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February 10, 20268 min readcost keeping lights

The Cost of "Keeping the Lights On": How Legacy Maintenance Kills Your Innovation Budget

R
Replay Team
Developer Advocates

The Cost of "Keeping the Lights On": How Legacy Maintenance Kills Your Innovation Budget

Your innovation budget is being held hostage by code written before your junior developers were born. In the enterprise, the "cost keeping lights" on isn't just a line item—it’s a compounding tax that currently accounts for nearly 75% of total IT spending. When three-quarters of your capital is spent simply existing, you aren't a technology leader; you're a curator of a digital museum.

The global technical debt has ballooned to an estimated $3.6 trillion. For the average Fortune 500 company, this manifests as a paralyzing fear of touching "the black box"—those mission-critical systems that lack documentation, lack original authors, and yet process billions in transactions.

TL;DR: Legacy maintenance consumes up to 80% of IT budgets, but traditional "Big Bang" rewrites fail 70% of the time; Visual Reverse Engineering via Replay offers a low-risk path to modernize in weeks by extracting logic directly from user workflows.

The Archaeology Trap: Why Manual Modernization Fails#

Most CTOs approach modernization through "Software Archaeology." They assign their most expensive architects to spend months reading through thousands of lines of undocumented COBOL, Java, or legacy .NET code.

Statistics show that 67% of legacy systems lack any form of reliable documentation. When you ask a developer to modernize these systems manually, you aren't asking them to code; you're asking them to solve a cold case with missing evidence. This manual approach averages 40 hours per screen just to understand and replicate the business logic.

The 70% Failure Rate#

The "Big Bang" rewrite is the most common response to the high cost keeping lights on. However, 70% of these projects either fail completely or significantly exceed their timelines. The reason is simple: you cannot rewrite what you do not understand. By the time a 24-month rewrite is finished, the business requirements have shifted, and you've simply traded old technical debt for new, slightly shinier debt.

Modernization ApproachAverage TimelineSuccess RateResource IntensityCost Basis
Big Bang Rewrite18-24 Months~30%Extremely High$$$$
Strangler Fig Pattern12-18 Months~50%High$$$
Manual Refactoring6-12 Months~45%Moderate$$
Visual Reverse Engineering (Replay)2-8 Weeks>95%Low$

Breaking the Cycle of Technical Debt#

To lower the cost keeping lights on, we must move away from the "document-then-code" philosophy. The source of truth in a legacy system isn't the outdated README file or the convoluted source code—it’s the execution.

At Replay, we advocate for "Video as the Source of Truth." By recording real user workflows, we capture the exact state transitions, API calls, and UI behaviors that define the system. This bypasses the need for manual archaeology and moves directly to code generation.

💰 ROI Insight: Moving from manual extraction (40 hours/screen) to automated extraction with Replay (4 hours/screen) represents a 90% reduction in labor costs. For an enterprise application with 50 screens, this saves over 1,800 engineering hours.

Preserving Business Logic Without the Manual Labor#

The biggest fear in modernization is losing the "hidden" business logic—the edge cases handled by a specific

text
if
statement written in 2004. Replay captures these during the recording phase, ensuring that the generated React components aren't just shells, but functional replacements.

typescript
// Example: Traditional manual mapping of legacy logic // This process is prone to human error and takes days to verify. function legacyProcessPayment(amount, userType) { // We think this is how it works... if (userType === 'GOLD' && amount > 1000) { return applyDiscount(amount, 0.1); } // Missing: The 2008 edge case for legacy 'PLATINUM' users return amount; } // Example: Replay-generated component with preserved logic // Extracted directly from observed state transitions in the legacy app. import { ModernPaymentProvider } from '@design-system/core'; export const MigratedPaymentForm = ({ transactionData }) => { // Replay captured the exact state flow from the legacy recording const validatedAmount = useMemo(() => { return ReplayLogicEngine.calculate(transactionData); }, [transactionData]); return ( <ModernPaymentProvider amount={validatedAmount} onSuccess={(receipt) => triggerLegacySync(receipt)} /> ); };

The Three Pillars of Visual Reverse Engineering#

Modernizing a system to reduce the cost keeping lights on requires a structured transition from "Black Box" to "Documented Codebase." Replay facilitates this through three core architectural pillars:

1. The Library (Design System Alignment)#

Legacy systems are often a hodgepodge of UI styles. Replay's Library feature allows you to map legacy elements to your modern React design system. As the system records a workflow, it automatically identifies UI patterns and suggests their modern counterparts.

2. The Flows (Architecture Mapping)#

Understanding how data moves through a system is harder than understanding the UI. Replay generates visual flow diagrams based on actual user sessions. This provides a real-time map of your architecture, identifying bottlenecks and redundant API calls that contribute to high maintenance costs.

3. The Blueprints (Automated Documentation)#

Instead of a static PDF that becomes obsolete the moment it's saved, Replay generates Blueprints. These are living documents that include API contracts, E2E test suites (Cypress/Playwright), and technical debt audits.

⚠️ Warning: Relying on the "tribal knowledge" of senior engineers who are nearing retirement is a high-risk strategy. Every day you delay extraction is a day closer to losing that knowledge forever.

Step-by-Step: From Legacy to Modern in 14 Days#

If you want to stop the bleeding of your innovation budget, you need a tactical plan. Here is how we move enterprise clients from legacy sprawl to modern React architectures.

Step 1: Record the Workflow#

Identify a high-value, high-maintenance workflow (e.g., "Onboarding a New Insurance Policy"). Using Replay, a subject matter expert (SME) simply performs the task. There is no need for them to explain the code; they just show how the business operates.

Step 2: Extract and Audit#

Replay’s AI Automation Suite analyzes the recording. It identifies:

  • Every API endpoint hit.
  • The schema of the data returned.
  • The component hierarchy of the UI.
  • The business logic governing state changes.

Step 3: Generate the Modern Stack#

The system generates a clean, documented React component library and the corresponding API contracts.

typescript
// Generated API Contract from Replay Extraction // Service: Claims Processing (Legacy v2.4) export interface ClaimSubmission { id: string; timestamp: ISO8601String; policyId: string; // Replay detected this hidden field required by the legacy backend internalRoutingCode: string; attachments: Array<{ uuid: string; type: 'PDF' | 'JPG'; }>; } export const submitClaim = async (data: ClaimSubmission) => { return await apiClient.post('/api/v2/claims', data); };

Step 4: Validate and Deploy#

Because Replay generates E2E tests based on the original recording, you can immediately verify that the modern component behaves exactly like the legacy one. This reduces the QA cycle from months to days.

Why "Keep the Lights On" is a Choice, Not a Necessity#

Most enterprise leaders view legacy maintenance as an unavoidable tax. It isn't. It is the result of a lack of visibility. When you treat your software as a black box, you are forced to pay for the mystery.

By using Visual Reverse Engineering, you transform that mystery into a documented asset. You shift the 18-month rewrite timeline into a series of 2-week sprints. Most importantly, you reclaim the 70% of your budget currently wasted on "keeping the lights on" and reallocate it to features that actually drive market share.

💡 Pro Tip: Start your modernization with the "Screen of Greatest Pain." Don't try to boil the ocean. Pick the one screen that causes the most support tickets or takes the longest to train new employees on. Extract it with Replay, and use that win to fund the rest of the journey.

Frequently Asked Questions#

How long does legacy extraction take with Replay?#

While a manual rewrite of a single complex enterprise screen can take 40+ hours of engineering time, Replay reduces this to approximately 4 hours. Most of our enterprise partners see a fully documented and extracted workflow ready for development within 48 to 72 hours of the initial recording.

What about business logic preservation in regulated industries?#

In sectors like Financial Services and Healthcare, "near enough" isn't good enough. Replay records the exact data payloads and state transitions. This provides a verifiable audit trail of how the legacy system functioned, which can be used to satisfy SOC2 and HIPAA compliance requirements during the transition.

Does Replay require access to our legacy source code?#

No. This is the power of Visual Reverse Engineering. Replay works by observing the application's behavior at the browser or desktop level. It maps the inputs, outputs, and UI changes. This makes it ideal for systems where the source code is lost, obfuscated, or too fragile to be modified.

Can Replay handle mainframe or "green screen" applications?#

Yes. Through our enterprise terminal emulation recording, we can map legacy mainframe workflows into modern web-based React components, bridging the gap between 1980s infrastructure and 2024 user expectations.


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

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