TL;DR: Forget static Figma plugins - Replay uses video analysis to reconstruct fully functional, native Swift UI from user behavior recordings, offering a more dynamic and accurate design-to-code solution.
Figma plugins are fantastic for prototyping, but when it comes to generating production-ready Swift code, they often fall short. You're left tweaking, debugging, and essentially rewriting large chunks of the generated output. In 2026, we need solutions that understand user intent, not just visual layouts. That's where behavior-driven reconstruction shines, and where Replay is changing the game.
The Problem with Static Design-to-Code#
Traditional Figma plugins treat designs as static blueprints. They translate visual elements into code, but they don't understand how users interact with those elements. This leads to several problems:
- •Missing Functionality: Complex interactions (animations, state changes, data handling) are rarely captured accurately.
- •Inflexible Code: The generated code is often rigid and difficult to customize.
- •Maintenance Headaches: Changes in the design require regenerating the code, leading to merge conflicts and rework.
⚠️ Warning: Relying solely on static design-to-code tools can create a false sense of progress, ultimately slowing down development.
Behavior-Driven Reconstruction: The Future of UI Development#
Instead of relying on static designs, imagine a tool that can analyze video recordings of user interactions and reconstruct the UI based on actual behavior. This is the core idea behind behavior-driven reconstruction, and it's what makes Replay so powerful.
Replay analyzes video, not just screenshots, to understand user flows, animations, and data interactions. It then uses this understanding to generate clean, maintainable Swift code that reflects the intended behavior of the UI.
Replay vs. Figma Plugins: A Detailed Comparison#
Let's compare Replay to traditional Figma plugins and other design-to-code tools:
| Feature | Figma Plugins (e.g., Anima, Swiftify) | Screenshot-to-Code (e.g., TeleportHQ) | Replay |
|---|---|---|---|
| Input | Static Figma Design | Screenshot | Video |
| Code Quality | Variable, often requires significant rework | Basic, limited functionality | High, designed for maintainability |
| Behavior Analysis | Limited, relies on manual annotations | None | ✅ Full behavior-driven reconstruction |
| Native Swift | Partial, often generates web-based UI | Limited, struggles with complex layouts | ✅ Native Swift code generation |
| Multi-Page Support | Limited | Limited | ✅ Multi-page application reconstruction |
| Supabase Integration | Requires manual setup | Requires manual setup | ✅ Built-in Supabase integration |
| Style Injection | Limited | Limited | ✅ Style injection for consistent branding |
| Product Flow Maps | ❌ | ❌ | ✅ Automatically generates product flow maps |
| Understanding of User Intent | ❌ | ❌ | ✅ Reconstructs UI based on user behavior |
As you can see, Replay offers a significant advantage in terms of code quality, behavior analysis, and overall functionality.
Building a Native Swift UI with Replay: A Step-by-Step Guide#
Here's how you can use Replay to generate native Swift code from a video recording:
Step 1: Capture the User Flow#
Record a video of yourself (or a user) interacting with the UI you want to reconstruct. Be sure to capture all the key interactions, animations, and data inputs.
💡 Pro Tip: Speak clearly and explain your actions in the video. This helps Replay understand your intent.
Step 2: Upload to Replay#
Upload the video to Replay. The engine will analyze the video and generate a working Swift UI.
Step 3: Review and Refine#
Review the generated code and make any necessary adjustments. Replay provides a visual editor that allows you to easily modify the UI and code.
📝 Note: Replay's AI model is constantly improving, so the more you use it, the better it will become at understanding your needs.
Step 4: Integrate with Your Project#
Copy the generated Swift code into your Xcode project and start building your app.
Example: Reconstructing a Simple Login Screen#
Let's say you have a video of a user logging into an app. Here's how Replay might generate the Swift code for the login screen:
swift// Generated by Replay import SwiftUI struct LoginView: View { @State private var username = "" @State private var password = "" var body: some View { VStack { TextField("Username", text: $username) .padding() .border(Color.gray, width: 1) SecureField("Password", text: $password) .padding() .border(Color.gray, width: 1) Button("Login") { // Handle login logic here loginUser(username: username, password: password) } .padding() .background(Color.blue) .foregroundColor(.white) .cornerRadius(5) } .padding() } func loginUser(username: String, password: String) { // Placeholder for actual login implementation print("Logging in with username: \(username) and password: \(password)") } }
This is a simplified example, but it demonstrates how Replay can generate functional Swift code from a video recording.
Now, let's look at how Replay handles data fetching, which is a common challenge with traditional design-to-code tools:
typescript// Example of data fetching with Supabase integration (generated by Replay) import { createClient } from '@supabase/supabase-js' const supabaseUrl = 'YOUR_SUPABASE_URL' const supabaseKey = 'YOUR_SUPABASE_ANON_KEY' const supabase = createClient(supabaseUrl, supabaseKey) async function fetchUserProfile(userId: string) { const { data, error } = await supabase .from('profiles') .select('*') .eq('id', userId) .single() if (error) { console.error('Error fetching profile:', error) return null } return data }
This code snippet showcases Replay's ability to integrate seamlessly with Supabase, allowing you to easily fetch and display data in your Swift UI. The tool understands that you were fetching a user profile in the video and automatically generates the necessary Supabase code.
Addressing Common Concerns#
Here are some common concerns about behavior-driven reconstruction and how Replay addresses them:
- •Privacy: Replay is committed to protecting user privacy. All video recordings are processed securely and anonymized.
- •Accuracy: Replay's AI model is constantly improving, but it's not perfect. You may need to make some adjustments to the generated code.
- •Complexity: Replay is designed to handle complex UIs, but it may struggle with extremely intricate designs.
Frequently Asked Questions#
Is Replay free to use?#
Replay offers a free tier with limited features. Paid plans are available for more advanced functionality and higher usage limits.
How is Replay different from v0.dev?#
While both tools aim to generate code from designs, v0.dev primarily works with static prompts and component libraries. Replay, on the other hand, analyzes video recordings to understand user behavior and generate code based on that behavior, offering a more dynamic and accurate solution.
What kind of videos can Replay process?#
Replay can process any video that clearly shows the UI and user interactions. The better the video quality, the more accurate the code generation will be.
Can Replay generate code for animations and transitions?#
Yes, Replay can analyze animations and transitions in the video and generate the corresponding Swift code.
Ready to try behavior-driven code generation? Get started with Replay - transform any video into working code in seconds.