CodeSar AI revolutionizes software development with intelligent code generation, auto-completion, and real-time error detection powered by advanced machine learning.
// AI-generated React component
function UserProfile({ user }) {
return (
<div className="profile-card">
<img src={user.avatar} alt={user.name} />
<h2>{user.name}</h2>
<p>{user.bio}</p>
<div className="stats">
<span>{user.followers} Followers</span>
<span>{user.following} Following</span>
</div>
</div>
);
}
// Auto-generated API call
async function fetchUserData(userId) {
try {
const response = await fetch(`/api/users/${userId}`);
if (!response.ok) throw new Error('User not found');
return await response.json();
} catch (error) {
console.error('Error fetching user:', error);
return null;
}
}
Generate high-quality code snippets, functions, and even complete modules with simple natural language prompts.
Context-aware code suggestions that learn from your coding style and project patterns for faster development.
Identify and fix bugs as you code with advanced static analysis and machine learning-powered suggestions.
Convert code between programming languages with AI-powered translation while maintaining functionality.
Automatically create comprehensive documentation from your codebase with AI analysis of functionality.
Generate complete project structures with best practices for your framework and language of choice.
// AI-generated sorting algorithm with visualization
function bubbleSort(arr) {
let len = arr.length;
let swapped;
do {
swapped = false;
for (let i = 0; i < len - 1; i++) {
if (arr[i] > arr[i + 1]) {
// Swap elements
[arr[i], arr[i + 1]] = [arr[i + 1], arr[i]];
swapped = true;
// Visualize swap
console.log(`Swapped ${arr[i + 1]} and ${arr[i]}:`, [...arr]);
}
}
len--;
} while (swapped);
return arr;
}
// Example usage
const numbers = [5, 3, 8, 4, 2];
console.log('Original array:', numbers);
console.log('Sorted array:', bubbleSort(numbers));
# AI-generated Flask API endpoint
from flask import Flask, request, jsonify
from datetime import datetime
app = Flask(__name__)
@app.route('/api/users', methods=['POST'])
def create_user():
"""Create a new user with validation"""
data = request.get_json()
if not data or 'username' not in data or 'email' not in data:
return jsonify({'error': 'Username and email are required'}), 400
if len(data['username']) < 4:
return jsonify({'error': 'Username must be at least 4 characters'}), 400
if '@' not in data['email']:
return jsonify({'error': 'Invalid email format'}), 400
# In a real app, you would save to database here
user = {
'id': len(users) + 1,
'username': data['username'],
'email': data['email'],
'created_at': datetime.utcnow().isoformat()
}
return jsonify(user), 201
if __name__ == '__main__':
app.run(debug=True)
// AI-generated TypeScript interface and function
interface Product {
id: number;
name: string;
price: number;
category: string;
inStock: boolean;
}
function applyDiscount(products: Product[], discount: number): Product[] {
if (discount <= 0 || discount >= 100) {
throw new Error('Discount must be between 0 and 100');
}
return products.map(product => ({
...product,
price: product.price * (1 - discount / 100),
discounted: true
}));
}
// Example usage
const products: Product[] = [
{ id: 1, name: 'Laptop', price: 999, category: 'Electronics', inStock: true },
{ id: 2, name: 'Desk Chair', price: 199, category: 'Furniture', inStock: false }
];
console.log(applyDiscount(products, 15));
// AI-generated Go HTTP server with middleware
package main
import (
"fmt"
"log"
"net/http"
"time"
)
// Middleware to log requests
func loggingMiddleware(next http.Handler) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
start := time.Now()
next.ServeHTTP(w, r)
log.Printf("%s %s %v", r.Method, r.URL.Path, time.Since(start))
})
}
// Health check handler
func healthHandler(w http.ResponseWriter, r *http.Request) {
w.WriteHeader(http.StatusOK)
fmt.Fprintf(w, `{"status": "ok", "timestamp": "%s"}`, time.Now().Format(time.RFC3339))
}
func main() {
mux := http.NewServeMux()
mux.HandleFunc("/health", healthHandler)
// Wrap with middleware
handler := loggingMiddleware(mux)
log.Println("Server starting on :8080")
log.Fatal(http.ListenAndServe(":8080", handler))
}
Our proprietary models are trained on billions of lines of open-source code across multiple languages and frameworks.
Understands your entire project context to provide relevant suggestions that match your coding style and architecture.
Identifies potential security vulnerabilities and suggests best practices for secure coding.
Works with all major programming languages including JavaScript, Python, Java, C#, Go, Rust and more.
Our models continuously improve as they learn from new code patterns and developer feedback.
Suggests performance improvements and optimizations specific to your codebase.
Flexible pricing options for developers and teams of all sizes.