AI Features

Unlock the full potential of Irresistible’s AI assistant to accelerate your development workflow.

Overview

Irresistible’s AI is more than just a code generator. It’s a comprehensive development partner that:

Understands context - Knows your project structure and dependencies
Learns your style - Adapts to your coding patterns
Suggests improvements - Proactively identifies optimization opportunities
Debugs intelligently - Helps solve complex issues
Writes documentation - Generates clear, comprehensive docs

AI Personalities

Choose an AI personality that matches your needs:

👔 Professional

Best for production-ready code with enterprise standards.

"Create a user authentication system with JWT tokens, 
refresh token rotation, and proper error handling"

Characteristics:

Follows best practices strictly
Comprehensive error handling
Detailed comments
Type-safe code
Security-focused

🎨 Creative

Ideal for innovative solutions and modern UI/UX.

"Design a stunning hero section with parallax effects 
and animated gradients"

Characteristics:

Modern design patterns
Creative animations
Cutting-edge features
Experimental approaches
Beautiful aesthetics

🎯 Minimal

Perfect for clean, efficient code without extras.

"Basic CRUD API for products"

Characteristics:

Concise code
No unnecessary features
Direct solutions
Minimal dependencies
Fast implementation

🔬 Experimental

For trying new technologies and approaches.

"Implement a WebGPU-powered visualization component"

Characteristics:

Latest technologies
Beta features
Novel approaches
Performance experiments
Research-oriented

Effective Prompting

Basic Prompts

Component Generation

"Create a SearchBar component with autocomplete"

Function Creation

"Write a function to validate email addresses"

Styling

"Add dark mode support to this component"

Advanced Prompts

Complex Features

"Build a real-time collaborative whiteboard with:
- Drawing tools (pen, shapes, text)
- Multi-user cursors
- Undo/redo functionality
- Export to PNG/SVG
- Responsive design"

Refactoring

"Refactor this component to:
- Use TypeScript
- Add proper error boundaries
- Implement lazy loading
- Optimize re-renders
- Add unit tests"

Architecture

"Design a scalable architecture for a multi-tenant SaaS app with:
- User authentication
- Role-based permissions
- Billing integration
- API rate limiting
- Webhook system"

Prompt Templates

Feature Implementation

"Implement [FEATURE NAME] that:
- [REQUIREMENT 1]
- [REQUIREMENT 2]
- Uses [TECHNOLOGY/LIBRARY]
- Follows [PATTERN/STYLE]
- Includes [ERROR HANDLING/TESTS/DOCS]"

Bug Fixing

"Debug this [COMPONENT/FUNCTION]:
- Issue: [DESCRIBE THE PROBLEM]
- Expected: [EXPECTED BEHAVIOR]
- Current: [CURRENT BEHAVIOR]
- Environment: [BROWSER/NODE VERSION]"

Optimization

"Optimize [COMPONENT/FUNCTION] for:
- [PERFORMANCE/MEMORY/BUNDLE SIZE]
- Current metrics: [CURRENT PERFORMANCE]
- Target: [DESIRED PERFORMANCE]
- Constraints: [ANY LIMITATIONS]"

Context-Aware Features

Project Understanding

The AI automatically understands:

Framework: React, Vue, Svelte, etc.
Dependencies: Installed packages
File structure: Project organization
Coding style: Your preferences
Git history: Recent changes

Smart Suggestions

Import Management

// AI automatically adds necessary imports
import { useState, useEffect } from 'react';
import { fetchUsers } from '@/api/users';
import type { User } from '@/types';

Type Inference

// AI infers types from your codebase
function updateUser(user: User) {
  // AI knows the User type structure
}

Pattern Matching

// AI follows your established patterns
// If you use custom hooks, AI will too
const { data, loading, error } = useAPI('/users');

Code Generation Examples

React Component with Hooks

Prompt: "Create a todo list with local storage persistence"

import React, { useState, useEffect } from 'react';

export default function TodoList() {
  const [todos, setTodos] = useState([]);
  const [input, setInput] = useState('');

  // Load from localStorage on mount
  useEffect(() => {
    const saved = localStorage.getItem('todos');
    if (saved) {
      setTodos(JSON.parse(saved));
    }
  }, []);

  // Save to localStorage on change
  useEffect(() => {
    localStorage.setItem('todos', JSON.stringify(todos));
  }, [todos]);

  const addTodo = (e) => {
    e.preventDefault();
    if (!input.trim()) return;
    
    setTodos([...todos, {
      id: Date.now(),
      text: input,
      completed: false
    }]);
    setInput('');
  };

  const toggleTodo = (id) => {
    setTodos(todos.map(todo =>
      todo.id === id ? { ...todo, completed: !todo.completed } : todo
    ));
  };

  const deleteTodo = (id) => {
    setTodos(todos.filter(todo => todo.id !== id));
  };

  return (
    <div className="todo-container">
      <h2>My Todos</h2>
      <form onSubmit={addTodo}>
        <input
          type="text"
          value={input}
          onChange={(e) => setInput(e.target.value)}
          placeholder="Add a todo..."
        />
        <button type="submit">Add</button>
      </form>
      <ul>
        {todos.map(todo => (
          <li key={todo.id} className={todo.completed ? 'completed' : ''}>
            <input
              type="checkbox"
              checked={todo.completed}
              onChange={() => toggleTodo(todo.id)}
            />
            <span>{todo.text}</span>
            <button onClick={() => deleteTodo(todo.id)}>Delete</button>
          </li>
        ))}
      </ul>
    </div>
  );
}

API Integration

Prompt: "Create a service to handle API calls with error handling and retry logic"

class APIService {
  constructor(baseURL, options = {}) {
    this.baseURL = baseURL;
    this.maxRetries = options.maxRetries || 3;
    this.retryDelay = options.retryDelay || 1000;
    this.timeout = options.timeout || 10000;
  }

  async request(endpoint, options = {}) {
    const url = this.baseURL + endpoint;
    const config = {
      ...options,
      headers: {
        'Content-Type': 'application/json',
        ...options.headers,
      },
      signal: AbortSignal.timeout(this.timeout),
    };

    for (let i = 0; i <= this.maxRetries; i++) {
      try {
        const response = await fetch(url, config);
        
        if (!response.ok) {
          const error = await response.json();
          throw new APIError(response.status, error.message);
        }
        
        return await response.json();
      } catch (error) {
        if (i === this.maxRetries) {
          throw error;
        }
        
        if (error.name === 'AbortError') {
          throw new Error('Request timeout');
        }
        
        // Exponential backoff
        await new Promise(resolve => 
          setTimeout(resolve, this.retryDelay * Math.pow(2, i))
        );
      }
    }
  }

  get(endpoint, options) {
    return this.request(endpoint, { ...options, method: 'GET' });
  }

  post(endpoint, data, options) {
    return this.request(endpoint, {
      ...options,
      method: 'POST',
      body: JSON.stringify(data),
    });
  }

  put(endpoint, data, options) {
    return this.request(endpoint, {
      ...options,
      method: 'PUT',
      body: JSON.stringify(data),
    });
  }

  delete(endpoint, options) {
    return this.request(endpoint, { ...options, method: 'DELETE' });
  }
}

class APIError extends Error {
  constructor(status, message) {
    super(message);
    this.status = status;
    this.name = 'APIError';
  }
}

export default APIService;

AI-Powered Debugging

Error Analysis

Prompt: "Help me debug: TypeError: Cannot read property 'map' of undefined"

The AI will:

Identify the likely cause
Suggest null checks
Provide defensive coding patterns
Show debugging techniques

Performance Optimization

Prompt: "This component re-renders too often, help optimize"

The AI will analyze and suggest:

React.memo usage
useMemo/useCallback hooks
State lifting/lowering
Component splitting

Advanced AI Features

Code Review

Prompt: "Review this code for best practices and potential issues"

The AI will check for:

Security vulnerabilities
Performance issues
Code smells
Accessibility problems
Testing opportunities

Documentation Generation

Prompt: "Generate JSDoc documentation for this module"

/**
 * User authentication service
 * @module services/auth
 */

/**
 * Authenticates a user with email and password
 * @async
 * @param {string} email - User email address
 * @param {string} password - User password
 * @returns {Promise<{user: User, token: string}>} Auth response
 * @throws {AuthError} If authentication fails
 * @example
 * const { user, token } = await authenticate('user@example.com', 'password123');
 */
export async function authenticate(email, password) {
  // Implementation
}

Test Generation

Prompt: "Write unit tests for this component"

The AI generates comprehensive tests:

Unit tests
Integration tests
E2E tests
Edge cases
Mocking strategies

Tips for Maximum Productivity

1. Be Specific

❌ “Make a form” ✅ “Create a contact form with name, email, message fields, validation, and success/error states”

2. Provide Context

❌ “Fix this bug” ✅ “Fix the infinite loop in useEffect when fetching user data on component mount”

3. Iterate Incrementally

Start simple, then refine:

“Create a basic table component”
“Add sorting to the table”
“Add pagination”
“Add search functionality”

4. Use Examples

"Create a chart component similar to Chart.js 
but using D3.js for custom visualizations"

5. Specify Constraints

"Build a file upload component that:
- Limits file size to 5MB
- Only accepts images
- Shows upload progress
- Works on mobile"

AI Limitations

What AI Can’t Do

Access external APIs without credentials
Make subjective design decisions
Understand proprietary business logic
Debug hardware-specific issues
Replace human creativity and intuition

When to Use Human Judgment

Architecture decisions
User experience design
Security implementations
Performance trade-offs
Business logic validation

Next Steps

Try different AI personalities
Practice effective prompting
Explore code generation examples
Learn about deployment with AI