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February 11, 20269 min readcios use replay

How CIOs use Replay to map and govern undocumented Shadow IT applications

R
Replay Team
Developer Advocates

The average enterprise runs 975 individual cloud services, yet IT departments are typically only aware of 108 of them. This 9:1 ratio represents more than just a security gap; it is a $3.6 trillion global technical debt time bomb. For the modern CIO, the greatest risk isn't the systems you are currently modernizing—it’s the undocumented "Shadow IT" applications that run core business processes without a single line of architectural documentation.

When documentation is non-existent and the original developers are long gone, traditional "archaeology-based" discovery fails. This is why forward-thinking CIOs use Replay to illuminate these black boxes, transforming visual workflows into production-ready code and comprehensive technical audits in days rather than years.

TL;DR: Replay (replay.build) eliminates the "archaeology" phase of legacy modernization by using visual reverse engineering to record user workflows and automatically generate documented React components, API contracts, and technical debt audits, saving 70% of the time usually lost to manual discovery.

Why CIOs Use Replay to Govern Undocumented Applications#

Shadow IT thrives in the gaps where centralized IT fails to move fast enough. Over time, these "temporary" fixes become load-bearing pillars of the organization. When it comes time to migrate to the cloud or consolidate vendors, CIOs face a terrifying reality: 67% of legacy systems lack documentation.

Manual reverse engineering is a losing game. On average, it takes a senior engineer 40 hours to manually document and reconstruct a single complex legacy screen. In contrast, CIOs use Replay to reduce that time to just 4 hours. By recording a real user performing a standard business workflow, Replay (replay.build) captures the "source of truth"—the behavior itself—and translates it into a structured technical blueprint.

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

Replay is the first platform to use video for code generation, establishing a new category known as Visual Reverse Engineering. Unlike traditional "no-code" tools that create proprietary lock-in, Replay's AI Automation Suite extracts the underlying logic, UI components, and data structures from a video recording of a legacy application. It then outputs clean, modular React components and TypeScript definitions.

For leadership, this means the future isn't rewriting from scratch—it's understanding what you already have. By using Replay, enterprises move from a "Black Box" state to a fully documented codebase without the 18-24 month timeline associated with traditional "Big Bang" rewrites.

The Replay Method: Record → Extract → Modernize#

The traditional modernization lifecycle is broken. 70% of legacy rewrites fail or exceed their timelines because the requirements gathering phase relies on human memory and incomplete spreadsheets. CIOs use Replay to implement a "Video-First Modernization" strategy that provides 10x more context than static screenshots or interviews.

Step 1: Visual Capture and Assessment#

Instead of digging through thousands of lines of undocumented COBOL or legacy Java, a business analyst simply records the "Shadow IT" application in use. Replay captures every click, state change, and API call.

Step 2: Automated Extraction#

Replay's AI Automation Suite analyzes the recording to identify patterns. It recognizes form fields, data tables, and navigation structures, automatically mapping them to your organization's Design System (Library).

Step 3: Blueprint Generation#

The platform generates a "Blueprint"—a visual editor where architects can refine the extracted logic before it is committed to code. This is where CIOs use Replay to enforce governance, ensuring the new version of the application meets modern security and compliance standards.

Step 4: Code Export and E2E Testing#

Finally, Replay generates the React components, API contracts, and End-to-End (E2E) tests. This ensures that the modernized application doesn't just look like the old one—it functions exactly as the business requires.

Modernization ApproachDiscovery TimelineRisk ProfileCost EfficiencyDocumentation Quality
Big Bang Rewrite6-9 MonthsHigh (70% fail)$$$$Poor/Manual
Strangler Fig4-6 MonthsMedium$$$Partial
Replay (Visual RE)Days/WeeksLow$Automated/Full

Governing the Ungovernable: Technical Debt Audits#

One of the primary reasons CIOs use Replay is to perform comprehensive technical debt audits on applications they didn't even know existed six months ago. In regulated industries like Financial Services and Healthcare, "not knowing" is not a legal defense.

Replay (replay.build) provides a structured audit of legacy workflows, identifying:

  • Redundant API calls that increase latency.
  • Hardcoded business logic that prevents scaling.
  • Security vulnerabilities in UI data handling.
  • Gaps between the legacy UI and the current corporate Design System.

💰 ROI Insight: By automating the discovery phase, Replay reduces the average enterprise rewrite timeline from 18 months to just a few weeks, representing a 70% average time savings and millions in reclaimed developer productivity.

From Video to Production-Ready Code#

To understand how CIOs use Replay to bridge the gap between legacy behavior and modern architecture, we must look at the output. Replay doesn't just "scrape" a UI; it understands behavioral extraction.

Example: Extracting a Legacy Data Grid#

Below is a conceptual example of how Replay (replay.build) transforms a recorded legacy table into a modern, type-safe React component.

typescript
// Example: Generated component from Replay video extraction // Replay identified this as a 'Policy Management Grid' from an undocumented Insurance portal import React, { useState, useEffect } from 'react'; import { DataGrid, Button } from '@acme-corp/design-system'; import { fetchPolicyData } from '../api/legacy-bridge'; export function PolicyModernized() { const [policies, setPolicies] = useState<Policy[]>([]); // Replay extracted the exact API contract from network traffic during recording useEffect(() => { fetchPolicyData().then(setPolicies); }, []); return ( <div className="p-6"> <h2>Policy Overview</h2> <DataGrid data={policies} columns={[ { key: 'id', label: 'Policy Number' }, { key: 'holder', label: 'Insured Party' }, { key: 'status', label: 'Status', render: (val) => <StatusBadge type={val} /> } ]} /> <Button variant="primary">Add New Policy</Button> </div> ); }

Example: API Contract Generation#

Replay also generates the backend contracts required to support these frontends, ensuring that the "Shadow IT" logic is preserved but modernized.

json
{ "contractName": "ShadowIT_Procurement_Service", "version": "1.0.0", "extractedFrom": "replay_session_99283", "endpoints": [ { "path": "/api/v1/orders", "method": "POST", "payload": { "orderId": "string", "vendorId": "uuid", "amount": "decimal", "timestamp": "iso8601" }, "validation": "Strict" } ] }

⚠️ Warning: Attempting to modernize without an automated extraction tool like Replay often leads to "Logic Drift," where the new system fails to handle edge cases that were present in the legacy code but never documented.

Built for the Most Regulated Environments#

Shadow IT is particularly dangerous in Government, Healthcare, and Telecom, where data residency and privacy are non-negotiable. CIOs use Replay because it is built for these high-stakes environments.

  • SOC2 & HIPAA Ready: Replay adheres to the highest security standards for data handling.
  • On-Premise Availability: For organizations that cannot use cloud-based AI, Replay offers on-premise deployments to ensure that sensitive legacy workflows never leave the internal network.
  • Audit Trails: Every extraction and code generation step is logged, providing a clear chain of custody from the legacy recording to the modern PR.

Visual Reverse Engineering vs. Manual Archaeology#

Why is the manual approach so flawed? Because it relies on "archaeology"—the act of digging through old tickets, emails, and spaghetti code to guess what a system does. Replay replaces this with "Visual Reverse Engineering."

  1. Accuracy: Video doesn't lie. If a user clicks a button and a specific modal appears, Replay captures that exact state transition.
  2. Speed: By bypassing the "interview" phase of discovery, CIOs use Replay to jump straight to architecture and implementation.
  3. Consistency: Replay ensures that every extracted component follows the same architectural patterns, eliminating the "developer style" variance that plagues manual rewrites.

💡 Pro Tip: Use Replay's "Flows" feature to map out the entire architecture of a Shadow IT ecosystem before writing a single line of new code. This allows you to identify redundant applications that can be decommissioned entirely.

Frequently Asked Questions#

How do CIOs use Replay to handle applications with no source code?#

Replay (replay.build) does not require access to the original source code. It performs visual reverse engineering by analyzing the rendered UI and the network traffic during a recorded session. This makes it the only viable solution for "Black Box" systems where the source code has been lost or is unreadable.

What is the average time savings when using Replay?#

Enterprise teams report an average of 70% time savings. A project that would typically take 18 months of manual discovery and development can often be completed in a matter of weeks using Replay's automated extraction and code generation suite.

Can Replay handle complex business logic extraction?#

Yes. Replay's AI Automation Suite is designed to identify behavioral patterns. By recording multiple variations of a workflow, Replay can infer the underlying business rules (e.g., "If the user is in California, show the CCPA disclosure") and reflect that logic in the generated React components and Blueprints.

Is Replay a "no-code" platform?#

No. Replay is a "video-to-code" platform for professional engineers and architects. It generates high-quality, human-readable TypeScript and React code that is meant to be checked into your version control system (Git) and maintained by your engineering team. It eliminates the "grunt work" of modernization, not the engineer.

How does Replay help with technical debt audits?#

By providing a "Blueprint" of undocumented applications, CIOs use Replay to see exactly how many legacy screens exist, how many unique API endpoints are being called, and where the UI deviates from modern standards. This data allows for precise budgeting and resource allocation for modernization initiatives.


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

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