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> 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
116 lines
1.8 KiB
Markdown
116 lines
1.8 KiB
Markdown
# AI-HUB-ENTERPRISE Repository Instructions
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## Overview
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AI-HUB-ENTERPRISE is an Enterprise AI Platform built using Zero Trust Architecture, DevSecOps, Cloud Native principles, and Privacy-by-Design.
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## Core Principles
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* Security First
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* Zero Trust
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* Privacy by Design
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* Compliance by Default
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* Infrastructure as Code
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* AI Governance
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* Open Source Best Practices
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## Technology Stack
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* TypeScript
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* JavaScript
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* Python
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* Node.js
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* Express
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* NestJS
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* PostgreSQL
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* Redis
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* Docker
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* Kubernetes
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* Terraform
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* GitHub Actions
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* OpenAI
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* LangChain
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* Qdrant
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* Prometheus
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* Grafana
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## Architecture Standards
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* Microservices
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* API First
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* Event Driven
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* Domain Driven Design
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* Multi Cloud
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* High Availability
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* Observability
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## Security Requirements
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* MFA Required
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* RBAC Required
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* Least Privilege
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* Encryption at Rest
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* Encryption in Transit
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* Audit Logging
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* Secret Scanning
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* Dependency Review
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* SBOM Generation
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## Compliance Requirements
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* PDPA
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* GDPR
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* ISO 27001
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* SOC 2
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* NIST Cybersecurity Framework
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## Development Standards
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* Pull Request Required
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* Branch Protection Enabled
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* CI/CD Validation Required
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* Code Review Required
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* Signed Commits Preferred
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## Branch Strategy
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* main
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* develop
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* security
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* compliance
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* infrastructure
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* docs
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* feature/*
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## Repository Structure
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* apps/
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* packages/
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* infrastructure/
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* security/
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* compliance/
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* docs/
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* tests/
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* legal/
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## AI Agent Instructions
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Always:
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1. Prioritize security.
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2. Follow Zero Trust principles.
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3. Validate dependencies.
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4. Protect personal data.
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5. Generate audit-friendly outputs.
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6. Respect compliance requirements.
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7. Avoid exposing secrets.
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8. Prefer reusable, maintainable code.
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9. Document architecture decisions.
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10. Preserve backward compatibility when possible.
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## Licensing
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Primary License: MIT
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Copyright © Pichai Takengrach
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