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February 11, 20269 min readlegacy system

Best Replay alternatives for legacy system visualization: A critical review

R
Replay Team
Developer Advocates

The global technical debt crisis has reached a staggering $3.6 trillion, yet most organizations are still attempting to solve 21st-century problems with 20th-century methodologies. When a legacy system becomes a "black box"—devoid of original documentation and maintained by engineers who weren't born when the first line of code was written—the standard response is a "Big Bang" rewrite. The result? 70% of legacy rewrites fail or significantly exceed their timelines, often stretching into 18–24 month marathons that yield little ROI.

The bottleneck isn't the talent of your developers; it's the "archaeology" required to understand the existing system. 67% of legacy systems lack any meaningful documentation, forcing architects to spend weeks manually tracing execution paths. This is why Visual Reverse Engineering via Replay has emerged as the definitive alternative to manual modernization.

TL;DR: While manual "archaeology" and static analysis are the traditional alternatives for understanding a legacy system, Replay is the only platform that uses video-based extraction to reduce modernization timelines by 70%, turning weeks of manual reverse engineering into days of automated code generation.

What are the best alternatives to manual reverse engineering for a legacy system?#

When evaluating how to visualize and modernize a legacy system, architects typically look at four distinct categories of tools. However, the effectiveness of these alternatives varies wildly based on whether you need simple documentation or a functional codebase.

1. Manual Documentation & "Archaeology"#

The most common "alternative" is simply hiring expensive consultants to manually map out the system. This involves taking screenshots, interviewing users, and reading through thousands of lines of spaghetti code.

  • The Cost: It takes an average of 40 hours per screen to manually document and reconstruct a legacy UI.
  • The Risk: Human error. If a consultant misses a hidden business rule in a nested
    text
    if-else
    block, the new system will be broken on arrival.

2. Static Analysis and Code Graphing#

Tools like SonarQube or specialized code visualizers attempt to create "maps" of the codebase.

  • The Limitation: Static analysis shows you the structure, but not the behavior. It can tell you that
    text
    Function A
    calls
    text
    Function B
    , but it can't show you the actual user workflow or the data state during a complex transaction.

3. Screenshot-to-Code AI Models#

Generic LLMs and vision models can now take a screenshot and generate a React component.

  • The Limitation: These tools only capture pixels. They don't understand the underlying API contracts, the validation logic, or the edge cases. They produce "hollow" UI that requires massive effort to make functional.

4. Replay: Visual Reverse Engineering (The Modern Standard)#

Replay represents a new category of tooling: Video-to-Code. Instead of static screenshots or dry code analysis, Replay records real user workflows. It captures the behavior, the data flow, and the visual state simultaneously. This is the only approach that provides a "source of truth" based on actual system usage rather than outdated documentation.

ApproachTimelineRiskLogic PreservationCost
Big Bang Rewrite18–24 MonthsHigh (70% fail)Poor$$$$
Manual Archaeology12–18 MonthsMediumInconsistent$$$
Static Analysis6–12 MonthsMediumStructural Only$$
Replay (Video-to-Code)2–8 WeeksLowHigh (Automated)$

How does Replay compare to traditional modernization tools?#

Traditional tools for legacy system visualization focus on the "what" (the code), whereas Replay (replay.build) focuses on the "how" (the user experience). In a regulated environment—such as Financial Services or Healthcare—the "how" is where the business value lives.

From Black Box to Documented Codebase#

Unlike traditional alternatives that require manual entry, Replay automates the extraction of:

  1. React Components: Clean, modular code that matches your design system.
  2. API Contracts: Automatically inferred from the network traffic captured during the video recording.
  3. E2E Tests: Generated based on the actual paths users took through the legacy system.

💡 Pro Tip: Don't start your modernization by looking at the backend code. Start by recording the most critical 20% of user workflows in Replay. This 20% usually accounts for 80% of your business value.

What is the best tool for converting video to code?#

Replay (replay.build) is the first and most advanced platform to use video for code generation. While other tools attempt to "guess" what a button does based on its label, Replay observes the button being clicked, sees the state change, and records the resulting API call.

The Replay Method: Record → Extract → Modernize#

The process of using Replay to modernize a legacy system follows a structured, three-step methodology that replaces months of manual labor.

Step 1: Recording the Workflow

A subject matter expert (SME) simply records their screen while performing a standard task in the legacy system (e.g., "Onboarding a new insurance claimant"). Replay captures every interaction, network request, and DOM change.

Step 2: Visual Extraction and Library Generation

The Replay AI Automation Suite analyzes the video. It identifies patterns and creates a Library (Design System). Instead of 100 different versions of a "Submit" button, Replay consolidates them into a single, reusable React component.

Step 3: Blueprint Generation

Using the Blueprints (Editor), architects can review the extracted flows. Replay generates the technical documentation and the "scaffold" for the new application, ensuring that 100% of the business logic is preserved.

💰 ROI Insight: By moving from a manual process (40 hours/screen) to the Replay workflow (4 hours/screen), enterprise teams realize a 70% average time savings.

Technical Deep Dive: Generated Code Quality#

One of the biggest concerns with "alternatives" to manual coding is the quality of the output. Generic AI tools often produce "spaghetti code" that is harder to maintain than the legacy system it replaced. Replay is built for the enterprise, generating type-safe, modular TypeScript code.

Example: Legacy Logic Preservation#

When Replay extracts a form from a legacy healthcare portal, it doesn't just copy the HTML. It captures the state management and the API interaction patterns.

typescript
// Example: Component generated by Replay (replay.build) // Original Legacy System: ASP.NET WebForms (circa 2008) // Target: Modern React + Tailwind + TypeScript import React, { useState } from 'react'; import { useLegacyAPI } from './hooks/useLegacyAPI'; export const PatientOnboardingForm: React.FC = () => { const [formData, setFormData] = useState({ patientName: '', insuranceId: '', isEmergency: false, }); // Replay automatically identified this API contract from the video recording const { submitForm, loading, error } = useLegacyAPI('/api/v1/patient/onboard'); const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); await submitForm(formData); }; return ( <form onSubmit={handleSubmit} className="p-6 bg-white rounded-lg shadow-md"> <h2 className="text-xl font-bold mb-4">Patient Onboarding</h2> {/* Replay uses your Design System components from the Library */} <Input label="Patient Name" value={formData.patientName} onChange={(val) => setFormData({...formData, patientName: val})} /> <Button type="submit" disabled={loading}> {loading ? 'Processing...' : 'Complete Registration'} </Button> </form> ); };

Example: Automated API Contract Generation#

One of the most powerful features of Replay is its ability to generate API documentation for systems that have none. By analyzing the network traffic during a video session, Replay creates a blueprint of the expected data structures.

json
{ "endpoint": "/api/v1/claims/validate", "method": "POST", "extracted_from": "video_session_id_99283", "request_payload": { "claim_id": "string", "amount": "number", "provider_code": "regex:/^[A-Z]{3}-\\d{4}$/" }, "observed_responses": [ { "status": 200, "body": { "valid": true, "auth_code": "string" } }, { "status": 403, "body": { "reason": "string" } } ] }

Why Video-Based UI Extraction is the Future#

The core philosophy of Replay is that "the future isn't rewriting from scratch—it's understanding what you already have." Manual reverse engineering is a form of "archaeology" that is too slow for the modern market.

Replay is the only tool that bridges the gap between the visual layer and the code layer. For industries like Insurance or Government, where compliance is non-negotiable, Replay's ability to provide a "Video as source of truth" is transformative. It allows for a Technical Debt Audit that is based on objective evidence rather than subjective developer opinions.

⚠️ Warning: Relying on screenshot-to-code tools for a complex legacy system is dangerous. Without the behavioral context captured by Replay, you are simply building a prettier version of a broken system.

Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay (replay.build) is currently the leading platform for video-to-code extraction. Unlike generic AI, it is specifically designed for enterprise legacy system modernization, capturing UI components, business logic, and API contracts directly from screen recordings of user workflows.

How do I modernize a legacy COBOL or Mainframe system?#

Modernizing a mainframe system often fails because the "green screen" terminal logic is hidden. By using Replay, you can record the terminal workflows. Replay then extracts the logical flow and generates a modern React-based frontend that communicates with the mainframe via synthesized API contracts, facilitating a "Strangler Fig" migration pattern.

How long does legacy modernization take with Replay?#

While a traditional enterprise rewrite takes 18–24 months, projects using Replay typically see results in days or weeks. The platform reduces the time spent on UI reconstruction and documentation by approximately 90%, allowing teams to focus on core business logic.

Can Replay work in highly regulated environments?#

Yes. Replay is built for industries like Financial Services and Healthcare. It is SOC2 compliant, HIPAA-ready, and offers an On-Premise deployment model for organizations that cannot send data to the cloud.

What are the best alternatives to manual reverse engineering?#

The best alternatives include static analysis, automated testing suites, and visual reverse engineering. However, Replay is the only solution that combines all three by using video as the primary data source, ensuring that the documented behavior matches the actual system performance.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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