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January 8, 20268 min readRefactor Legacy Codebases:

Refactor Legacy Codebases: AI-Powered UI Reconstruction from Screen Recordings

R
Replay Team
Developer Advocates

TL;DR: Replay leverages AI to reconstruct working UI code from screen recordings, enabling rapid refactoring and modernization of legacy codebases.

Refactor Legacy Codebases: AI-Powered UI Reconstruction from Screen Recordings#

Legacy codebases. The very phrase can send shivers down a developer’s spine. Complex, undocumented, and often fragile, these systems are the bane of modernization efforts. Traditional refactoring is a slow, painstaking process, fraught with risk. But what if you could bypass the manual reverse-engineering and generate working UI code directly from observing the existing system in action?

Enter Replay, a revolutionary video-to-code engine that uses Gemini to reconstruct working UI from screen recordings. Forget static screenshots; Replay analyzes video to understand user behavior and intent, offering a faster, more accurate, and less error-prone approach to legacy UI refactoring.

The Problem with Legacy UI Refactoring#

Traditional UI refactoring is a minefield:

  • Lack of Documentation: Understanding the original intent behind the UI can be nearly impossible.
  • Hidden Dependencies: Changes in one area can unexpectedly break functionality elsewhere.
  • Manual Reverse Engineering: Developers spend countless hours deciphering complex code and recreating UI elements.
  • High Risk of Errors: Manual processes are prone to human error, leading to bugs and regressions.
  • Time-Consuming: The entire process can take weeks or even months, delaying modernization efforts.

Screenshot-to-code tools offer a partial solution, but they only capture the visual representation of the UI, not the underlying behavior. They lack the context needed to generate truly functional code. This is where Replay shines.

Behavior-Driven Reconstruction: Video as Source of Truth#

Replay's core innovation is "Behavior-Driven Reconstruction." Instead of relying on static images, Replay analyzes video recordings of users interacting with the legacy UI. This allows the engine to understand:

  • User Flows: How users navigate through the application.
  • Input Handling: How the UI responds to different user inputs.
  • State Management: How the UI changes based on user actions.
  • Underlying Logic: Inferring the logic behind UI elements based on observed behavior.

This deeper understanding enables Replay to generate more accurate, functional, and maintainable code. Replay doesn't just see what the UI looks like; it understands what the user is trying to do.

Replay in Action: A Step-by-Step Guide to Legacy UI Refactoring#

Here's how you can use Replay to refactor your legacy UI:

Step 1: Capture Screen Recordings

Record videos of users interacting with the legacy UI. Focus on capturing common user flows and critical functionalities. The clearer the recordings, the better the results.

💡 Pro Tip: Use a screen recording tool that captures mouse movements and keyboard inputs for richer behavioral data.

Step 2: Upload to Replay

Upload the screen recordings to the Replay platform. Replay supports various video formats and offers secure storage for your data.

Step 3: Configure Reconstruction Settings

Configure the reconstruction settings based on your specific needs. This includes:

  • Target Framework: Choose the desired framework for the generated code (e.g., React, Vue, Angular).
  • Style Injection: Select a styling method (e.g., CSS Modules, Styled Components, Tailwind CSS).
  • Supabase Integration: Optionally connect to a Supabase database for data persistence.
  • Multi-Page Generation: Enable multi-page generation to reconstruct entire application flows.

Step 4: Generate the Code

Let Replay analyze the videos and generate the UI code. This process typically takes a few minutes, depending on the length and complexity of the recordings.

Step 5: Review and Refine

Review the generated code and make any necessary refinements. Replay provides a user-friendly interface for editing and customizing the code.

📝 Note: While Replay aims for high accuracy, some manual adjustments may be required to fine-tune the generated code.

Step 6: Integrate into Your Project

Integrate the generated code into your existing project. This may involve replacing legacy UI components with the new, reconstructed code.

Example: Reconstructing a Simple Form#

Let's say you have a legacy form written in vanilla JavaScript that you want to refactor into React. Here's how Replay can help:

  1. Record a video of a user filling out the form.
  2. Upload the video to Replay.
  3. Select React as the target framework.
  4. Generate the code.

Replay might generate something like this:

typescript
// React component generated by Replay import React, { useState } from 'react'; const MyForm = () => { const [name, setName] = useState(''); const [email, setEmail] = useState(''); const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); // Simulate form submission alert(`Name: ${name}, Email: ${email}`); }; return ( <form onSubmit={handleSubmit}> <div> <label htmlFor="name">Name:</label> <input type="text" id="name" value={name} onChange={(e) => setName(e.target.value)} /> </div> <div> <label htmlFor="email">Email:</label> <input type="email" id="email" value={email} onChange={(e) => setEmail(e.target.value)} /> </div> <button type="submit">Submit</button> </form> ); }; export default MyForm;

This is a simplified example, but it demonstrates how Replay can automatically generate functional React code from a screen recording.

Key Features of Replay#

Replay offers a range of features designed to streamline the legacy UI refactoring process:

  • Multi-Page Generation: Reconstruct entire application flows, not just individual pages.
  • Supabase Integration: Connect to a Supabase database for seamless data persistence.
  • Style Injection: Choose from various styling methods to match your project's aesthetic.
  • Product Flow Maps: Visualize user flows and identify potential bottlenecks in the UI.

Replay vs. Traditional Methods and Other Tools#

Here's a comparison of Replay with traditional refactoring methods and other tools:

FeatureTraditional RefactoringScreenshot-to-Code ToolsReplay
Video Input
Behavior AnalysisPartial
Code AccuracyVariableLowHigh
Time SavingsLowModerateHigh
Risk of ErrorsHighModerateLow
Understanding IntentLowLowHigh
Multi-Page SupportManualLimited

⚠️ Warning: Replay is not a magic bullet. While it significantly accelerates the refactoring process, some manual adjustments may still be required.

Benefits of Using Replay#

Using Replay for legacy UI refactoring offers several key benefits:

  • Accelerated Development: Generate working UI code in minutes, not weeks.
  • Reduced Errors: Minimize the risk of human error with AI-powered reconstruction.
  • Improved Accuracy: Capture user behavior and intent for more functional code.
  • Lower Costs: Reduce development time and resources.
  • Modernized UI: Breathe new life into legacy systems with modern UI frameworks.
  • Better Understanding: Gain insights into user flows and application behavior.

Optimizing Replay's Output: Best Practices#

To get the most out of Replay, follow these best practices:

  1. High-Quality Recordings: Ensure your screen recordings are clear and well-lit.
  2. Comprehensive Coverage: Capture a wide range of user flows and interactions.
  3. Detailed Annotations: Add annotations to your recordings to provide additional context.
  4. Iterative Refinement: Review and refine the generated code iteratively.
  5. Testing, Testing, Testing: Thoroughly test the reconstructed UI to ensure functionality and stability.
typescript
// Example of adding a comment to the generated code for clarity // TODO: Implement proper error handling for form submission const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); // Simulate form submission alert(`Name: ${name}, Email: ${email}`); };

Addressing Potential Challenges#

While Replay is a powerful tool, it's important to be aware of potential challenges:

  • Complex Interactions: Reconstructing highly complex interactions may require more manual refinement.
  • Dynamic Content: Reconstructing UIs with highly dynamic content may be challenging.
  • Data Dependencies: Ensuring proper data integration may require additional configuration.

However, Replay's advanced AI algorithms are constantly evolving to address these challenges.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited features and usage. Paid plans are available for more advanced features and higher usage limits. Check the Replay website for the most up-to-date pricing information.

How is Replay different from v0.dev?#

While both Replay and v0.dev aim to generate code, they use fundamentally different approaches. v0.dev primarily relies on text prompts to generate UI components. Replay, on the other hand, analyzes video recordings of existing UIs to reconstruct working code. This makes Replay particularly well-suited for refactoring legacy systems, where the existing UI serves as the source of truth. Replay understands the behavior of the UI, not just its appearance.

What frameworks does Replay support?#

Replay currently supports React, Vue, and Angular. Support for additional frameworks is planned for future releases.

Can Replay handle complex animations?#

Replay can capture and reconstruct simple animations. However, highly complex animations may require manual adjustments.

How secure is my data when using Replay?#

Replay uses industry-standard security measures to protect your data. All data is encrypted in transit and at rest.


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