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February 19, 2026 min readdark launching legacy refactors

Dark Launching Legacy Refactors: Using Replay to Verify New Logic on 10% of Live Traffic

R
Replay Team
Developer Advocates

Dark Launching Legacy Refactors: Using Replay to Verify New Logic on 10% of Live Traffic

The most dangerous moment in an Enterprise Architect's career isn't the failure of a new product; it’s the "Big Bang" cutover of a legacy system that has been running the core business for twenty years. When you are dealing with $3.6 trillion in global technical debt, the risk of a regression isn't just a bug—it’s a catastrophic business outage. This is why dark launching legacy refactors has moved from a "nice-to-have" DevOps practice to a mandatory survival strategy for the modern enterprise.

Refactoring a monolithic system—especially one where 67% of the logic lacks any form of documentation—is an exercise in archaeological software engineering. You aren't just writing code; you are trying to replicate undocumented behaviors that users have relied on for decades.

TL;DR: Dark launching legacy refactors allows teams to run new React-based components alongside legacy UI logic, comparing outputs without impacting the user experience. By using Replay to visually reverse engineer existing workflows into documented code, enterprises can reduce refactoring time from 40 hours per screen to just 4 hours, enabling a "shadow" deployment strategy that verifies logic on 10% of live traffic before a full cutover.


The Silent Failure of Big Bang Migrations#

According to Replay's analysis, 70% of legacy rewrites fail or significantly exceed their original timelines. The primary culprit is the "parity gap"—the delta between how the old system actually works and how the developers think it works. When you attempt to rewrite a complex financial or healthcare portal from scratch, you inevitably miss the edge cases buried in the legacy COBOL or jQuery spaghetti.

Dark launching legacy refactors mitigates this by decoupling the deployment of code from the release of features. In a dark launch, the new logic is executed in the background. The system processes the request using both the legacy path and the new refactored path, but only the legacy result is shown to the user. The results are then compared for parity.

The Documentation Vacuum#

Most legacy systems are "black boxes." Industry experts recommend a "capture and replicate" model rather than a "read and rewrite" model. This is where Replay transforms the workflow. Instead of manually auditing thousands of lines of undocumented code, Replay allows you to record real user workflows. It then uses Visual Reverse Engineering to convert those recordings into clean, documented React components and Design Systems.

Visual Reverse Engineering is the process of capturing the visual state and functional transitions of a legacy application and automatically generating equivalent modern code structures (like React and TypeScript) that mirror the original behavior.


Why Dark Launching Legacy Refactors is the Standard for 2024#

In the past, dark launching was reserved for backend APIs. However, with the rise of complex frontend architectures, we must now dark launch the UI layer. By using Replay to generate your modern component library, you ensure that the "Shadow UI" is built on the exact same specifications as the legacy system.

Comparison: Manual Refactoring vs. Replay-Accelerated Dark Launching#

MetricManual Legacy RewriteReplay-Accelerated Refactor
Documentation EffortManual audit of source codeAutomated via workflow recording
Time per Screen40+ Hours4 Hours
Logic VerificationManual QA / User AcceptanceAutomated Shadow Parity Testing
Average Timeline18–24 MonthsWeeks to Months
Risk ProfileHigh (Big Bang Release)Low (Dark Launching / Incremental)
Cost of Technical DebtIncreasing during rewriteDecreasing via Replay Blueprints

Implementing the Shadow Proxy: A Technical Deep Dive#

To execute dark launching legacy refactors effectively, you need a mechanism to fork traffic. In a modern web environment, this often happens at the component or service worker level.

Below is a simplified TypeScript implementation of a "Comparison Proxy." This component wraps both the legacy UI (rendered in a hidden iframe or container) and the new Replay-generated React component.

typescript
import React, { useEffect, useState } from 'react'; import { NewModernComponent } from './modern/AccountDashboard'; import { LegacyComponentWrapper } from './legacy/LegacyWrapper'; interface ParityProps { userId: string; payload: any; sampleRate: number; // e.g., 0.1 for 10% } const DarkLaunchProxy: React.FC<ParityProps> = ({ userId, payload, sampleRate }) => { const [isShadowActive, setIsShadowActive] = useState(false); useEffect(() => { // Determine if this user falls into the 10% dark launch bucket const shouldShadow = Math.random() < sampleRate; setIsShadowActive(shouldShadow); }, [sampleRate]); const handleParityCheck = (legacyData: any, modernData: any) => { if (JSON.stringify(legacyData) !== JSON.stringify(modernData)) { console.error(`Parity Mismatch for user ${userId}:`, { legacyData, modernData }); // Send mismatch report to Replay AI Automation Suite for analysis } }; return ( <div> {/* Always render Legacy for the user */} <LegacyComponentWrapper data={payload} onStateChange={(data) => isShadowActive && window.dispatchEvent(new CustomEvent('legacy-state', { detail: data }))} /> {/* Shadow Render the Modern Component (Hidden) */} {isShadowActive && ( <div style={{ display: 'none' }} aria-hidden="true"> <NewModernComponent data={payload} onRender={(data) => { // Listen for legacy state and compare window.addEventListener('legacy-state', (e: any) => handleParityCheck(e.detail, data), { once: true }); }} /> </div> )} </div> ); };

Leveraging Replay for Component Parity#

The challenge with the code above is ensuring

text
NewModernComponent
actually matches the legacy behavior. If you are manually writing that React code, you are likely to introduce bugs.

By using Replay's Library feature, you can record the legacy screen, and Replay will generate the React code, the CSS modules, and the TypeScript interfaces automatically. This ensures that the "Modern" version in your dark launch is a 1:1 functional clone of the "Legacy" version. For more on this, see our guide on creating design systems from legacy UIs.


The 4-Step Workflow for Dark Launching Legacy Refactors#

1. Capture the Source of Truth#

Before touching a line of code, use Replay to record the existing workflows in your legacy application. This creates a "Flow"—a visual and technical map of the state changes, API calls, and UI transitions. This is critical because, as noted, 67% of legacy systems lack documentation. The recording becomes the documentation.

2. Generate the Modern Blueprint#

Using Replay’s Blueprints, the platform analyzes the recording and generates modular React components. Instead of a 40-hour manual effort per screen, Replay delivers a documented, production-ready component in about 4 hours.

3. Deploy the Shadow Layer#

Integrate the generated components into your application using a feature flag or the proxy pattern shown above. Direct 10% of your live traffic to execute the new code in the background.

4. Automated Parity Validation#

Use the Replay AI Automation Suite to monitor the shadow traffic. The AI compares the state of the Replay-generated component against the legacy DOM state. If a user in a regulated industry (like Insurance or Government) encounters a specific edge case where the new logic deviates from the old, Replay flags the specific workflow for review.

typescript
// Example of a Replay-generated Blueprint Component import React from 'react'; import { useLegacyDataStream } from '@replay-build/core'; /** * @component AccountBalance * @description Automatically generated from Legacy Recording #8821 * @paritied_with Legacy_v4.2_Table */ export const AccountBalance: React.FC<{ accountId: string }> = ({ accountId }) => { const { data, loading, error } = useLegacyDataStream(accountId); if (loading) return <SkeletonLoader />; if (error) return <ErrorMessage error={error} />; return ( <div className="modern-balance-card"> <h3>Current Balance</h3> <span className="amount">{data.formattedBalance}</span> <div className="metadata"> Last Updated: {new Date(data.timestamp).toLocaleDateString()} </div> </div> ); };

Solving the "Technical Debt" Tax#

Industry experts recommend that enterprises allocate at least 20% of their dev capacity to technical debt. However, with a $3.6 trillion global debt load, 20% isn't enough to keep up with the pace of modern web standards.

Replay changes the economics of this equation. By reducing the time required for dark launching legacy refactors by 70%, organizations can clear their debt backlogs three times faster. This is particularly vital in sectors like Financial Services and Telecom, where legacy systems are not just "old code" but are the literal infrastructure of the business.

Security and Compliance in Refactoring#

For regulated industries, dark launching offers a layer of security. Since the refactored code is running in a "shadow" mode, any potential security vulnerabilities in the new logic do not expose the primary data path until they are verified. Replay is built for these environments, offering SOC2 compliance, HIPAA-readiness, and the ability to run On-Premise for maximum data sovereignty.


Frequently Asked Questions#

What is the difference between dark launching and canary releases?#

While both involve incremental rollouts, a canary release exposes a small subset of users to the new experience to test for performance or stability. Dark launching legacy refactors involves running the new code for a subset of users without changing their experience. The goal is to compare the internal logic and output of the new system against the old one in a live environment without the user ever knowing.

How does Replay handle complex state management in legacy apps?#

Replay’s Visual Reverse Engineering doesn't just look at the HTML; it tracks the underlying state transitions. When you record a flow, Replay captures the data inputs, the intermediate state changes, and the final output. The AI then maps these to modern state management patterns (like React Context or Redux) within the generated Blueprints.

Can I dark launch refactors on an on-premise legacy system?#

Yes. Replay offers on-premise deployment options specifically for industries like Defense and Banking. You can record workflows and generate code within your own secure perimeter, ensuring that sensitive data used during the dark launching legacy refactors process never leaves your network.

Is it possible to dark launch without a proxy?#

While a proxy is the most common method, you can also use "Feature Toggles" at the component level. The key is to ensure the new logic executes, its results are logged, but its output is discarded in favor of the legacy output until parity is proven. Replay’s Library makes this easier by providing standardized components that are ready for toggle-based integration.


Conclusion: The End of the High-Risk Rewrite#

The era of spending 18-24 months on a high-risk legacy rewrite is over. By leveraging dark launching legacy refactors and Visual Reverse Engineering, enterprise architects can move with the speed of a startup while maintaining the stability of a 50-year-old institution.

With Replay, you aren't just guessing what the legacy code does; you are capturing it, codifying it, and verifying it against real-world traffic. This approach turns "technical debt" into a "modernization asset," allowing you to ship React-based design systems in weeks rather than years.

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