AI-Native Infrastructure · Agentic Runtime · Developer Advocate · CNCF Ambassador

I work on how AI systems run in production.

My focus is not models, but the infrastructure, runtime, and engineering discipline required to make LLM and agent systems reliable, observable, and evolvable over time.

• AI-Native Infrastructure Runtime abstractions, resource scheduling, isolation, cost and lifecycle management for AI workloads.
• Agentic & RAG Systems Retrieval-augmented architectures, stateful agents, evaluation and observability of long-running AI systems.
• Engineering Methodology Turning AI from demos into systems: clear boundaries, verifiable pipelines, and repeatable delivery patterns.
• Open Source & Ecosystems Developer platforms, community-driven infrastructure, and sustainable open-source governance.

• 12+ years in cloud-native and platform engineering
• CNCF Ambassador, long-term contributor in the Kubernetes / service mesh ecosystem
• Former Developer Advocate at Tetrate
• Founder of Cloud Native Community (China)

• Author of AI Handbook (AI-native infrastructure & agentic runtime)
• Long-term technical writing at https://jimmysong.io

• Languages: Go, Python, TypeScript
• Platforms: Kubernetes-centric infrastructure, distributed systems
• AI Systems: RAG pipelines, agent runtime design, system observability

• Website: https://jimmysong.io
• GitHub: https://github.com/rootsongjc
• LinkedIn: https://linkedin.com/in/jimmysongio
• X: https://x.com/jimmysongio