From Cloud Native to AI Native: Why Kubernetes Is the Foundation for Next-Gen AI Agents
Explores why AI Agents need Kubernetes infrastructure and how Agent orchestration, MCP services, and AI gateways enable production-ready AI architectures.
AI Native
Agentic AI Foundation and AI Native Standardization
An analysis of the background, strategic urgency, differences and division of labor between Agentic AI Foundation (AAIF) and CNCF/CNAI, and its significance for the AI Native era.
Bun × Anthropic: Runtime Structural Signal
Bun’s acquisition by Anthropic marks the first time a general-purpose language runtime is integrated into a large model engineering system, revealing a structural trend for AI-native runtimes.
The Second Half of Cloud Native: The Era of AI Native Platform Engineering Has Arrived
A decade of cloud native evolution, a look ahead to AI Native platform engineering, technical layers, and key changes. KubeCon NA 2025 signals a new era.
NotebookLM Usage Experience and Best Practices
Based on months of deep usage, this article analyzes how NotebookLM helps me learn new technologies, read complex documents, generate teaching outlines, and shares future improvement expectations.
What Makes an AI Platform Truly Kubernetes-Native?
Discover what defines a truly Kubernetes-native AI platform, key criteria for conformance, and how standardization drives interoperability and growth in cloud-native AI infrastructure.
The Natural Fit Between AI Inference and Kubernetes
Explore why Kubernetes is the ideal runtime for AI inference — delivering elastic, cost-efficient, low-latency model serving with GPU-aware autoscaling, versioning, and observability.
From Kubernetes to Qwen: How "Open Source" Has Changed in the AI Era
Exploring the transformation of open source in the AI era, from Kubernetes to Qwen, and revealing the fundamental differences and new opportunities in open source strategies between China and the US.
YAML to Markdown: Exploring Specification Driven Development and AI-Native Paradigms
Exploring the evolution from YAML to Markdown, revealing how specification-driven development in the AI-native era reshapes the behavior and collaboration of intelligent agents.