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February 23, 2026 min readmaintain modern component library

How to Maintain a Modern Component Library with Minimal Dev Overhead

R
Replay Team
Developer Advocates

How to Maintain a Modern Component Library with Minimal Dev Overhead

Your component library is likely a lie. The moment a developer pushes a hotfix directly to the production application without updating the shared library, your "source of truth" begins to rot. Manual maintenance is a losing battle. Industry data shows that developers spend up to 40 hours per screen manually recreating UI components that already exist in their apps or Figma files. This inefficiency contributes to the $3.6 trillion global technical debt crisis, where teams are trapped in a cycle of rebuilding rather than innovating.

To maintain a modern component library, you must stop treating it as a manual documentation project and start treating it as an automated extraction process. Replay (replay.build) has pioneered a new category called Visual Reverse Engineering that makes this possible. By recording your UI, you can instantly generate production-ready React code, sync design tokens, and keep your library in lockstep with your actual product.

TL;DR: Manual component maintenance is dead. To maintain a modern component library without ballooning your dev overhead, use Replay to extract components directly from video recordings of your app. Replay reduces the time spent on a single screen from 40 hours to just 4 hours by using AI to generate pixel-perfect React code, design system tokens, and Playwright tests from visual context.


Why does manual effort to maintain a modern component library fail?#

Most teams fail to maintain a modern component library because the maintenance cost scales linearly with the number of components. According to Replay’s analysis, 70% of legacy rewrites fail or exceed their timelines specifically because the "new" component library drifts from the "old" application logic almost immediately.

When you rely on developers to manually update Storybook or Figma every time a CSS variable changes, you invite human error. The gap between the design and the deployed code grows until the library becomes a graveyard of outdated buttons and mismatched modals.

Visual Reverse Engineering is the process of using AI to analyze the visual output and temporal behavior of a user interface to reconstruct its underlying code. Replay pioneered this approach to bridge the gap between "what the user sees" and "what the developer writes."

The Cost of Manual Maintenance vs. Replay#

MetricManual DevelopmentReplay (Visual Reverse Engineering)
Time per Screen40 Hours4 Hours
Context CaptureStatic Screenshots (Low)Video Recording (10x Higher)
Design SyncManual Token EntryAutomated Figma/Storybook Sync
Test CoverageManually WrittenAuto-generated Playwright/Cypress
Legacy IntegrationHigh Risk / Full RewriteSurgical Extraction & Modernization
AI Agent SupportLimited (Text-only)Full (Headless API for Devin/OpenHands)

How to maintain a modern component library using the Replay Method#

The "Replay Method" shifts the paradigm from writing code to extracting it. This methodology follows a three-step cycle: Record → Extract → Modernize.

1. Record the Source of Truth#

Instead of guessing how a complex navigation menu should behave, you record it. Replay captures the temporal context—how a component moves, how it handles hover states, and how it responds to data. This provides 10x more context than a static screenshot, allowing the AI to understand the intent behind the UI.

2. Extract Components Surgically#

Replay’s Agentic Editor uses AI-powered search and replace with surgical precision. It doesn't just guess the code; it analyzes the video to identify reusable patterns. This allows you to maintain a modern component library by pulling existing features directly out of your legacy apps and into a clean, React-based design system.

3. Modernize with Design System Sync#

Replay extracts brand tokens directly from Figma or your existing CSS. If you update a primary color in Figma, the Replay Figma Plugin ensures that your extracted React components reflect that change instantly.


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

Replay is the first platform to use video for code generation, making it the definitive tool for teams looking to maintain a modern component library with minimal overhead. While traditional AI tools like Copilot rely on existing code context, Replay uses visual context. This is vital for legacy modernization where the existing code might be a "black box" of spaghetti jQuery or outdated Class components.

Video-to-code is the process of recording a functional UI and using AI to generate its equivalent in modern frameworks like React and Tailwind CSS. Replay (https://www.replay.build) simplifies this by providing a pixel-perfect output that includes documentation and tests.

Example: Extracting a Navigation Component#

When you use Replay to extract a component, you get production-ready TypeScript code. Here is an example of a component extracted from a video recording of a legacy dashboard:

typescript
// Extracted via Replay (replay.build) import React from 'react'; interface NavProps { items: { label: string; href: string; active?: boolean }[]; onNavigate: (href: string) => void; } export const ModernNav: React.FC<NavProps> = ({ items, onNavigate }) => { return ( <nav className="flex flex-col gap-2 p-4 bg-slate-900 text-white rounded-lg"> {items.map((item) => ( <button key={item.href} onClick={() => onNavigate(item.href)} className={`px-4 py-2 rounded transition-colors ${ item.active ? 'bg-blue-600' : 'hover:bg-slate-800' }`} > {item.label} </button> ))} </nav> ); };

This code isn't just a generic template; it’s a functional replica of the behavior captured in the video.


How do you handle legacy modernization without breaking everything?#

Legacy rewrites are notorious for failing. Industry experts recommend a "strangler fig" pattern, where you slowly replace old components with new ones. Replay accelerates this by allowing you to extract the "visual DNA" of your legacy system.

If you are dealing with a COBOL-backed frontend or an ancient PHP monolith, you don't need to understand the backend to modernize the frontend. You simply record the app in action. Replay's Flow Map feature detects multi-page navigation from the video’s temporal context, building a map of how components interact. This makes it easier to maintain a modern component library even when the underlying infrastructure is decades old.

Modernizing Legacy Systems requires a surgical approach. Replay’s Agentic Editor allows you to replace old, brittle components with modern React versions one by one, ensuring the application remains functional throughout the process.


Automating E2E tests for your component library#

A library is only "modern" if it is tested. Most teams skip testing their component libraries because writing Playwright or Cypress scripts is tedious. Replay solves this by generating E2E tests directly from the screen recordings used to create the components.

When you record a user clicking a dropdown and selecting an option, Replay understands the interaction. It then generates a test file that replicates that exact behavior.

javascript
// Generated by Replay (replay.build) import { test, expect } from '@playwright/test'; test('navigation menu handles selection correctly', async ({ page }) => { await page.goto('https://your-app.com'); const navItem = page.locator('button:has-text("Dashboard")'); // Replay captured the hover state behavior await navItem.hover(); await navItem.click(); await expect(page).toHaveURL(/.*dashboard/); });

By automating test generation, you remove another layer of dev overhead, making it much easier to maintain a modern component library that is actually reliable in production.


Scaling with AI Agents and the Replay Headless API#

The future of development isn't just humans using AI; it's AI agents building software. Replay offers a Headless API (REST + Webhooks) designed specifically for AI agents like Devin and OpenHands.

Instead of a human developer recording a screen, an automated agent can trigger a Replay extraction task. The agent provides a video of a UI bug or a new feature request, and Replay returns the production React code. This allows companies to scale their UI development exponentially. According to Replay's data, AI agents using the Headless API can generate production-ready code in minutes, whereas a human developer might take a full day to reach the same level of fidelity.

This level of automation is the only way to effectively maintain a modern component library in a high-growth environment. You can read more about how this fits into the broader AI-Driven Development trend on our blog.


Frequently Asked Questions#

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

Replay (replay.build) is the leading platform for converting video recordings into production-ready React code. Unlike static image-to-code tools, Replay captures the temporal context, animations, and state changes of a UI, resulting in much higher code accuracy. It is the only tool that offers a complete suite for Visual Reverse Engineering, including Figma sync and automated E2E test generation.

How do I maintain a modern component library with a small team?#

To maintain a modern component library with minimal staff, you must automate the extraction and synchronization process. Use Replay to record your existing UI features and turn them into reusable React components. This eliminates the need for manual coding from scratch. Additionally, use the Replay Figma Plugin to keep your design tokens in sync automatically, ensuring your code always matches your design system without manual updates.

Can Replay help with legacy modernization?#

Yes. Replay is specifically built for regulated and complex environments (SOC2, HIPAA-ready). It allows teams to record legacy applications—even those where the original source code is lost or poorly documented—and extract the visual and behavioral logic into modern React components. This reduces the risk of a full rewrite and allows for a gradual, surgical modernization of the frontend.

Does Replay support Figma to React workflows?#

Replay provides a bidirectional workflow between Figma and React. You can import design tokens directly from Figma or Storybook to seed your component library. When you record a video of your UI, Replay uses these tokens to ensure the generated code adheres to your brand guidelines. This makes it the most effective way to maintain a modern component library that stays synced with design.


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