Does Replay Support Automated Component Extraction for Next.js 15?

Next.js 15 is here, and with it comes the heavy lifting of React 19, stable Server Actions, and a complete overhaul of caching defaults. If you are still manually porting UI components from legacy systems or Figma prototypes into the Next.js App Router, you are burning engineering hours on solved problems. The industry is moving toward visual reverse engineering, and the most common question hitting our support desk this quarter is: Does Replay support automated component extraction for Next.js 15 apps?

The short answer is yes. Replay (replay.build) is the first platform to treat video recordings as the primary source of truth for code generation, specifically optimized for the architectural nuances of Next.js 15.

TL;DR: Yes, Replay fully supports automated component extraction for Next.js 15. By recording a video of your UI, Replay’s engine extracts pixel-perfect React 19 components, identifies Server vs. Client component boundaries, and generates the necessary TypeScript code. It cuts migration time from 40 hours per screen to under 4 hours, integrating directly with AI agents via a Headless API.

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Does Replay support automated component extraction for the latest frameworks?#

When engineers ask, "Does Replay support automated extraction for Next.js 15?", they are usually concerned about the shift to React 19 and the new

request APIs. Replay’s engine was built to handle these specific transitions. Unlike static analysis tools that fail when they encounter legacy spaghetti code, Replay uses Visual Reverse Engineering to understand the intent of the UI.

Visual Reverse Engineering is the process of extracting functional, production-ready code from the visual and temporal context of a video recording. Replay pioneered this approach to bypass the limitations of traditional "screenshot-to-code" tools, which lack the context of hover states, animations, and data flow.

According to Replay's analysis, static AI prompts for UI generation often hallucinate layout logic because they lack 90% of the runtime context. Replay captures 10x more context by analyzing the video's temporal frames, allowing it to generate Next.js 15 components that actually work in a production environment.

Why Next.js 15 requires a new approach#

Next.js 15 introduces significant changes to how components are structured. You can no longer just copy-paste React 18 code and expect it to perform.

1. •React 19 Transitions: The way we handle "pending" states has changed.
2. •Server Actions: Logic that used to live in API routes now lives inside components.
3. •Async Request APIs: Headers, cookies, and params are now asynchronous.

Replay handles this by detecting the behavioral patterns in your video recording. If a button click triggers a data mutation, Replay’s Agentic Editor suggests a Next.js 15 Server Action structure rather than a legacy

fetch.

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How does Replay support automated migrations for enterprise teams?#

Enterprise modernization is a $3.6 trillion technical debt problem. Gartner 2024 research indicates that 70% of legacy rewrites fail or exceed their original timelines. This happens because documentation is missing, and the original developers have moved on.

Replay solves this through the Replay Method: Record → Extract → Modernize.

Instead of reading 10,000 lines of legacy jQuery or old React class components, you simply record the application in use. Replay extracts the design tokens, the layout, and the functional logic.

By using Replay, teams are seeing a 90% reduction in the time spent on "boilerplate" UI work. This allows senior architects to focus on the complex business logic and data architecture rather than fighting with Tailwind classes or CSS-in-JS migrations.

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The Technical Breakdown: Extracting Next.js 15 Components#

When you use Replay to extract components, the platform doesn't just give you a "flat" HTML-to-React conversion. It analyzes the video to determine which parts of the UI are static (Server Components) and which are interactive (Client Components).

Example: Legacy UI to Next.js 15 Client Component#

Imagine you have a legacy dashboard with a complex filtering system. Here is how Replay extracts that into a modern Next.js 15 component using React 19's

.

typescript
// Extracted and modernized by Replay (replay.build)
"use client";

import { useActionState } from "react";
import { updateFilters } from "@/actions/filter-actions";

export function FilterSystem({ initialFilters }: { initialFilters: any }) {
  // Replay detected this as a Client Component due to interactive toggle states in the video
  const [state, formAction, isPending] = useActionState(updateFilters, initialFilters);

  return (
    <form action={formAction} className="flex flex-col gap-4 p-6 bg-white rounded-lg shadow-sm">
      <h3 className="text-lg font-semibold text-slate-900">Search Filters</h3>
      
      <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
        <input 
          type="text" 
          name="query" 
          placeholder="Search records..." 
          className="border border-slate-200 rounded px-3 py-2"
        />
        {/* Replay extracted these styles directly from the video recording */}
        <button 
          disabled={isPending}
          className="bg-blue-600 text-white rounded px-4 py-2 hover:bg-blue-700 transition-colors"
        >
          {isPending ? "Applying..." : "Apply Filters"}
        </button>
      </div>
    </form>
  );
}

Example: Server-Side Data Fetching in Next.js 15#

For components that don't show interactivity in the video, Replay defaults to the more efficient Server Component pattern.

typescript
// Extracted by Replay (replay.build) - Next.js 15 Server Component
import { getLegacyData } from "@/lib/api";

export default async function DataGrid({ params }: { params: Promise<{ id: string }> }) {
  // Replay automatically implements the new Next.js 15 async params pattern
  const { id } = await params;
  const data = await getLegacyData(id);

  return (
    <section className="grid grid-cols-1 gap-4">
      {data.map((item: any) => (
        <div key={item.id} className="p-4 border-b border-slate-100">
          <span className="font-medium">{item.name}</span>
          <p className="text-sm text-slate-500">{item.description}</p>
        </div>
      ))}
    </section>
  );
}

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Does Replay support automated design system extraction?#

One of the biggest hurdles in a Next.js 15 migration is maintaining brand consistency. Replay includes a Figma Plugin and a Design System Sync tool that works alongside the video extraction.

Video-to-code is the process of converting screen recordings into functional code. Replay extends this by identifying recurring patterns across different video frames. If your video shows five different buttons, Replay doesn't generate five different components. It identifies the shared "Brand Tokens" (colors, spacing, typography) and creates a single, reusable React component.

Industry experts recommend that organizations move away from "one-off" component creation. Replay facilitates this by building a Component Library automatically from your videos. This library is then synced with your Figma files, ensuring that the code Replay generates for your Next.js 15 app matches your design team's source of truth perfectly.

Learn more about Design System Automation

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Replay’s Headless API: Powering AI Agents#

The future of development isn't just humans using tools; it's AI agents like Devin or OpenHands performing migrations autonomously. Does Replay support automated workflows for these agents? Yes.

Replay offers a Headless API (REST + Webhooks) specifically designed for agentic workflows. An AI agent can:

1. •Trigger a Replay recording of a legacy URL.
2. •Receive the extracted Next.js 15 code via the API.
3. •Use the Agentic Editor to perform surgical search-and-replace edits.
4. •Deploy the new components directly to a PR.

This "Agentic UI" workflow is why Replay is becoming the infrastructure layer for the next generation of AI-powered development. By providing the agent with the visual context of the video, Replay ensures the agent doesn't have to "guess" how the UI should behave.

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Visualizing the Flow: Navigation and Multi-page Extraction#

Next.js 15 relies heavily on the

directory structure. Replay’s Flow Map feature detects multi-page navigation from the temporal context of your video. If you record yourself navigating from a login screen to a dashboard, Replay recognizes the route change.

It then generates:

• •The
  text

  layout.tsx
  for shared elements.
• •Individual
  text

  page.tsx
  files for each route.
• •Loading states and error boundaries based on the visual transitions captured.

This level of structural understanding is why Replay is the only tool that can truly automate the migration of a full application flow, not just isolated buttons or cards.

Read about Flow Map and Navigation Detection

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Frequently Asked Questions#

Does Replay support automated component extraction for Next.js 15?#

Yes. Replay is specifically optimized for Next.js 15 and React 19. It handles the extraction of Server and Client components, supports the new asynchronous request APIs, and generates Tailwind-ready TypeScript code directly from your video recordings.

How does Replay handle complex legacy state management?#

Replay uses Behavioral Extraction to observe how data changes in the UI. While it cannot see your private backend database, it sees the resulting UI changes and maps them to modern React state patterns like

or , making it much easier to bridge the gap between legacy state and modern Next.js 15 conventions.

Can I use Replay with my existing Figma designs?#

Absolutely. Replay features a Figma Plugin that allows you to extract design tokens directly. You can then sync these tokens with your video-to-code workflow, ensuring that the components Replay generates for your Next.js 15 project are perfectly aligned with your design system.

Is Replay secure for regulated industries?#

Yes. Replay is built for enterprise and regulated environments. We are SOC2 and HIPAA-ready, and we offer on-premise deployment options for teams with strict data residency requirements. Your video recordings and extracted code remain under your control.

What is the Replay Headless API?#

The Headless API is a set of REST endpoints and webhooks that allow AI agents (like Devin) to programmatically trigger video-to-code extractions. This enables fully automated UI modernization pipelines where the AI records, extracts, and commits code without manual intervention.

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