cc-workspace-docs
Personal knowledge base of an SRE and cloud architect with 1,200+ articles on AI engineering, LLM research, and cloud infrastructure, written in Traditional Chinese and browsable as a documentation website.
This repository is a personal knowledge base maintained by an SRE (Site Reliability Engineer) and cloud architect. The content is written primarily in Traditional Chinese and covers AI research, paper analyses, and best practices accumulated over time. It is the public-facing mirror of a private workspace, synced automatically after each working session with personal career records and sensitive configuration excluded.
At the time of the last sync, the collection contained over 1,200 articles across eight categories: 25 deep research reports on topics like AI agent design, token optimization, and memory architecture; 490 summaries of daily AI industry news; 86 analyses of arXiv research papers with key takeaways and implementation notes; 30 best-practice documents covering Claude Code, SRE workflows, and Google Cloud Platform; 114 curated technical article archives; 79 pieces on AI agent harness engineering and benchmarks; 14 notes on Anthropic's official engineering blog posts; and 7 video and podcast transcripts.
The site is built with docsify, a tool that turns a folder of Markdown files into a browsable documentation website without a build step. Hosting is on GitHub Pages, and the sync from the private workspace to this public repository is automated with rsync.
This is not a software library or a tool you install and run. It is a research notebook made public for reference. Readers who follow AI engineering, large language model development, or cloud infrastructure work may find the curated summaries and paper notes useful.
Where it fits
- Browse 86 arXiv paper analyses with implementation notes to get up to speed on recent AI research without reading full papers.
- Use the 25 deep research reports on AI agent design, token optimization, and memory architecture as reference material for your own projects.
- Read best-practice documents covering Claude Code, SRE workflows, and Google Cloud Platform written by a practitioner.