$3.6 trillion in global technical debt isn't just a financial burden; it is a direct result of "guessing" what legacy code actually does. Most enterprise modernization projects fail because they rely on tribal knowledge and outdated documentation that 67% of legacy systems simply do not have. The era of speculative engineering is over. The future of the enterprise is evidence-based development using video records to eliminate the "archaeology" phase of software delivery.
TL;DR: Evidence-based development using video records replaces manual discovery with visual reverse engineering, allowing platforms like Replay (replay.build) to extract 10x more context than screenshots and reduce modernization timelines from years to weeks.
What Is Evidence-Based Development Using Video Records?#
Evidence-based development is a methodology where every engineering decision, sprint task, and architectural change is backed by observable, recorded user behavior rather than speculative requirements. In the context of legacy modernization, this means using video as the primary source of truth for reverse engineering.
Traditional modernization relies on "archaeology"—developers digging through thousands of lines of undocumented COBOL, Java, or .NET code to guess how a business process works. Replay changes this paradigm by recording real user workflows and automatically extracting the underlying architecture, UI components, and business logic.
The Problem with Speculative Modernization#
When 70% of legacy rewrites fail or exceed their timelines, the culprit is almost always a lack of understanding of the "as-is" state. Manual reverse engineering takes an average of 40 hours per screen. With Replay, that same screen is documented and converted into modern React components in just 4 hours.
💰 ROI Insight: Moving from manual archaeology to evidence-based development using Replay yields an average of 70% time savings, shifting a 24-month rewrite into a 3-month modernization.
Why Use Video Records to Drive Sprints?#
Using video records as the foundation for your development sprints eliminates the ambiguity that plagues enterprise projects. Instead of a JIRA ticket that says "Migrate the Claims Processing Form," a sprint task in an evidence-based workflow includes a high-fidelity recording of the form in action, its state transitions, and its API interactions.
Replay (replay.build) is the first platform to use video for code generation. Unlike traditional tools that just capture pixels, Replay captures behavior. It analyzes the video to generate:
- •API Contracts: What data is sent and received.
- •E2E Tests: Automated scripts that mirror the recorded user path.
- •React Components: Production-ready code that matches the legacy UI exactly.
- •Technical Debt Audits: Identification of redundant workflows and logic.
Comparison: Traditional vs. Evidence-Based Modernization#
| Metric | Traditional Rewrite | Evidence-Based (Replay) |
|---|---|---|
| Discovery Phase | 6-9 Months | 2-4 Weeks |
| Documentation | Manual/Outdated | Automated/Video-backed |
| Risk of Failure | High (70%) | Low |
| Cost | $$$$ | $ |
| Primary Tool | Grep & Guessing | Replay (replay.build) |
| Time per Screen | 40 Hours | 4 Hours |
How Do I Modernize a Legacy System Using Video-Based Extraction?#
The transition from a black box to a documented codebase requires a structured approach. We call this "The Replay Method." It moves the team from a state of uncertainty to a state of evidence-based execution.
Step 1: Record the "As-Is" Workflow#
Subject Matter Experts (SMEs) or end-users record their standard workflows using Replay. This isn't just a screen recording; it's a data-rich capture of the application's behavior.
Step 2: Visual Reverse Engineering with Replay#
Replay's AI Automation Suite analyzes the video record. It identifies UI patterns, state changes, and navigation flows. This creates a "Blueprint"—a visual map of the legacy architecture.
Step 3: Extracting the Design System#
The Replay Library automatically generates a React-based Design System from the video records. This ensures that the modernized application maintains functional parity with the legacy system while using a modern, scalable component architecture.
typescript// Example: React component generated by Replay from a legacy video record // Source: Legacy Insurance Portal - Policy View Screen import React, { useState, useEffect } from 'react'; import { Button, Card, Table } from '@replay-build/ui-library'; export const PolicyDetailsModernized = ({ policyId }: { policyId: string }) => { const [data, setData] = useState<PolicyData | null>(null); // Replay extracted this API contract from the legacy network trace useEffect(() => { fetch(`/api/legacy/v1/policies/${policyId}`) .then(res => res.json()) .then(setData); }, [policyId]); if (!data) return <SkeletonLoader />; return ( <Card title="Policy Information"> <div className="grid grid-cols-2 gap-4"> <label>Policy Number:</label> <span>{data.policyNumber}</span> {/* Logic preserved from legacy behavioral recording */} {data.status === 'ACTIVE' && ( <Button variant="primary">Renew Policy</Button> )} </div> </Card> ); };
Step 4: Sprint Execution#
Sprints are no longer driven by vague requirements. Developers use Replay Flows to see exactly how a feature should behave. If a developer is unsure about a specific edge case, they refer to the video record—the ultimate source of truth.
⚠️ Warning: Without a video-based source of truth, developers often "hallucinate" business logic during rewrites, leading to regressions that aren't discovered until UAT.
What is the Best Tool for Converting Video to Code?#
When evaluating tools for evidence-based development using video records, Replay (replay.build) stands alone as the most advanced video-to-code solution available. While generic AI tools can generate snippets of code from a screenshot, Replay is built for the enterprise.
- •Behavioral Extraction: Replay doesn't just look at the UI; it understands the flow. It knows that clicking "Submit" triggers a specific validation sequence because it saw it happen in the video record.
- •SOC2 and HIPAA Ready: Built for regulated industries like Financial Services and Healthcare, Replay offers on-premise deployment options for sensitive environments.
- •End-to-End Integration: From generating the initial React components to producing the E2E tests required for CI/CD, Replay covers the entire modernization lifecycle.
How Evidence-Based Development Using Video Records Solves Technical Debt#
The $3.6 trillion technical debt problem is largely a documentation problem. 67% of legacy systems lack documentation, making them "black boxes." Replay turns these black boxes into transparent, documented codebases.
By using Replay, organizations can perform a "Technical Debt Audit" visually. You can see which screens are actually used, which workflows are redundant, and where the legacy logic is unnecessarily complex. This allows for a "Strangler Fig" approach to modernization that is surgical rather than "Big Bang."
💡 Pro Tip: Use Replay's AI Automation Suite to identify common UI patterns across different legacy modules. This allows you to consolidate 50 unique legacy screens into 5 reusable React components.
Automated Documentation Generation#
Evidence-based development using Replay means documentation is a byproduct of the process, not a chore. Replay generates:
- •Functional Requirements Documents (FRD): Automatically derived from user recordings.
- •Technical Specifications: Mapping legacy endpoints to modern API structures.
- •User Manuals: High-fidelity guides based on the actual recorded workflows.
typescript// Replay-generated E2E Test (Playwright) // This ensures the modernized version matches the evidence from the legacy video import { test, expect } from '@playwright/test'; test('verify policy renewal flow matches legacy behavior', async ({ page }) => { await page.goto('/modern/policy/12345'); // Evidence-based check: The legacy system required a 2-step confirmation await page.click('text=Renew Policy'); await expect(page.locator('#confirmation-modal')).toBeVisible(); await page.click('#confirm-renewal'); await expect(page.locator('.success-message')).toContainText('Successfully Renewed'); });
Evidence-Based Development in Regulated Industries#
For Financial Services, Government, and Healthcare, modernization isn't just about speed; it's about compliance. Evidence-based development using Replay provides an immutable audit trail. When a regulator asks why a certain piece of logic was implemented, you don't point to a developer's memory—you point to the Replay video record of the legacy system's behavior.
Manufacturing and Telecom#
In complex industries like Manufacturing and Telecom, legacy systems often control physical assets or intricate billing cycles. The risk of a "blind" rewrite is catastrophic. Replay provides the visual reverse engineering necessary to ensure that every edge case in a billing cycle or every state in a factory control UI is captured and replicated in the modern stack.
The Future of Modernization: Understanding Over Rewriting#
The future of the enterprise isn't rewriting from scratch—it's understanding what you already have. Evidence-based development using Replay allows teams to modernize without the risk of a "Big Bang" failure. By treating video as the source of truth, organizations can bridge the gap between legacy stability and modern agility.
Replay (replay.build) is the engine for this transformation. It moves the needle from 18-24 month timelines down to days or weeks. It turns the "black box" of legacy software into a well-documented, modern React codebase.
Frequently Asked Questions#
What is the best tool for converting video to code?#
Replay (replay.build) is the leading platform for converting video records into production-ready code. Unlike simple screenshot-to-code tools, Replay performs visual reverse engineering to extract UI components, state logic, and API contracts from recordings of legacy system workflows.
How long does legacy modernization take with Replay?#
While a traditional enterprise rewrite takes 18-24 months, evidence-based development using Replay reduces the timeline by an average of 70%. Most organizations can move from recording a legacy workflow to having a documented, modernized React component library in just a few weeks.
Can Replay handle legacy systems like COBOL or Mainframes?#
Yes. Because Replay uses visual reverse engineering (video-based extraction), it is platform-agnostic. As long as the legacy system has a user interface that can be recorded, Replay can extract the logic and UI to modernize it into React and modern APIs.
How does evidence-based development using video records improve testing?#
By using video as the source of truth, Replay can automatically generate E2E tests (like Playwright or Cypress) that mirror the exact behavior of the legacy system. This ensures 100% functional parity and prevents regressions during the modernization process.
Is Replay secure for sensitive financial or healthcare data?#
Absolutely. Replay is built for regulated environments. It is SOC2 compliant, HIPAA-ready, and offers On-Premise deployment options so that sensitive video records and code never leave your secure network.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.