ai-code-validator 0.1.0

Catch AI-generated code mistakes before they cause problems

🤖 AI Code Validator

Catch AI-generated code mistakes before they cause problems.

A CLI tool that analyzes AI-generated code for hallucinations, security vulnerabilities, and outdated patterns. Get a confidence score before you commit!

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🎯 The Problem

66% of developers are frustrated with AI-generated code that's "almost right, but not quite"

45% say debugging AI code is more time-consuming than writing it themselves

20% of AI-generated code suggests non-existent packages (creating "slopsquatting" security risks)

62% of AI code contains security vulnerabilities, even from the latest models

AI Code Validator solves this by automatically detecting:

• 🔍 Hallucinated functions & APIs that don't actually exist
• 📦 Fake dependencies before you pip install or npm install them
• 🔒 Security vulnerabilities like SQL injection, XSS, and command injection
• ⚠️ Missing input validation (AI's #1 mistake)
• 📅 Outdated patterns from old training data
• 🔑 Hardcoded secrets that shouldn't be in code

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⚡ Quick Start

Installation

pip install ai-code-validator

Basic Usage

# Check a single file
aivalidate check myfile.py

# Check entire directory
aivalidate check src/

# Check with JSON output (for CI/CD)
aivalidate check . --format json

# Install git pre-commit hook
aivalidate install-hook

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📊 Example Output

==================================================================
🤖 AI CODE VALIDATOR - RESULTS
==================================================================

Confidence Score: 67/100 (FAIR)
Total Issues: 5
  Critical: 2 | High: 1 | Medium: 1 | Low: 1

Recommendation:
  ⚠️  CRITICAL: Hallucinated dependencies detected! Do NOT install these packages.

==================================================================
🚨 CRITICAL ISSUES (2)
==================================================================

[HALLUCINATED_DEPENDENCY]
  File: app.py:3
  Package "ai-utils-helper" does not exist on PyPI
  💡 Suggestion: AI may have hallucinated this package. This creates a "slopsquatting" security risk.

[SQL_INJECTION]
  File: database.py:45
  Potential SQL injection: String concatenation in SQL query
  💡 Suggestion: Use parameterized queries or prepared statements instead

==================================================================
⚠️  HIGH SEVERITY ISSUES (1)
==================================================================

[MISSING_INPUT_VALIDATION]
  File: api.py:23
  User input without validation detected
  💡 Suggestion: AI often omits input validation. Add validation before using user input.

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✨ Features

🔍 AI Hallucination Detection

• Detects non-existent functions and methods
• Identifies fake API endpoints
• Spots missing call sites and dependencies

📦 Dependency Validation

• Checks if packages exist on PyPI, npm, etc.
• Prevents "slopsquatting" attacks
• Validates imports in real-time

🔒 Security Scanning

• SQL injection detection
• XSS vulnerability checks
• Command injection patterns
• Hardcoded secrets detection
• Missing input validation (AI's most common mistake)

📊 Confidence Scoring

• 0-100 score based on issue severity
• Clear ratings: EXCELLENT → CRITICAL
• Actionable recommendations

🎨 Beautiful Output

• Color-coded severity levels
• Clear issue descriptions
• Helpful suggestions for fixes
• JSON output for CI/CD integration

🔧 Git Integration

• One-command pre-commit hook installation
• Automatic validation on every commit
• Only checks staged files

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🚀 Usage Examples

Basic File Checking

# Single file
aivalidate check app.py

# Multiple files
aivalidate check app.py utils.py models.py

# Entire directory (recursively)
aivalidate check src/

# Current directory
aivalidate check .

Filtering by Severity

# Only critical issues
aivalidate check . --severity critical

# Critical and high only
aivalidate check . --severity high

# All issues (default)
aivalidate check . --severity all

Output Formats

# Human-readable colored output (default)
aivalidate check .

# JSON output for parsing
aivalidate check . --format json

Speed Optimization

# Skip dependency checking (faster, but less thorough)
aivalidate check . --no-deps

Git Integration

# Install pre-commit hook
aivalidate install-hook

# Now runs automatically on git commit!

# To bypass (not recommended):
git commit --no-verify

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🏗️ How It Works

AI Code Validator uses a multi-layer analysis approach:

1. AST Parsing - Analyzes code structure using Abstract Syntax Trees
2. Pattern Matching - Detects common AI hallucination patterns
3. Dependency Verification - Checks package registries (PyPI, npm) in real-time
4. Security Analysis - Scans for OWASP Top 10 vulnerabilities
5. Scoring Algorithm - Calculates confidence score with severity weighting
6. Smart Reporting - Groups and prioritizes issues for quick fixes

Supported Languages

• ✅ Python (.py)
• ✅ JavaScript (.js, .jsx)
• ✅ TypeScript (.ts, .tsx)
• ✅ Java (.java)
• ✅ Kotlin (.kt)
• 🚧 More coming soon!

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🔗 CI/CD Integration

GitHub Actions

name: AI Code Validation

on: [push, pull_request]

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
        with:
          python-version: '3.9'
      - name: Install AI Code Validator
        run: pip install ai-code-validator
      - name: Run validation
        run: aivalidate check . --format json --severity high

GitLab CI

ai-validation:
  image: python:3.9
  script:
    - pip install ai-code-validator
    - aivalidate check . --format json --severity high

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🤝 Contributing

Contributions are welcome! Here's how you can help:

1. Report bugs - Open an issue describing the problem
2. Suggest features - What would make this tool more useful?
3. Add language support - Help us support more languages
4. Improve detection - Add more AI hallucination patterns
5. Write documentation - Help others use the tool

Development Setup

# Clone the repository
git clone https://github.com/ashishmahawal/ai-code-validator.git
cd ai-code-validator

# Initialize development environment (installs deps + pre-commit hooks)
make init

# Or manually:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements-dev.txt
pip install -e .
pre-commit install

# Run tests
make test
# or: pytest tests/

# Run tests with coverage
make test-cov

# Run linters
make lint

# Format code
make format

See CONTRIBUTING.md for detailed contribution guidelines.

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📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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⭐ Support

If this tool saved you from debugging AI-generated code, give it a star! ⭐

It helps others discover the project and motivates continued development.

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🙏 Acknowledgments

Built based on research into AI code generation issues:

• METR Study on AI Developer Productivity
• Endor Labs Security Research
• CSET Georgetown Cybersecurity Research

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📚 Learn More

• Research: Why do AI tools generate buggy code? Read our blog post
• Best Practices: Using AI Coding Tools Safely
• FAQ: Frequently Asked Questions

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Made with ❤️ by developers frustrated with AI hallucinations

Don't let AI fool you. Validate before you commit!