Building systems, not just features.
AI-Native Engineer · Context Engineering Practitioner · Content Creator
Hybrid Cloud Orchestration
Building next-gen multi-cloud management systems with Terraform/IaC, K8s Operators (Go/Kubebuilder), serving enterprise across major cloud providers (AWS/GCP/Azure/Alibaba/Tencent)
Context Engineering in Practice
Systematically applying "Human defines boundaries, AI fills details" methodology. Daily pair programming with Claude Code + TDD workflow.
Featured Article: 上下文工程:AI-Native 研发的方法论 — 90K+ reads
Current:
- Kubernetes Operators (Go + Kubebuilder + CRD)
- Terraform / HCL / Infrastructure as Code
- Multi-Cloud Architecture & Orchestration
- AI Toolchain: Claude Code, Codex, Cursor, Antigravity, TDD-driven development
Backend Foundation:
- Java (Spring Boot) / Go / Python
- MySQL / Redis / ClickHouse
Previous Experience: Dell EMC · SAP · Kuaishou · Xiaohongshu
Research Background:
NLP (Text2SQL) → Now applying AI/LLM to software engineering
context engineering > prompt engineering
human = decision + review + boundary control
AI = execution + generation + acceleration
minimum necessity principle for architecture
Three Long-term Projects:
- Body: Fitness optimization, systematic tracking
- System: Knowledge base, reusable frameworks ("Rainman Protocol")
- Content: Building the Deusyu/Rainman universe
Blog: deusyu.app
Email: rainman@deusyu.app
"Human defines boundaries, AI fills details."


