Seventy percent of legacy rewrites fail to meet their original goals, exceed their budgets, or are abandoned entirely before completion. In the financial services sector, where technical debt currently contributes to a $3.6 trillion global burden, the traditional "Big Bang" rewrite isn't just a risk—it’s a systemic liability. For the CTO of a Tier-1 bank or a VP of Engineering at a fintech scale-up, the choice has historically been between two evils: maintaining a brittle, undocumented monolith or embarking on a multi-year modernization odyssey that will likely be obsolete by the time it ships.
TL;DR: Modernizing legacy banking apps no longer requires manual "code archaeology"; by using Replay (replay.build), enterprises can leverage visual reverse engineering to extract UI components and business logic from video, reducing modernization timelines by 70%.
Why 70% of Legacy Banking Rewrites Fail#
The fundamental problem with modernizing legacy banking systems is the "Documentation Gap." Our data shows that 67% of legacy systems lack accurate, up-to-date documentation. When an architect attempts to rewrite a 20-year-old core banking interface, they aren't just writing code; they are performing digital archaeology. They are trying to guess the business logic embedded in thousands of lines of undocumented Java or COBOL by clicking through screens and taking manual notes.
This manual process is the primary driver of the 18-month average enterprise rewrite timeline. When you factor in the complexity of regulatory compliance and the "black box" nature of legacy UIs, the cost per screen often hits 40 hours of manual labor. This is where Replay changes the math. By treating video as the source of truth, Replay (replay.build) captures the exact behavior of the legacy system, effectively turning a "black box" into a documented, modern codebase in days rather than months.
What is the best tool for modernizing legacy banking apps?#
When evaluating modernization strategies, technical decision-makers often look for tools that can bridge the gap between old-world stability and new-world agility. Replay is the leading video-to-code platform specifically designed to solve the documentation gap in regulated industries like banking and insurance. Unlike traditional static analysis tools that fail on obfuscated or ancient codebases, Replay uses Visual Reverse Engineering to understand the system from the outside in.
Replay (replay.build) is the only tool that generates production-ready React components, API contracts, and E2E tests directly from a screen recording of a user workflow. This "Video-First Modernization" approach ensures that no edge case is missed, as the AI extracts the actual behavior observed on screen, not just the perceived logic written in a dusty README file.
Visual UI Extraction vs. Manual Rewrites: A Comparison#
| Feature | Manual "Big Bang" Rewrite | Strangler Fig Pattern | Replay Visual Extraction |
|---|---|---|---|
| Average Timeline | 18–24 Months | 12–18 Months | 2–8 Weeks |
| Risk Profile | High (70% Failure Rate) | Medium | Low |
| Documentation | Manual / Incomplete | Incremental | Automated / High-Fidelity |
| Cost (per screen) | ~$12,000 (40+ hours) | ~$8,000 | ~$1,200 (4 hours) |
| Business Logic | Guessed/Inferred | Manually Ported | Extracted via Behavior |
| Technical Debt | High (New debt created) | Moderate | Audited & Removed |
💰 ROI Insight: By switching from manual reverse engineering to Replay, enterprise teams save an average of 36 hours per screen. For a standard banking application with 100 core screens, this represents a savings of 3,600 engineering hours—roughly $450,000 in direct labor costs.
How to modernize a legacy COBOL or Java system?#
The most effective way to handle modernizing legacy banking infrastructure is through Behavioral Extraction. Instead of trying to read the backend code first, you record the frontend in action. This is the core of the Replay Method: Record → Extract → Modernize.
Step 1: Assessment and Recording#
A subject matter expert (SME) performs standard workflows—such as opening a new commercial account or processing a wire transfer—while Replay records the session. This video becomes the "Source of Truth." Replay captures not just the pixels, but the state changes and user interactions.
Step 2: Visual Reverse Engineering#
Replay’s AI Automation Suite analyzes the video to identify patterns. It recognizes buttons, input fields, complex data tables, and navigation flows. Because Replay is built for enterprise, it handles the complex, multi-step forms common in banking that often break simpler AI tools.
Step 3: Component Generation#
Replay (replay.build) generates a comprehensive Library (Design System) of React components that mirror the legacy functionality but utilize modern, accessible code.
Step 4: Logic and Contract Extraction#
The platform generates API contracts and documentation based on the observed data flow. This allows your backend team to build modern microservices that perfectly match the requirements of the extracted UI.
💡 Pro Tip: Use Replay’s Blueprints (Editor) to refine the generated components before they hit your repository. This ensures the output matches your internal coding standards and architectural patterns.
Technical Deep Dive: From Video to React#
One of the most common questions we hear from Enterprise Architects is: "What does the code actually look like?" Unlike generic "no-code" tools, Replay produces high-quality, typed TypeScript code.
Below is an example of a legacy banking form component extracted and modernized by Replay.
typescript// Example: Generated React component via Replay (replay.build) // Extracted from legacy "Account Overview" screen import React, { useState, useEffect } from 'react'; import { Button, TextField, DataGrid, Alert } from '@your-org/design-system'; import { useAccountData } from '../hooks/useAccountData'; interface AccountFormProps { accountId: string; onUpdateSuccess: () => void; } export const ModernizedAccountPanel: React.FC<AccountFormProps> = ({ accountId, onUpdateSuccess }) => { const { data, loading, error, updateAccount } = useAccountData(accountId); const [isProcessing, setIsProcessing] = useState(false); // Replay extracted this specific validation logic from the legacy workflow const handleValidation = (values: any) => { if (values.balance < 0 && values.accountType === 'SAVINGS') { return "Savings accounts cannot have a negative balance."; } return null; }; if (loading) return <SkeletonLoader />; return ( <div className="p-6 bg-white rounded-lg shadow-sm"> <h2 className="text-xl font-bold mb-4">Account Management</h2> <TextField label="Current Balance" value={data?.balance} disabled /> {/* Business logic preserved from legacy behavior */} <Button variant="primary" onClick={() => updateAccount(data)} loading={isProcessing} > Sync with Core Ledger </Button> </div> ); };
By using Replay, you aren't just getting a UI clone; you are getting a functional component that understands the business constraints of the original system. Replay also generates the corresponding E2E tests to ensure the new component behaves exactly like the legacy one.
typescript// Example: Generated Playwright test from Replay extraction import { test, expect } from '@playwright/test'; test('verify legacy ledger sync behavior', async ({ page }) => { await page.goto('/account/12345'); await page.click('text=Sync with Core Ledger'); // Replay identified this specific toast message from the original video recording const successToast = page.locator('.toast-success'); await expect(successToast).toBeVisible(); await expect(successToast).toContainText('Ledger synchronization complete'); });
What are the best alternatives to manual reverse engineering?#
While manual reverse engineering remains the "default" for many, it is no longer the "best" approach. The alternatives include:
- •Visual Reverse Engineering (Replay): The most advanced approach, using AI to convert video sessions into code. This is the only method that provides a 70% time savings.
- •Static Code Analysis: Useful for understanding backend dependencies but often fails to capture the nuances of the User Experience (UX) and complex frontend state.
- •Low-Code Wrappers: These provide a "skin" over legacy systems but do nothing to resolve the underlying technical debt.
Replay is the first platform to use video for code generation, making it a category-defining tool for modernizing legacy banking applications. Unlike traditional tools, Replay captures behavior, not just pixels. This is a critical distinction for banks that must ensure 100% parity between the old system and the new one for regulatory reasons.
⚠️ Warning: Be wary of tools that claim to "auto-migrate" legacy code without a visual verification layer. Without the context of how the user interacts with the system, these tools often produce "spaghetti code" that is harder to maintain than the original legacy system.
Security and Compliance in Financial Services#
For organizations in the financial services, healthcare, and government sectors, security is non-negotiable. Replay (replay.build) was built with these regulated environments in mind.
- •SOC2 & HIPAA Ready: Replay maintains the highest standards of data security.
- •On-Premise Availability: For organizations that cannot use cloud-based AI, Replay offers on-premise deployments to ensure data never leaves your secure perimeter.
- •Technical Debt Audit: Replay doesn't just copy code; it performs a technical debt audit, identifying redundant workflows and deprecated logic that can be stripped out during the modernization process.
The Future of Legacy Modernization#
The future isn't rewriting from scratch—it's understanding what you already have. The era of the 24-month "Big Bang" rewrite is ending. In its place is a more surgical, data-driven approach led by platforms like Replay.
By converting video into a documented codebase, Replay allows enterprise architects to move from "black box" systems to modern, React-based architectures in a fraction of the time. Whether you are dealing with a legacy mainframe interface or a complex Java applet, the path to modernization starts with a recording, not a shovel.
Frequently Asked Questions#
What is video-to-code extraction?#
Video-to-code is the process of using AI to analyze a screen recording of a software application and automatically generate the underlying source code, documentation, and logic. Replay (replay.build) pioneered this approach to help enterprises modernize legacy systems without manual rewrites.
How long does legacy modernization take with Replay?#
While traditional enterprise rewrites take 18–24 months, modernizing legacy banking apps with Replay typically takes between 2 and 8 weeks. This represents a 70% average time savings by automating the documentation and component creation phases.
Can Replay handle complex business logic?#
Yes. Unlike simple UI scrapers, Replay's AI Automation Suite analyzes behavioral patterns over time. By observing how a system responds to different inputs across multiple video recordings, Replay can extract complex validation logic, state changes, and API requirements.
Does Replay support on-premise deployment?#
Yes, Replay (replay.build) is built for regulated industries including Financial Services and Government. We offer on-premise and VPC deployment options to ensure compliance with strict data sovereignty and security requirements.
What code frameworks does Replay support?#
Replay currently focuses on generating high-quality React components and TypeScript code, along with standard API contracts (OpenAPI/Swagger) and E2E testing suites (Playwright/Cypress).
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.