Add cloud management architecture design reports

[Copilot]

Comprehensive architecture design for AI-driven cloud management platform, analyzing all 128 existing Zod protocols and proposing GitHub/Vercel-native DevOps workflows.

Documents Added

• CLOUD_MANAGEMENT_DESIGN.md (38KB) - Complete Chinese report covering strategic positioning, technical architecture, and 4-phase implementation roadmap
• CLOUD_MANAGEMENT_DESIGN_EN.md (18KB) - English executive summary for international stakeholders
• README.md - Updated architecture documentation section with links to new reports

Key Architecture Proposals

AI-Native Development

• DevOps Agent as first-class citizen for autonomous code generation and deployment
• RAG Pipeline integrating best practices from Salesforce, ServiceNow, Kubernetes
• Natural Language Query (NLQ) for requirement-to-deployment in <1 hour

Cloud Services Integration

• GitHub: Conventional Commits, auto-PR creation, branch protection, GitHub Actions CI/CD
• Vercel: Multi-region edge deployment (9 global nodes), preview environments per PR, zero-downtime releases
• Complete automation: commit → test → deploy → monitor

Protocol Analysis

128 Zod Protocols Categorized:
  AI (13):          agent, devops-agent, rag-pipeline, nlq, plugin-development
  API (13):         contract, registry, graphql, odata, websocket
  Integration (7):  github, vercel, database, saas connectors
  System (34):      manifest, plugin, cache, logging, metrics
  Data (12):        object, field, query, validation, driver
  [+ Auth, Automation, Hub, Permission, QA, UI]

Implementation Roadmap

• Q1 2026: GitHub/Vercel connectors + basic DevOps Agent
• Q2 2026: NLQ + RAG knowledge base + Plugin Development Agent
• Q3 2026: Marketplace launch + official plugin library
• Q4 2026: Enterprise SSO/SAML + private deployment

Technical Highlights

• Microkernel architecture with plugin isolation via service registry
• Multi-tenant data/resource/security isolation strategies
• Global edge deployment with intelligent routing (GeoDNS, latency-based)
• AIOps with anomaly detection, auto-rollback, predictive maintenance
• Cost optimization leveraging free tiers + pay-per-use serverless

Reports provide foundation for building cloud-native enterprise management platform with AI-first development workflows.

Original prompt

你是全球顶级企业管理软件和低代码专家,扫描现有的代码和文档，我要打造全球最新最顶流最受欢迎的企业管理软件平台框架，扫描目前已定义的所有spec zod协议，考虑到ai开发对企业管理软件领域带来的巨大改变，对于传统的开发工具和开发模式等，编写本项目云端管理工具的深度设计报告，主要要充分利用现有的云服务例如github，vercel等。注意只要写报告，不要开发。

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Project	Deployment	Actions	Updated (UTC)
spec	Ready	Preview, Comment	Feb 3, 2026 9:38pm