mirror of
https://github.com/actions/checkout.git
synced 2026-06-17 20:25:56 +00:00
> https://github.com/PichaiTK/checkout > https://github.com/<your-username>/checkout > git remote add upstream https://github.com/PichaiTK/checkout.git git fetch upstream > git checkout main > git pull upstream main * 233528480+PichaiTK@users.noreply.github.com #2454 fork PichaiTK/checkout
1.8 KiB
1.8 KiB
AI-HUB-ENTERPRISE Repository Instructions
Overview
AI-HUB-ENTERPRISE is an Enterprise AI Platform built using Zero Trust Architecture, DevSecOps, Cloud Native principles, and Privacy-by-Design.
Core Principles
- Security First
- Zero Trust
- Privacy by Design
- Compliance by Default
- Infrastructure as Code
- AI Governance
- Open Source Best Practices
Technology Stack
- TypeScript
- JavaScript
- Python
- Node.js
- Express
- NestJS
- PostgreSQL
- Redis
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- OpenAI
- LangChain
- Qdrant
- Prometheus
- Grafana
Architecture Standards
- Microservices
- API First
- Event Driven
- Domain Driven Design
- Multi Cloud
- High Availability
- Observability
Security Requirements
- MFA Required
- RBAC Required
- Least Privilege
- Encryption at Rest
- Encryption in Transit
- Audit Logging
- Secret Scanning
- Dependency Review
- SBOM Generation
Compliance Requirements
- PDPA
- GDPR
- ISO 27001
- SOC 2
- NIST Cybersecurity Framework
Development Standards
- Pull Request Required
- Branch Protection Enabled
- CI/CD Validation Required
- Code Review Required
- Signed Commits Preferred
Branch Strategy
- main
- develop
- security
- compliance
- infrastructure
- docs
- feature/*
Repository Structure
- apps/
- packages/
- infrastructure/
- security/
- compliance/
- docs/
- tests/
- legal/
AI Agent Instructions
Always:
- Prioritize security.
- Follow Zero Trust principles.
- Validate dependencies.
- Protect personal data.
- Generate audit-friendly outputs.
- Respect compliance requirements.
- Avoid exposing secrets.
- Prefer reusable, maintainable code.
- Document architecture decisions.
- Preserve backward compatibility when possible.
Licensing
Primary License: MIT
Copyright © Pichai Takengrach