ENGINEERING NOTEBOOK REV. 2026

Systems & Craft

AI products run on solid engineering foundations. These are the infrastructure field notes of Xinwei Xiong (cubxxw): Kubernetes and cloud native, Go engineering, DevOps, and open-source practice — an engineering system distilled from years of building projects like OpenIM.

38 ARTICLES / K8S 12 / GO 5 / DEVOPS 6 / OSS 11 RSS ↗

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FAQ

What does this section cover?

Four modules — Kubernetes and cloud native (control-plane internals, CNI/CSI/CRI, GitOps, cluster deployment), Go engineering (concurrency, cross-platform builds, release toolchains), DevOps practice (CI/CD, test automation, registries), and open-source engineering (contribution guides, community collaboration, open-source business models).

Why does an AI blog have an engineering section?

AI products run on solid engineering foundations. The author, Xinwei Xiong (cubxxw), spent years building cloud-native and open-source infrastructure (including the engineering systems behind OpenIM) — the same capabilities that now underpin building production-grade AI agent systems.

Is there Kubernetes source-level content?

Yes. Control-plane components are examined one by one — kube-apiserver architecture, etcd, kubectl, the scheduler — plus deep dives into the CNI/CRI/CSI interfaces and GitOps deployment strategies.

Where should I start reading?

The page is organized into four modules, each listing representative articles with a link to the matching tag page for the full list. For cloud native, start with the Kubernetes quick-start article, then go deeper into the control-plane components.