Build efficient AI native infrastructure and agent runtimes
Architecture semantics and engineering methods for next-generation systems
Featured Articles
Deep insights on AI × cloud native, from technical practices to industry perspectives.
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. …
AI Resource Library Update: 500+ Projects, New Scoring & Display Enhancements
Discover the latest updates to our AI Resource Library, featuring 500+ projects, enhanced filtering, and a new scoring …
Evolution and Value of Developer Relations: From Personal Practice to DevRel Foundation
Explore the evolution and significance of Developer Relations, highlighting its impact on business value and community …
Core Technology Domains
Three domains working together to support the architectural foundation and engineering capabilities of AI native systems.
AI Native
Restructure application architecture with large language models at the core, encompassing inference, RAG, and intelligent agent collaboration engineering systems.
Cloud Native
Leverage cloud-native infrastructure to achieve efficiency, scalability, and automated operations, supporting continuous delivery and rapid iteration.
Open Source
Drive technology sharing and evolution through open-source collaboration, building verifiable and extensible infrastructure and ecosystem components.
About Jimmy Song
Jimmy Song is a Developer Advocate focused on AI Native infrastructure and agentic runtime, founder of ArkSphere AI Native Community , and CNCF Ambassador . He is committed to deeply integrating large language models with cloud-native infrastructure, with a focus on inference runtime, platform engineering, and system governance, driving the engineering implementation and sustainable evolution of AI systems in production environments. He has worked at Tetrate , Ant Group , TalkingData , and iFLYTEK , among others, with practical experience across cloud-native and AI engineering.
