AI Code Review

AI Code Audit
Professional Review of AI-Generated Code

Name: Control Shift
Address: Dubai, Dubai, AE
Telephone: +971 54 483 2290
Price range: 5000

AI writes code fast. But does it write code safely? We audit AI-generated code from GitHub Copilot, Cursor, Tabnine, CodeWhisperer, AI pair programming, and any AI-assisted workflow. Security, quality, licensing, and architecture — reviewed by senior engineers.

Get My AI Code Audited

Vibe-Coded App Audit

Also available: Vibe-coded app audit, vibe-coded app rescue, and AI-to-production engineering.

Get a Professional AI Code Review

Tell us which tools generated your code. We reply with a plan and timeline.

Why AI Code Needs Review

AI coding tools generate remarkably functional code in seconds. GitHub Copilot completes entire functions. Cursor writes full modules. Tabnine suggests production-quality patterns. But speed does not equal safety.

AI-generated code consistently introduces patterns that experienced developers would catch during code review — hallucinated APIs that do not exist, outdated library calls, subtle security gaps, and licensing risks that are invisible to non-experts. Without a structured review, these issues ship to production.

Our AI code audit gives you the confidence that AI-assisted code meets the same standards as human-written code — or better.

73% of AI-generated code samples contain at least one security vulnerability

AI models hallucinate APIs and libraries that do not exist or are deprecated

AI-generated code can inadvertently replicate GPL-licensed patterns, creating legal risk

AI code often lacks the defensive programming patterns that prevent production incidents

Generated code tends toward monolithic patterns that become technical debt at scale

Code review by experienced engineers catches issues that automated scanners miss

Audit Scope

What We Review

Six comprehensive categories covering every dimension of AI-generated code quality.

Code Quality

Readability and naming consistency
Code duplication and redundancy
Adherence to language idioms and style guides
Function complexity and cyclomatic analysis
Documentation completeness

Security

SQL injection and XSS vulnerabilities
Authentication and authorization flaws
Exposed API keys and secrets
Insecure data handling patterns
Input validation and sanitization gaps

Maintainability

Technical debt assessment
Dependency health and version risks
Coupling and cohesion analysis
Refactoring priority roadmap
Testability of generated code

AI-Specific Issues

Hallucinated API endpoints and methods
Incorrect library usage patterns
Outdated or deprecated function calls
Logic errors in algorithm generation
Overconfident error handling

Compliance & Licensing

Open-source license conflict detection
GPL/MIT/Apache compliance review
Copilot licensing obligation analysis
Third-party dependency license audit
Regulatory compliance alignment

Architecture

Scalability of generated patterns
Separation of concerns evaluation
API design consistency
Database schema and query patterns
Error handling and resilience

Who Needs This

Who Needs an AI Code Audit

If AI tools touch your code, a structured review protects your business.

Enterprise Teams with Copilot

Your engineering org adopted GitHub Copilot or CodeWhisperer. Hundreds of developers are using AI daily. You need confidence that the AI-generated code meets your quality and security standards.

Development Agencies

You are building client projects with AI assistance and need to ensure the code you deliver meets professional standards. Protect your reputation and your clients.

Startup Founders Using AI Tools

You built your MVP with Cursor, Copilot, or other AI tools. Before you raise your next round or scale to real users, you need an expert review of what AI actually wrote.

Open-Source Maintainers

Contributors are submitting AI-generated code to your project. You need a structured review process to maintain code quality, licensing compliance, and contributor standards.

Pricing

AI Code Audit Pricing

Transparent pricing. No surprises. Delivered in business days, not weeks.

Standard

AED 2,500/ $679

Up to 25,000 Lines of Code

Full six-category audit report
Security vulnerability analysis
AI-specific issue detection
Licensing and compliance review
Prioritized remediation roadmap
5 business day delivery

Get Standard Audit

Popular

Enterprise

AED 6,000/ $1,629

Full Codebase + Executive Summary

Everything in Standard
Multi-repository coverage
Executive summary for leadership
Architecture review and recommendations
Team-specific best practices guide
10 business day delivery
Follow-up Q&A session

Get Enterprise Audit

Knowledge Base

Frequently Asked Questions

FAQ

Common Questions

We audit code from any AI coding tool — GitHub Copilot, Cursor, Tabnine, Amazon CodeWhisperer, AI pair programming sessions, Lovable, Bolt, Replit, Claude Code, ChatGPT code generation, and any other AI-assisted development workflow. If AI touched the code, we review it.

A vibe-coded app audit focuses specifically on apps built entirely by AI no-code tools like Lovable or Bolt. Our AI code audit is broader — it covers AI-generated code within professional codebases. Think: Copilot suggestions in a React app, Cursor-generated modules in a Node.js backend, or AI-written functions in a Python data pipeline.

We review six categories: code quality (readability, duplication, patterns), security vulnerabilities (injection, auth flaws, exposed secrets), maintainability (documentation, complexity, tech debt), AI-specific issues (hallucinated APIs, wrong patterns, hallucinated dependencies), compliance and licensing (open-source license violations, Copilot licensing risks), and architecture (scalability, separation of concerns, coupling).

AI-generated code can introduce licensing risks. Copilot and similar tools are trained on open-source repositories, and there is ongoing legal debate about whether AI-generated code that resembles GPL-licensed projects creates derivative work obligations. We audit for potential license conflicts so you can use AI-generated code with confidence.

A standard audit covering up to 25,000 lines of AI-generated or AI-assisted code is delivered within 5 business days. Enterprise audits covering multiple repositories, larger codebases, or compliance reviews are completed within 10 business days with a detailed executive summary.

Our AI code audit is a review and advisory engagement — you receive a comprehensive report with prioritized findings and actionable recommendations. If you want us to fix the issues, we offer implementation as a follow-up engagement. Many clients start with an audit and then engage us for production engineering.

Your AI code audit might reveal issues that need fixing. Our vibe-coded app rescue handles emergency fixes and architecture cleanup. For a deeper look at apps built entirely with AI tools, try our vibe-coded app audit. Once your code is production-ready, our AI-to-production engineering team takes it the rest of the way.

AI Software Engineering