Developers & CodingUpdated October 2026

React Component Refactoring & Unit Test Generation

Turn bloated, legacy React components with tangled state into modular, accessible, and high-performance components backed by a production-ready test suite.

Target Users: Frontend Engineers, QA Automation Engineers, and Code Reviewers
Supported Workflow: Component refactoring, test suite backfilling, and accessibility (a11y) improvements
Interactive Prompt Builder

Customize & Generate Your Prompt

Adjust the variables below. Your customized prompt updates live in real-time ready to copy with zero setup.

Input Variables (4)runs 100% locally
System / Role Prompt
You are a senior React architect and testing engineer specializing in React 19, Vitest, Testing Library, and WCAG accessibility standards. You produce clean, modular code with realistic test assertions.
Assembled User Prompt (Live Preview)2201 chars
Please review, refactor, and generate comprehensive unit tests for this React component.

### Component Details
- **Component Name**: UserProfileCard
- **Target Test Runner & Library**: Vitest + React Testing Library
- **Primary Refactoring Priority**: Clean Architecture & Custom Hook Extraction

### Current Component Code
```tsx
import React, { useState, useEffect } from 'react';

export function UserProfileCard({ userId }) {
  const [user, setUser] = useState(null);
  const [loading, setLoading] = useState(true);
  const [editing, setEditing] = useState(false);
  const [name, setName] = useState('');

  useEffect(() => {
    fetch('/api/users/' + userId)
      .then(res => res.json())
      .then(data => {
        setUser(data);
        setName(data.name);
        setLoading(false);
      });
  }, [userId]);

  if (loading) return <div>Loading...</div>;

  return (
    <div className="card">
      {editing ? (
        <input value={name} onChange={e => setName(e.target.value)} />
      ) : (
        <h3>{user.name}</h3>
      )}
      <button onClick={() => setEditing(!editing)}>
        {editing ? 'Save' : 'Edit'}
      </button>
    </div>
  );
}
```

### Instructions for Refactoring
1. **Architecture & Decomposition**:
   - Extract stateful business logic into a custom hook or pure helper functions if appropriate.
   - Eliminate unnecessary re-renders, duplicate state derivations, and risky `useEffect` triggers.
2. **Accessibility & Semantics**:
   - Ensure semantic HTML, appropriate `aria-*` attributes, keyboard navigation (Enter, Space, Escape, Tab), and visible focus indicators.
3. **TypeScript Typing**:
   - Provide explicit interfaces for all props, event handlers, and data structures. Avoid implicit any.

### Instructions for Test Generation
1. Write a complete, copy-ready test file using **Vitest + React Testing Library**.
2. Cover:
   - Happy path rendering with default props.
   - User interactions (clicking, keyboard accessibility, typing).
   - Loading states, empty states, and error handling.
   - Asynchronous updates and cleanup.
3. Use accessible Testing Library query selectors (e.g., `getByRole`, `getByLabelText`) over test IDs or CSS classes.

How to Use & Customize This Prompt

Step 1: Customize Inputs

Fill in your target framework, environment rules, or source metrics in the interactive builder above. The assembled template updates instantly.

Step 2: Copy Assembled Prompt

Click "Copy Prompt to Clipboard". You can copy the full assembled text or copy system instructions separately.

Step 3: Select Recommended AI Model

Refer to the Model Guidance below to choose the highest-performing frontier model or local runtime for this specific task.

Step 4: Execute & Verify Output

Paste into your AI coding tool, chat interface, or local Ollama runtime. Verify syntax, types, and schema compliance against expected output.

Workflow Guidance

  • Paste your existing React component and choose your testing framework (Vitest or Jest).
  • Select your primary priority (such as custom hook extraction, accessibility, or performance).
  • Copy the output to get both the cleanly refactored component and the companion test file.

Representative AI Output

Sample output produced when using frontier AI models with the default parameters:

### Refactored Component
```tsx
import React, { useState } from 'react';
import { useUserProfile } from './useUserProfile';

export interface UserProfileCardProps {
  userId: string;
  onSave?: (newName: string) => Promise<void>;
}

export const UserProfileCard: React.FC<UserProfileCardProps> = ({ userId, onSave }) => {
  const { user, isLoading, error } = useUserProfile(userId);
  const [isEditing, setIsEditing] = useState(false);
  const [draftName, setDraftName] = useState('');

  // Accessible, clean rendering with loading & error boundaries...
};
```

### Vitest Unit Test File
```tsx
import { render, screen } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import { describe, it, expect, vi } from 'vitest';
import { UserProfileCard } from './UserProfileCard';

describe('UserProfileCard', () => {
  it('renders loading state initially', () => {
    render(<UserProfileCard userId="123" />);
    expect(screen.getByRole('status')).toHaveTextContent(/loading/i);
  });
});
```

Pro Optimization & Edge-Case Tips

  • Prioritize `screen.getByRole` and `screen.getByLabelText` to simulate how real users and assistive technology interact with your UI.
  • Extract data fetching into custom hooks or TanStack Query queries so your UI components remain pure presentational views.
  • Use `userEvent.setup()` for realistic browser interaction simulations instead of legacy `fireEvent`.
Recommended AI Models

Recommended AI Models for Coding & Full-Stack Engineering

Frontier models tested against Next.js 15, TypeScript 5.6, Supabase, and automated unit test generation.

Claude 3.5 Sonnet

Top Pick for Architecture & Refactoring

Deep codebase reasoning, complex Next.js App Router rules, and full test suites without omissions.

Key Strengths
  • Unrivaled understanding of modern React 19 / Next.js Server Components
  • Strict compliance with system instructions without skipping edge-case checks
  • Generates syntactically complete Vitest and RTL mocks
Pro Tip: Paste prompt as Project Instructions or Artifact System Prompt for strict adherence.

OpenAI GPT-4o

High Speed & Tool Calling

Rapid iterative debugging, Supabase function logging, and strict JSON output schemas.

Key Strengths
  • Sub-second first-token latency for fast dev loops
  • Excellent function-calling and schema validation reliability
  • Accurate regex generation and API endpoint routing
Pro Tip: Enable Structured Outputs mode when parsing raw terminal logs or compiler errors.

DeepSeek-Coder V2

Open Weights & Cost Efficiency

Local inference and budget-friendly batch refactoring across large file trees.

Key Strengths
  • 236B MoE architecture competitive with proprietary frontier models
  • Strong 128K context window for multi-file dependency trees
  • Available via Ollama and vLLM for self-hosted private workflows
Pro Tip: Use temperature 0.1 to maximize deterministic code output and minimize syntax drift.
Test Prompts in SPAUL AI Studio

Copy your assembled prompt and test immediately with approved frontier models or your own API key.

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