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January 4, 20268 min readReplay vs Cursor:

Replay vs Cursor: Which Video-to-Code AI Generates More Secure Code (2026)?

R
Replay Team
Developer Advocates

TL;DR: Replay leverages behavior-driven reconstruction from video to generate more secure and contextually accurate code compared to Cursor's screenshot-based approach, particularly when dealing with complex user flows and sensitive data.

Security vulnerabilities in AI-generated code are a ticking time bomb. While AI tools rapidly accelerate development, blindly trusting their output can introduce critical weaknesses. The key is context. Understanding what the user intended to do, not just what they saw, is paramount for secure code generation. This is where Replay shines, by analyzing video of user interactions to build secure and functional UIs. Let's compare Replay with Cursor, a tool that focuses on converting static images into code, to see which generates more secure code in 2026.

Understanding the Core Differences: Video vs. Screenshots#

The fundamental difference between Replay and Cursor lies in their input: video versus screenshots. This seemingly simple distinction has profound implications for security.

Cursor, like many screenshot-to-code tools, analyzes static images. It attempts to interpret visual elements and generate code based on what it "sees." This approach is inherently limited because it lacks context about user behavior and intent. It's like trying to understand a movie plot from a single frame.

Replay, on the other hand, analyzes video recordings of user interactions. This "Behavior-Driven Reconstruction" approach captures the dynamic flow of actions, enabling Replay to understand why a user is performing certain steps. This understanding is critical for generating code that not only looks right but also behaves securely.

FeatureCursor (Screenshot-to-Code)Replay (Video-to-Code)
InputStatic ScreenshotsVideo Recordings
Contextual UnderstandingLimited to visual elementsComprehensive understanding of user behavior
Security RiskHigher risk of misinterpreting user intent and introducing vulnerabilitiesLower risk due to behavior-driven analysis
Data HandlingRelies on visual data onlyCaptures user interaction flow, enabling secure data handling
Use CasesSimple UI generation, static componentsComplex UIs, multi-page applications, user flow reconstruction

Security Implications of Limited Context#

Screenshot-to-code tools like Cursor often struggle with:

  • Misinterpreting user intent: A button labeled "Delete" might be intended for deleting a specific item or deleting the entire account. Without understanding the user's preceding actions, the generated code might inadvertently implement the latter.
  • Handling sensitive data: Screenshots often contain sensitive information like passwords, API keys, or personal data. Cursor might inadvertently include these in the generated code, creating a major security vulnerability.
  • Ignoring edge cases: Screenshots only capture a single state of the UI. They don't account for error conditions, loading states, or different user roles. This can lead to code that is vulnerable to unexpected inputs or unauthorized access.

Replay addresses these issues by:

  • Analyzing user flow: By understanding the sequence of actions, Replay can accurately infer the user's intent and generate code that reflects that intent.
  • Detecting and masking sensitive data: Replay can identify and automatically mask sensitive data in the video recording before generating code, preventing accidental exposure.
  • Reconstructing the entire application state: Replay can analyze multiple pages and user flows to reconstruct the entire application state, ensuring that the generated code handles all possible scenarios securely.

Code Examples: A Practical Comparison#

Let's consider a scenario where a user is updating their profile information.

Using Cursor, the generated code might look something like this (based on a screenshot of the profile update form):

typescript
// Potentially insecure code generated by Cursor const handleSubmit = async () => { const name = document.getElementById('name').value; const email = document.getElementById('email').value; // Directly sending data to the server without validation await fetch('/api/updateProfile', { method: 'POST', body: JSON.stringify({ name, email }), }); };

⚠️ Warning: This code lacks crucial validation and sanitization, making it vulnerable to injection attacks and other security threats. It also directly uses values from the DOM, which can be easily manipulated by malicious users.

Replay, analyzing the video of the user interacting with the form, can generate more secure code:

typescript
// Secure code generated by Replay, incorporating validation and sanitization import { validateEmail, sanitizeString } from './utils'; const handleSubmit = async () => { const name = document.getElementById('name').value; const email = document.getElementById('email').value; // Validate and sanitize user input if (!name) { alert('Name is required'); return; } if (!validateEmail(email)) { alert('Invalid email address'); return; } const sanitizedName = sanitizeString(name); const sanitizedEmail = sanitizeString(email); // Send sanitized data to the server await fetch('/api/updateProfile', { method: 'POST', body: JSON.stringify({ name: sanitizedName, email: sanitizedEmail }), }); };

💡 Pro Tip: Replay can automatically integrate with security libraries and best practices to ensure that the generated code is secure by default.

This code includes:

  • Input validation: Checks if the name and email are valid before sending them to the server.
  • Data sanitization: Removes potentially harmful characters from the input to prevent injection attacks.
  • Error handling: Displays informative error messages to the user.

Replay understands that the user is updating their profile and incorporates these security measures based on the context of the video recording.

Multi-Page Generation and Product Flow Maps#

Replay's ability to generate code from multi-page applications and create product flow maps further enhances security. By understanding the entire user journey, Replay can identify potential vulnerabilities that might be missed by screenshot-to-code tools.

For example, Replay can analyze the flow of a user signing up for an account, verifying their email, and setting a password. This allows Replay to generate code that enforces strong password policies, implements secure email verification, and protects against account takeover attacks.

Supabase Integration and Style Injection#

Replay's integration with Supabase and its style injection capabilities also contribute to security. By using Supabase for authentication and authorization, Replay ensures that only authorized users can access sensitive data. Style injection allows Replay to customize the appearance of the UI without modifying the underlying code, reducing the risk of introducing vulnerabilities.

Step-by-Step: Using Replay for Secure Code Generation#

Here's a simplified example of how to use Replay to generate secure code:

Step 1: Record a Video#

Record a video of the user interacting with the UI you want to reconstruct. Make sure to capture all relevant user flows and edge cases.

Step 2: Upload the Video to Replay#

Upload the video to the Replay platform. Replay will automatically analyze the video and generate code.

Step 3: Review and Refine the Code#

Review the generated code and make any necessary refinements. Replay provides a visual editor that allows you to easily modify the code and see the results in real-time.

Step 4: Deploy the Code#

Deploy the code to your production environment. Replay automatically generates deployment scripts and configuration files, making it easy to deploy your application securely.

Addressing Common Concerns#

Some developers might be concerned about:

  • Privacy: Replay ensures privacy by automatically masking sensitive data in the video recording before generating code.
  • Accuracy: Replay uses advanced AI algorithms to ensure that the generated code is accurate and reflects the user's intent.
  • Customization: Replay provides a visual editor that allows you to easily customize the generated code to meet your specific needs.
ConcernCursor (Screenshot-to-Code)Replay (Video-to-Code)
PrivacyHigh risk of exposing sensitive dataLow risk due to automatic data masking
AccuracyLimited by the quality and completeness of the screenshotsEnhanced by behavior-driven analysis
CustomizationRequires manual code modificationOffers visual editor for easy customization

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited features. Paid plans are available for more advanced features and higher usage limits.

How is Replay different from v0.dev?#

v0.dev primarily focuses on generating UI components from text prompts. Replay analyzes video of user interactions to reconstruct entire applications, understanding user intent and generating more secure and contextually accurate code.

Does Replay support all UI frameworks?#

Replay currently supports React, Vue, and Angular. Support for other frameworks is planned for the future.

How does Replay handle dynamic content?#

Replay can analyze dynamic content by tracking changes in the UI over time. This allows Replay to generate code that handles dynamic data correctly.


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