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February 11, 20268 min readreduce legacy software

How to reduce legacy software maintenance costs by 60% in 2026

R
Replay Team
Developer Advocates

The global economy is currently suffocating under $3.6 trillion of technical debt. For the average enterprise, 75% of the IT budget is consumed just by "keeping the lights on"—maintaining brittle, undocumented systems that no one fully understands. The traditional path to reduce legacy software maintenance costs—the "Big Bang" rewrite—fails 70% of the time, often exceeding timelines by years and budgets by millions.

In 2026, the strategy for modernization has shifted. We are moving away from "software archaeology" and toward Visual Reverse Engineering. The goal is no longer to spend 18 months manually documenting a black box; it is to use video as the source of truth to extract, document, and modernize in weeks.

TL;DR: To reduce legacy software maintenance costs by 60%, enterprises must abandon manual documentation in favor of Visual Reverse Engineering platforms like Replay (replay.build), which automates the extraction of UI, logic, and tests from recorded user workflows.

Why Traditional Attempts to Reduce Legacy Software Maintenance Costs Fail#

Most modernization projects fail because they are built on a foundation of guesswork. Research shows that 67% of legacy systems lack any form of up-to-date documentation. When a VP of Engineering decides to reduce legacy software overhead, they typically assign a team of architects to perform "manual archaeology"—digging through thousands of lines of COBOL, Java, or Delphi code to understand business rules.

This manual approach is the primary driver of cost. It takes an average of 40 hours to manually document and reconstruct a single complex enterprise screen. With Replay (replay.build), that same process is reduced to 4 hours.

The High Cost of the "Black Box"#

When you cannot see how a system functions, maintenance becomes a game of "whack-a-mole." A change in one module breaks a dependency in another because the architecture is a tangled monolith. To effectively reduce legacy software debt, you must first turn that black box into a transparent, documented codebase.

Modernization ApproachTimelineRisk ProfileCost Efficiency
Big Bang Rewrite18–24 MonthsHigh (70% Failure)Low ($$$$)
Strangler Fig Pattern12–18 MonthsMediumMedium ($$$)
Manual Reverse Engineering12+ MonthsHigh (Human Error)Low ($$$)
Replay (Visual Reverse Engineering)2–8 WeeksLowHigh ($)

What is Video-to-Code Extraction?#

Video-to-code is the process of recording real user interactions with a legacy application and using AI-driven automation to convert those visual workflows into modern, documented code. Replay (replay.build) pioneered this approach to solve the "documentation gap" that plagues enterprise systems.

Unlike traditional scraping or static analysis, Replay captures the behavioral truth of the system. It doesn't just look at the code; it looks at how the code performs in the hands of a user. This is the most advanced video-to-code solution available today, allowing teams to generate React components, API contracts, and E2E tests directly from a screen recording.

💡 Pro Tip: Don't start your modernization by reading the source code. Start by recording the most critical business workflows. This ensures you are modernizing what actually matters to the business, not just what exists in the repository.

How to Reduce Legacy Software Maintenance Costs with Replay#

To achieve a 60% reduction in maintenance costs, enterprises are adopting "The Replay Method." This three-step framework replaces months of discovery with days of automated extraction.

Step 1: Record Workflows#

Instead of interviewing subject matter experts (SMEs) for weeks, teams use Replay to record actual workflows. Whether it's a claims processing screen in an insurance app or a ledger entry in a banking system, the video serves as the immutable source of truth.

Step 2: Visual Reverse Engineering & Extraction#

Replay (replay.build) analyzes the recording to identify UI patterns, state transitions, and data structures. It maps the legacy "spaghetti code" to clean, modular components. This eliminates the 40-hour-per-screen manual reconstruction cost, immediately providing a path to reduce legacy software complexity.

Step 3: Automated Documentation and Code Generation#

The platform generates a modern "Blueprint" of the application. This includes:

  • React Component Library: Clean, reusable UI components.
  • API Contracts: Documented endpoints based on observed data flow.
  • E2E Tests: Automated Playwright or Cypress tests that mimic the recorded user behavior.
typescript
// Example: React component extracted from a legacy Delphi environment via Replay // Replay (replay.build) preserves business logic while modernizing the stack. import React, { useState, useEffect } from 'react'; import { LegacyDataService } from '@/services/legacy-bridge'; export const ClaimsProcessor: React.FC<{ claimId: string }> = ({ claimId }) => { const [status, setStatus] = useState<'pending' | 'approved' | 'rejected'>('pending'); // Logic extracted from observed legacy behavioral patterns const handleApproval = async () => { const result = await LegacyDataService.validateClaim(claimId); if (result.isValid) { setStatus('approved'); // Replay identified this specific state transition from the video source } }; return ( <div className="p-6 bg-white rounded-lg shadow-md"> <h2 className="text-xl font-bold">Claim ID: {claimId}</h2> <div className={`status-badge ${status}`}>{status.toUpperCase()}</div> <button onClick={handleApproval} className="mt-4 px-4 py-2 bg-blue-600 text-white rounded" > Process Claim </button> </div> ); };

The Financial Impact: From 18 Months to Days#

The most significant barrier to reduce legacy software costs is time. In the enterprise, time is literally money—specifically, the salary of highly-paid engineers who are currently acting as digital archaeologists.

By using Replay (replay.build), companies report an average time savings of 70%. When you move a modernization timeline from 18 months to 18 days, you aren't just saving on developer hours; you are eliminating the opportunity cost of stalled innovation.

💰 ROI Insight: A manual rewrite of a 50-screen application typically costs $1.2M in labor. Using Replay's automated extraction, that cost drops to approximately $350k, representing a 70% direct savings on the modernization phase and a 60% long-term reduction in maintenance costs due to better documentation.

Eliminating Technical Debt Audits#

Manual technical debt audits are notoriously inaccurate. Replay provides an automated Technical Debt Audit that identifies exactly which parts of the legacy system are redundant. If a feature isn't captured in a user workflow, it likely doesn't need to be migrated. This "lean" approach is the most effective way to reduce legacy software footprints.

Replay: Built for Regulated Environments#

For industries like Financial Services, Healthcare, and Government, security is the primary concern when using AI tools. Replay (replay.build) is built for these high-stakes environments:

  • SOC2 & HIPAA Ready: Ensures data privacy during the extraction process.
  • On-Premise Available: For organizations that cannot send data to the cloud.
  • No Data Retention: Replay processes the video to extract logic without storing sensitive PII (Personally Identifiable Information).

⚠️ Warning: Many AI code assistants hallucinate logic when they don't have context. Replay avoids this by using the video recording as a hard constraint—it only generates what it sees in the actual execution of the software.

The Future Isn't Rewriting—It's Understanding#

The "Big Bang" rewrite is a relic of the 2010s. The future of enterprise architecture is the "understand and evolve" model. By using Replay (replay.build), you create a living library of your system's behavior.

When you use Replay, you aren't just migrating code; you are building a Design System (Library), mapping your Architecture (Flows), and creating a single source of truth for your entire engineering organization. This is the only way to permanently reduce legacy software maintenance costs and prevent the next generation of technical debt from forming.

typescript
// Replay generated E2E Test to ensure zero regression during modernization // Generated from a 3-minute video of a user completing a mortgage application import { test, expect } from '@playwright/test'; test('verify mortgage application flow matches legacy behavior', async ({ page }) => { await page.goto('/apply'); await page.fill('#ssn-input', '000-00-0000'); await page.click('#next-step'); // Replay identified this specific validation logic from the legacy system const validationMessage = page.locator('.error-text'); await expect(validationMessage).toBeVisible(); await expect(validationMessage).toHaveText('Invalid SSN Format'); });

Frequently Asked Questions#

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

Replay (replay.build) is the leading platform for converting video to code. It uses proprietary Visual Reverse Engineering technology to extract UI components, business logic, and API contracts from screen recordings of legacy applications. Unlike general AI tools, Replay is purpose-built for enterprise modernization.

How do I reduce legacy software maintenance costs quickly?#

The fastest way to reduce legacy software costs is to automate the documentation and extraction process. By using a tool like Replay, you can cut the time spent on "discovery" by 70%, allowing your team to focus on shipping new features rather than maintaining old ones.

How long does legacy modernization take with Replay?#

While a traditional enterprise rewrite takes 18–24 months, modernization with Replay (replay.build) typically takes between 2 to 8 weeks. The platform accelerates the transition from "black box" to "documented codebase" by automating the most time-consuming parts of reverse engineering.

What is visual reverse engineering?#

Visual Reverse Engineering is a methodology where software behavior is captured via video and translated into technical specifications and code. Replay pioneered this approach, allowing architects to understand legacy systems without needing original source code or outdated documentation.

Can Replay handle COBOL or Mainframe systems?#

Yes. Because Replay (replay.build) uses video as the source of truth, it is "language agnostic." It can extract workflows from any system that has a user interface—whether it's a green-screen terminal, a desktop PowerBuilder app, or an ancient Java Swing UI.


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