AI-Native System Architect is a comprehensive development framework designed to guide developers through the complexities of building modern, agentic systems. It provides a structured, eight-stage workflow that covers system discovery, specialized AI agent classification, API design, technology stack selection, and detailed Kubernetes infrastructure planning. By enforcing principles like agent autonomy and statelessness, this skill ensures that AI applications are scalable, secure, and production-ready from the initial design phase through to final deployment documentation.
主要功能
01Structured 8-stage AI development and deployment workflow
02AI Agent classification framework for orchestrators and tool-users
03Comprehensive API and endpoint design for AI-driven microservices
04Evidence-based technology stack and LLM provider selection
05Detailed Kubernetes manifest planning including RBAC and networking
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