aicodecheck
v0.0.1
Published
AI Code Compliance Checker — Verify AI/ML code against best practices and regulatory standards
Maintainers
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 aicodecheckPlaceholder 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.
