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aicodecheck

v0.0.1

Published

AI Code Compliance Checker — Verify AI/ML code against best practices and regulatory standards

Readme

AI Code Check

AI Code Compliance Checker — Coming Soon

A developer toolkit to verify AI/ML code against best practices, security standards, and regulatory compliance.


What This Package Is

AI Code Check is an upcoming utility package designed to help developers:

  • Lint AI/ML code for compliance issues before deployment
  • Detect risky patterns in model training and inference code
  • Validate data handling against privacy regulations
  • Check for bias-prone code patterns in ML pipelines
  • Enforce AI coding standards across teams

This package is being developed by Haiec as part of a broader AI governance infrastructure.


Why This Namespace Exists

The aicodecheck namespace is reserved to provide developers with a simple, memorable command for AI code compliance. Think of it as ESLint for AI/ML code.

This package will provide:

  • Static analysis rules for AI/ML code
  • Pre-commit hooks for compliance gates
  • CI/CD integration for automated checks
  • Configurable rule sets (strict, moderate, minimal)
  • Framework-specific rules (PyTorch, TensorFlow, scikit-learn)

Installation

npm install aicodecheck

Placeholder Example

const aicodecheck = require('aicodecheck');

// Check package status
console.log(aicodecheck.version);  // '0.0.1'
console.log(aicodecheck.status);   // 'placeholder'

// Run compliance check (placeholder)
const result = aicodecheck.check('your-ai-code-here');
console.log(result.message);

Roadmap

  • [ ] Core static analysis engine
  • [ ] Bias-prone pattern detection
  • [ ] Data leakage detection
  • [ ] Privacy compliance rules (GDPR, CCPA)
  • [ ] Model serialization security checks
  • [ ] Pre-commit hook integration
  • [ ] VS Code extension
  • [ ] GitHub Action

License

MIT © 2025 Haiec


Contact

For early access or partnership inquiries, reach out to the Haiec team.