# 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.

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## 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](https://haiec.com) as part of a broader AI governance infrastructure.

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## 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)

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## Installation

```bash
npm install aicodecheck
```

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## Placeholder Example

```javascript
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);
```

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## 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

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## License

MIT © 2025 Haiec

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## Contact

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