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January 5, 20269 min readBest Figma Plugins

Best Figma Plugins Alternatives: Native Swift Code via design video in 2026

R
Replay Team
Developer Advocates

TL;DR: In 2026, design video-to-code engines like Replay are surpassing Figma plugins for generating native Swift code by directly analyzing user behavior and intent from video recordings.

The era of static design-to-code tools is fading. In 2026, the limitations of Figma plugins for generating Swift code are becoming increasingly apparent, especially when compared to the capabilities of behavior-driven reconstruction engines. These new tools analyze video recordings of user interactions to produce functional, native code, offering a more dynamic and accurate representation of the intended user experience. Let’s explore why video-to-code is the future and how Replay is leading the charge.

The Rise of Behavior-Driven Reconstruction#

Traditional design-to-code tools, including Figma plugins, rely on static designs as their source of truth. This approach often leads to inaccuracies and requires significant manual adjustments to achieve the desired functionality. The disconnect arises because static designs can't fully capture the nuances of user behavior and intent.

Behavior-driven reconstruction, on the other hand, uses video recordings of user interactions as the primary input. This allows the system to understand how a user interacts with the interface, not just what the interface looks like. By analyzing user actions, transitions, and data inputs, these engines can generate code that accurately reflects the intended user experience.

Replay is a prime example of this new paradigm. It analyzes video recordings to understand user behavior and reconstruct functional UI, complete with multi-page generation, Supabase integration, style injection, and product flow maps.

Figma Plugins: Limitations in 2026#

While Figma plugins have been valuable tools for designers and developers, they suffer from inherent limitations:

  • Static Design Dependency: Plugins rely on the fidelity and accuracy of the design within Figma. Any discrepancies between the design and the intended user experience will be reflected in the generated code.
  • Limited Behavior Understanding: Plugins cannot inherently understand user behavior or intent. They can only translate the visual elements of the design into code.
  • Manual Adjustments Required: The code generated by plugins often requires significant manual adjustments to achieve the desired functionality and user experience.
  • Version Control Challenges: Managing changes and updates across design and code can be complex and error-prone.

In contrast, video-to-code solutions address these limitations by analyzing real user interactions and generating code that accurately reflects the intended behavior.

Replay: A Video-to-Code Revolution#

Replay takes a fundamentally different approach to code generation. Instead of relying on static designs, it analyzes video recordings of user interactions to understand behavior and reconstruct functional UI. This approach offers several key advantages:

  • Behavior-Driven Reconstruction: Replay understands what users are trying to do, not just what they see. This allows it to generate code that accurately reflects the intended user experience.
  • Multi-Page Generation: Replay can generate code for multi-page applications, preserving navigation and data flow across pages.
  • Supabase Integration: Replay seamlessly integrates with Supabase, allowing you to easily connect your UI to a backend database.
  • Style Injection: Replay can inject styles into your code, ensuring that the generated UI matches your design aesthetic.
  • Product Flow Maps: Replay generates product flow maps that visualize the user journey through your application, providing valuable insights into user behavior.

Example: Reconstructing a Login Flow#

Let's consider a simple example of reconstructing a login flow. A traditional Figma plugin would only be able to generate the UI elements of the login form based on the design. Replay, on the other hand, can analyze a video recording of a user interacting with the login form, including entering credentials, submitting the form, and handling errors.

Based on this analysis, Replay can generate code that not only recreates the UI elements but also implements the logic for handling user input, authenticating credentials, and displaying error messages.

typescript
// Example of code generated by Replay for handling user login const handleLogin = async (email, password) => { try { const response = await fetch('/api/login', { method: 'POST', headers: { 'Content-Type': 'application/json', }, body: JSON.stringify({ email, password }), }); const data = await response.json(); if (response.ok) { // Handle successful login console.log('Login successful:', data); } else { // Handle login error console.error('Login failed:', data.error); alert(data.error); // Display error to user } } catch (error) { console.error('An error occurred:', error); alert('An unexpected error occurred. Please try again.'); } };

This code snippet demonstrates how Replay can generate functional code that handles user input, makes API requests, and handles errors, based on the observed user behavior in the video recording.

Comparing Figma Plugins and Replay#

The following table highlights the key differences between Figma plugins and Replay:

FeatureFigma PluginsReplay
InputStatic DesignsVideo Recordings
Behavior Analysis
Multi-Page GenerationLimited
Supabase IntegrationRequires Manual Setup
Style InjectionLimited
Product Flow Maps
Code AccuracyLowerHigher
Manual AdjustmentsSignificantMinimal
Understanding User Intent
Native Swift CodeLimited, Often Requires BridgingDirect Generation, No Bridging
Code MaintenanceCan be complexSimplified due to behavior-driven generation

💡 Pro Tip: Video-to-code engines can also be used to reverse engineer existing applications. Simply record a video of yourself using the application, and Replay can generate the corresponding code.

Addressing Common Concerns#

Some common concerns about video-to-code solutions include:

  • Accuracy: How accurate is the generated code? Replay uses advanced AI algorithms to ensure high accuracy. The generated code is typically 90-95% accurate, requiring only minor adjustments.
  • Complexity: Is it difficult to use video-to-code tools? Replay is designed to be user-friendly, with a simple and intuitive interface. You can start generating code with just a few clicks.
  • Security: Is it safe to upload video recordings? Replay uses industry-standard security measures to protect your data. All video recordings are encrypted and stored securely.

Step-by-Step Guide to Using Replay#

Here's a simple guide to generating Swift code using Replay:

Step 1: Record a Video#

Record a video of yourself interacting with the UI you want to reconstruct. Make sure to capture all the key interactions and data inputs.

📝 Note: The clarity and quality of the video recording can impact the accuracy of the generated code. Ensure good lighting and stable video.

Step 2: Upload the Video to Replay#

Upload the video recording to Replay. Replay will automatically analyze the video and reconstruct the UI.

Step 3: Review and Adjust the Generated Code#

Review the generated code and make any necessary adjustments. Replay provides a visual interface for editing the code and previewing the UI.

Step 4: Integrate with Your Project#

Integrate the generated code into your Swift project. Replay provides code snippets and instructions for integrating the code with your existing codebase.

swift
// Example Swift code (generated and potentially adjusted from Replay) import SwiftUI struct ContentView: View { @State private var email: String = "" @State private var password: String = "" var body: some View { VStack { TextField("Email", text: $email) .padding() .keyboardType(.emailAddress) .autocapitalization(.none) SecureField("Password", text: $password) .padding() Button("Login") { // Call your login function here loginUser(email: email, password: password) } .padding() } .padding() } func loginUser(email: String, password: String) { // Placeholder for your actual login logic print("Attempting to login with email: \(email), password: \(password)") // You would typically make an API call here } }

⚠️ Warning: Always review and test the generated code thoroughly before deploying it to production. While Replay strives for high accuracy, manual verification is essential.

The Future of Code Generation#

The shift from static design-to-code to behavior-driven reconstruction represents a significant advancement in code generation technology. As AI and machine learning continue to evolve, video-to-code solutions will become even more powerful and accurate. In the future, we can expect to see:

  • Improved Accuracy: AI algorithms will become even better at understanding user behavior and generating accurate code.
  • Increased Automation: The entire code generation process will become more automated, requiring less manual intervention.
  • Support for More Platforms: Video-to-code solutions will support a wider range of platforms and programming languages.
  • Real-Time Code Generation: Code will be generated in real-time as users interact with the interface.

Replay is at the forefront of this revolution, empowering developers to build better applications faster and more efficiently.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited features. Paid plans are available for users who need more advanced capabilities, such as multi-page generation and Supabase integration. Check the Replay pricing page for the most up-to-date information.

How is Replay different from v0.dev?#

v0.dev focuses on generating UI components based on text prompts. Replay, on the other hand, analyzes video recordings of user interactions to reconstruct entire UIs, including behavior and data flow. Replay excels at capturing the nuances of user experience that are often missed by text-based approaches. Replay also excels at generating entire product flows, not just individual components.

What types of videos can Replay analyze?#

Replay can analyze screen recordings of any UI, including web applications, mobile applications, and desktop applications. The video should be clear and stable, with good lighting.

What programming languages does Replay support?#

Replay currently supports Swift, React, and HTML/CSS. Support for other languages is planned for the future.


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