Development & Code

Dreamflow

Dreamflow brings AI-powered app building to production-ready Flutter development through what the team calls tri-surface editing

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Dreamflow brings AI-powered app building to production-ready Flutter development through what the team calls tri-surface editing. This approach lets builders switch between AI prompts, a visual canvas, and direct code editing while keeping everything synchronized. Change something in code and the visual representation updates. Adjust a component on the canvas and the code reflects it immediately. Describe what you want through AI and both the visual layout and underlying code adapt. The system comes from the team behind FlutterFlow, which has attracted over 2 million builders to date.

The AI generation works with context awareness rather than treating each prompt as isolated. It understands Flutter patterns and best practices, so generated code follows conventions that experienced Flutter developers would recognize. When you ask for a login screen or payment flow, the system considers responsive design requirements automatically, adapting layouts for different screen sizes without separate instructions for each device type.

Backend integration comes pre-configured for Firebase and Supabase. You don't configure authentication flows or database connections from scratch. The managed integrations handle common setup tasks, letting builders focus on app-specific logic rather than infrastructure. Once development reaches deployment stage, Dreamflow handles distribution to the App Store, Play Store, and web platforms through single-click publishing.

The free plan provides 10 AI credits as a one-time allocation for getting started. It comes with private project creation with both visual and code editing capabilities, the managed backend integrations, and deployment exclusively to web. Mobile deployment requires a paid plan. Code export isn't available on free either. Neither is running apps locally on simulators or physical devices for testing.

Hobby tier costs $20 monthly and includes 100 credits per month. This enables deployment to iOS and Android app stores, full code export, and local testing on simulators and actual devices. Unlimited private projects come standard. The credit allocation resets monthly rather than accumulating.

Pro tier runs $90 monthly with 500 credits per month. It adds version control through Git integration, which Hobby and Free users can't access. Priority access to premium AI models also differentiates Pro from lower tiers. Everything from Hobby carries over.

Enterprise pricing follows custom arrangements. This tier adds dedicated support, onboarding assistance, advanced access control for larger teams, the ability to bring your own AI models rather than using Dreamflow's defaults, SLA guarantees with uptime commitments, and private cloud deployment options for organizations with specific infrastructure requirements.

The credit system governs AI generation usage across all tiers. Ten credits on Free won't support extended development. Hobby's 100 monthly credits suit individuals building side projects or testing MVPs. Pro's 500 credits target more intensive usage from founders running multiple experiments or small teams collaborating on a single platform.

The visual canvas handles layout and component arrangement. The code editor provides full Flutter access for developers who want granular control. The AI prompt interface serves builders who prefer describing desired functionality in natural language. All three stay synchronized regardless of which surface initiated a change. This matters most when teams include both developers comfortable with code and non-technical members who prefer visual tools. Everyone works on the same project without translation layers or import-export cycles.

Flutter's cross-platform foundation means apps built in Dreamflow run natively on iOS and Android from a single codebase. Responsive behavior adapts automatically to tablets, phones, and web browsers without maintaining separate versions.

Frequently asked

7 questions

Does Dreamflow have a free plan?

Dreamflow offers a free plan with 10 AI credits provided as a one-time starter allocation rather than a monthly refresh. The free tier includes private project creation with both visual and code editing, managed backend integrations for Firebase and Supabase, and deployment capability limited to web only. Mobile deployment to iOS or Android app stores requires upgrading to a paid plan. Code export and local testing on simulators or real devices aren't available on the free tier either, restricting how you can work with the generated Flutter code outside Dreamflow's platform.

How much does Dreamflow cost per month?

Paid plans start at $20 monthly for Hobby tier with 100 AI credits per month, full code export, and deployment to App Store, Play Store, and web. Pro tier costs $90 monthly and provides 500 credits per month, Git version control, and priority access to premium AI models. Enterprise pricing follows custom arrangements based on organizational needs, adding dedicated support, SLA guarantees, private cloud deployment, and the ability to bring your own AI models. Credits reset monthly on paid plans rather than rolling over unused allocation to the next billing period.

Can I export code from Dreamflow?

Code export becomes available starting with the Hobby plan at $20 monthly, not on the free tier. When you export, you receive the full Flutter codebase that Dreamflow generates and synchronizes across its visual canvas, code editor, and AI prompt interfaces. The exported code follows Flutter conventions and best practices since the AI generation system understands these patterns contextually. Pro and Enterprise tiers include code export along with additional features like Git integration for version control, which matters when managing exported code in external repositories.

What are the limitations of Dreamflow's free plan?

The free plan's 10 AI credits come as a one-time allocation rather than refreshing monthly, which severely limits how much AI-assisted development you can complete. Deployment works only for web, blocking you from publishing to iOS App Store or Google Play Store without upgrading. Code export isn't available, preventing you from taking the Flutter code outside Dreamflow's platform or working with it in other development environments. Local testing on simulators or physical devices also requires a paid plan, forcing free users to rely solely on Dreamflow's web preview for testing app behavior and performance.

Can I build a mobile app with Dreamflow for free?

Building a mobile app on the free plan works within Dreamflow's editor using the 10 one-time AI credits, visual canvas, and code editing, but deployment to actual mobile devices requires upgrading. The free tier restricts deployment to web only, meaning you can't publish to the App Store or Play Store. You also can't test on iOS or Android simulators or real devices locally since those capabilities require Hobby tier at minimum. The free plan essentially lets you prototype and preview through web deployment, but getting a functioning mobile app into users' hands needs the $20 monthly Hobby plan for mobile deployment and local testing access.

How does Dreamflow's tri-surface editing work?

Tri-surface editing means you can switch between AI prompts, a visual canvas, and direct Flutter code editing while all three stay synchronized automatically. When you modify code in the editor, the visual representation updates immediately to reflect those changes, and vice versa. Describing desired functionality through AI prompts generates both the visual layout and underlying Flutter code simultaneously. This synchronization matters most for teams mixing developers who prefer code with non-technical members who work visually, since everyone collaborates on the same project without importing or exporting between different tools or formats.

What's the difference between Dreamflow Hobby and Pro plans?

Hobby at $20 monthly provides 100 credits per month while Pro at $90 monthly offers 500 credits, making Pro better suited for intensive development or small teams rather than individual side projects. Pro adds Git version control integration, which Hobby lacks entirely, enabling proper version history and collaboration workflows through standard Git repositories. Priority access to premium AI models on Pro means faster response times and access to more advanced generation capabilities compared to Hobby's standard model access. Both tiers include mobile deployment, code export, and local testing, so the jump to Pro mainly benefits users hitting Hobby's credit limits or needing Git-based workflows for team collaboration.