subscription?

Dreamflow is designed to ensure you always own your work. If you cancel your subscription, you retain access to export the full Flutter source code for all your projects. You can then continue developing, building, and publishing those applications independently using Flutter's open-source toolchain. Your ability to use the cloud-based Dreamflow editor for active development would be limited according to the terms of the Free plan.

Is the code generated by Dreamflow production-ready?

Yes, the Flutter code generated by Dreamflow is structured, readable, and follows common best practices for the framework. It is designed to be production-ready, allowing for direct deployment to app stores. The platform encourages and supports scalable practices, such as clear widget separation and integration with professional state management solutions. The code is intended to be maintainable and extensible by development teams.

Pricing of Dreamflow

Dreamflow offers a tiered pricing model based on a credit system, which is used for AI generations and certain deployment actions. The Free plan provides 10 credits at no cost, ideal for initial testing and building basic apps, and includes 1-click web deployment. The Hobby plan costs $20 per month for 100 credits, adding 1-click iOS/Android deployment, unlimited private projects, and 1-click code export, suitable for individuals publishing a single app. The Pro plan, at $90 monthly for 500 credits, includes priority access to premium AI models and Git access, catering to professionals building multiple or more complex applications. For larger teams and organizations, Enterprise plans offer custom pricing with features like dedicated support, advanced access control (SSO), SLAs, private cloud deployment options, and the ability to bring your own AI models.