Professional software developers collaborating on AI-generated code review and debugging

Expert Support for AI-Generated Code

Professional debugging, testing, and optimization services for developers working with AI-generated code.

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30+ Years of Software Development Experience

Our team brings over three decades of expertise in designing, developing, architecting, and supporting software systems. We specialize in:

Code Review & Debugging

Thorough analysis of AI-generated code to identify and fix bugs, performance issues, and security vulnerabilities.

Architecture & Design

Expert guidance on software architecture, design patterns, and best practices for scalable solutions.

Enterprise Solutions

From small applications to large enterprise systems, we handle projects of any scale and complexity.

Project Range: Small applications to large enterprise solutions

Specialization: AI-generated code optimization and bug resolution

Common AI Coding Issues We Fix

Our experts regularly encounter and resolve these typical problems in AI-generated code:

šŸ”§ Logic & Algorithm Issues

  • Infinite Loops: AI generates loops without proper exit conditions
  • Off-by-One Errors: Incorrect array indexing and boundary conditions
  • Recursive Stack Overflow: Missing base cases in recursive functions
  • Race Conditions: Threading issues in concurrent code
  • Edge Case Handling: Missing null checks and boundary validations

šŸ›”ļø Security Vulnerabilities

  • SQL Injection: Unparameterized database queries
  • XSS Vulnerabilities: Unescaped user input in web apps
  • Hardcoded Secrets: API keys and passwords in source code
  • Insecure Authentication: Weak password validation and session management
  • CSRF Protection: Missing cross-site request forgery guards

⚔ Performance Problems

  • N+1 Query Problem: Inefficient database access patterns
  • Memory Leaks: Unreleased resources and circular references
  • Inefficient Algorithms: O(n²) when O(n log n) is possible
  • Blocking Operations: Synchronous calls in async environments
  • Large Object Handling: Processing big files without streaming

šŸ—ļø Architecture & Design

  • Tight Coupling: Classes with too many dependencies
  • God Objects: Single classes handling multiple responsibilities
  • Missing Error Handling: No try-catch blocks or error responses
  • Code Duplication: Repeated logic across multiple functions
  • Poor Naming: Unclear variable and function names

Real Case Studies

Case 1: E-commerce Cart Bug

Problem: AI-generated shopping cart allowed negative quantities, leading to revenue loss.

āŒ Before (AI-generated)
function updateQuantity(itemId, quantity) {
    cart[itemId].quantity = quantity;
    calculateTotal();
}
āœ… After (Our Fix)
function updateQuantity(itemId, quantity) {
    if (quantity < 0 || !Number.isInteger(quantity)) {
        throw new Error('Invalid quantity');
    }
    if (!cart[itemId]) {
        throw new Error('Item not found');
    }
    cart[itemId].quantity = Math.max(0, quantity);
    calculateTotal();
}

Result: Prevented negative inventory and improved data integrity.

Case 2: API Authentication Bypass

Problem: AI code had authentication middleware that could be easily bypassed.

āŒ Before (AI-generated)
function authenticate(req, res, next) {
    if (req.headers.authorization) {
        next();
    } else {
        res.status(401).send('Unauthorized');
    }
}
āœ… After (Our Fix)
function authenticate(req, res, next) {
    const token = req.headers.authorization?.split(' ')[1];
    if (!token) {
        return res.status(401).json({ error: 'No token provided' });
    }
    
    jwt.verify(token, process.env.JWT_SECRET, (err, decoded) => {
        if (err) {
            return res.status(403).json({ error: 'Invalid token' });
        }
        req.user = decoded;
        next();
    });
}

Result: Implemented proper JWT validation and prevented unauthorized access.

Case 3: Database Performance Issue

Problem: AI generated code that loaded entire user database for simple searches.

āŒ Before (AI-generated)
async function findUsersByRole(role) {
    const allUsers = await User.findAll();
    return allUsers.filter(user => user.role === role);
}
āœ… After (Our Fix)
async function findUsersByRole(role) {
    return await User.findAll({
        where: { role },
        attributes: ['id', 'name', 'email', 'role'],
        limit: 100
    });
}

Result: 95% reduction in query time and memory usage.

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Email: support@AICodingSupport.com

Response Time: Within 24 hours