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January 30, 20268 min readModernizing Federal Procurement

Modernizing Federal Procurement Portals: A Zero-Trust Approach to UI Extraction

R
Replay Team
Developer Advocates

The federal government currently manages over $3.6 trillion in technical debt, and nowhere is this burden more visible—or more dangerous—than in federal procurement portals. These systems, often built on aging Java Applets, ColdFusion, or monolithic .NET frameworks, are the backbone of government spending. Yet, 70% of legacy modernization projects in the public sector fail or significantly exceed their timelines because they rely on "Big Bang" rewrites.

When a procurement portal goes down or fails to meet new compliance mandates, the mission stops. The traditional approach of manual "code archaeology"—spending months interviewing retiring developers and digging through undocumented repositories—is no longer viable. With 67% of legacy systems lacking any form of up-to-date documentation, we need a way to move from a black box to a documented, modern codebase without the risk of a total rewrite.

TL;DR: Modernizing federal procurement portals requires moving away from manual code archaeology toward Visual Reverse Engineering, reducing screen migration time from 40 hours to 4 while maintaining a Zero-Trust security posture.

The High Cost of Manual Archaeology#

In the federal space, "modernization" is often synonymous with "risk." Enterprise Architects are tasked with migrating complex workflows—bid submissions, vendor verifications, and contract management—into modern React-based architectures. The standard manual process for extracting a single complex screen looks like this:

  1. Discovery: 10 hours analyzing legacy source code and database schemas.
  2. Logic Mapping: 15 hours documenting edge cases and validation rules.
  3. UI Reconstruction: 10 hours manually building the React components and CSS.
  4. Testing: 5 hours verifying the new screen matches the old logic.

That is 40 hours per screen. For a procurement portal with 200+ screens, you are looking at an 18-month timeline before the first production deployment. This is why Replay is shifting the paradigm. By using video as the source of truth for reverse engineering, Replay reduces this 40-hour process to just 4 hours.

Modernization Strategy Comparison#

ApproachTimelineRiskSecurity ComplianceDocumentation
Big Bang Rewrite18–24 MonthsHigh (70% Fail Rate)Difficult to AuditPost-hoc (Manual)
Strangler Fig12–18 MonthsMediumModerateIncremental
Visual Extraction (Replay)2–8 WeeksLowZero-Trust ReadyAutomated & Living

The Zero-Trust Extraction Framework#

In a federal environment, security isn't a feature; it's the foundation. Modernizing federal procurement systems requires a Zero-Trust approach to UI extraction. You cannot simply point an AI at a live production database and hope for the best.

Replay’s approach to Visual Reverse Engineering allows architects to record real user workflows in a sandboxed environment. The platform captures the DOM mutations, state changes, and network calls, then reconstructs them into clean, documented React components. This ensures that no unauthorized data ever leaves the secure perimeter, and the resulting code is fully auditable.

⚠️ Warning: Most automated "low-code" migration tools create "spaghetti code" that is harder to maintain than the original legacy system. Always ensure your extraction tool generates standard, human-readable React/TypeScript.

Step 1: Recording the Source of Truth#

Instead of reading 20-year-old COBOL or Java code, a developer or SME records a session of the legacy procurement workflow. This captures the "as-is" state of the system, including idiosyncratic business logic that was never documented.

Step 2: Component Extraction and Library Mapping#

Replay analyzes the recording and identifies UI patterns. It maps legacy elements to your modern Design System (Library). If a legacy "Submit Bid" button has specific validation logic, Replay extracts that logic into a functional React component.

Step 3: Generating the Modern Stack#

The platform generates more than just UI. It produces:

  • API Contracts: Based on the network calls captured during the recording.
  • E2E Tests: Automatically generated Playwright or Cypress tests to ensure parity.
  • Technical Debt Audit: A report on what logic was preserved and what was refactored.
typescript
// Example: Replay-generated React component from a legacy procurement form // This component preserves legacy validation logic while using modern hooks. import React, { useState, useEffect } from 'react'; import { Button, TextField, Alert } from '@gov-design-system/core'; import { validateFederalTaxID } from '../utils/validators'; export const VendorOnboardingForm = ({ legacyData }) => { const [formData, setFormData] = useState(legacyData); const [error, setError] = useState<string | null>(null); // Business logic preserved from legacy Java Applet recording const handleSubmit = async (e: React.FormEvent) => { e.preventDefault(); if (!validateFederalTaxID(formData.taxId)) { setError("Invalid EIN format. Must match IRS Publication 1220."); return; } // API Contract generated from captured network trace const response = await fetch('/api/v1/procurement/vendor-sync', { method: 'POST', body: JSON.stringify(formData), }); if (response.ok) { // Logic for multi-step workflow progression } }; return ( <form onSubmit={handleSubmit}> <TextField label="Business Name" value={formData.name} onChange={(val) => setFormData({...formData, name: val})} /> {error && <Alert severity="error">{error}</Alert>} <Button type="submit">Submit for Verification</Button> </form> ); };

Solving the "Black Box" Documentation Gap#

The primary reason federal rewrites fail is the "Loss of Tribal Knowledge." When the original developers of a 2004-era procurement system leave, the system becomes a black box. Manual documentation is often abandoned because it's too time-consuming.

Replay addresses this by providing "Documentation without archaeology." Because the platform understands the visual and functional state of the legacy application, it can generate comprehensive technical documentation automatically.

📝 Note: Replay's AI Automation Suite doesn't just guess what the code does; it observes what the code actually does during execution. This distinction is critical for regulated industries like Government and Healthcare.

Technical Debt Audit and API Synthesis#

One of the most complex parts of modernizing federal procurement is the backend. Many portals rely on brittle SOAP APIs or direct database connections. Replay’s "Blueprints" feature allows architects to see the exact data shapes required by the UI.

json
// Generated API Contract for Legacy Procurement Endpoint { "endpoint": "/legacy/procurement/validate_vendor.do", "method": "POST", "request_schema": { "vendor_id": "string", "cage_code": "string (regex: ^[0-9A-Z]{5}$)", "sam_status": "boolean" }, "observed_logic": "Checks CAGE code against SAM.gov mirror before allowing bid submission." }

Implementation Roadmap: From Legacy to React in Days#

For a Senior Enterprise Architect, the goal is to show immediate ROI to stakeholders. Using Replay, the roadmap for a federal procurement portal modernization looks like this:

Step 1: Assessment and Scoping#

Identify the highest-risk screens (e.g., the Vendor Registration flow). Use Replay to record these flows. The platform immediately provides a technical debt audit, showing exactly how many components can be automatically extracted and mapped to your new design system.

Step 2: Visual Extraction#

Run the recordings through the Replay AI Suite. Within minutes, you have a library of React components that mirror the legacy functionality but use modern, maintainable code.

Step 3: Logic Reconciliation#

Review the extracted business logic. Replay highlights complex conditional branches that were captured during the recording. This is where your senior developers spend their time—not on CSS, but on ensuring the business rules are 100% accurate.

Step 4: E2E Parity Testing#

Replay generates end-to-end tests that run against both the legacy system and the new React version. When both tests pass with the same inputs, you have mathematical certainty that your modernization is successful.

💰 ROI Insight: By automating the UI extraction and documentation phases, agencies typically see a 70% reduction in total project hours. A project slated for 18 months can be delivered in under 6 months.

Built for Regulated Environments#

Federal systems cannot use public-cloud AI tools that train on sensitive data. Replay is built for the unique constraints of government IT:

  • On-Premise Availability: Run the entire extraction engine within your own secure environment (AWS GovCloud, Azure Government, or air-gapped).
  • SOC2 & HIPAA Ready: Compliance is baked into the platform architecture.
  • Zero Data Retention: Replay can be configured to process recordings and generate code without ever storing sensitive PII or vendor data.

Frequently Asked Questions#

How does Replay handle "hidden" business logic not visible on screen?#

While Replay is a visual-first tool, it captures the underlying network traffic and DOM state changes. If a legacy system performs a background validation check that results in a UI change (like an error message or a disabled button), Replay captures that logic path. For deep backend logic (e.g., stored procedures), Replay provides the API contracts needed to bridge the new UI to the old backend.

Can Replay work with extremely old technologies like Flash or Silverlight?#

Yes. Because Replay uses video-based visual reverse engineering, it can "see" and interpret any interface that a human user can interact with. It then maps those visual elements to modern, accessible HTML5 and React components.

What is the learning curve for an Enterprise Architecture team?#

Most teams are productive within 48 hours. The workflow is intuitive: record a session, review the extracted components in the Blueprint editor, and export to your repository. It integrates directly into existing CI/CD pipelines.

How does this affect the "Strangler Fig" pattern?#

Replay is the perfect engine for the Strangler Fig pattern. It allows you to quickly "peel off" individual screens or modules of a legacy portal, modernize them, and proxy them back into the legacy application. This enables incremental delivery without the risk of a "Big Bang" failure.


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

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