Back to directory

Agent Interview Hub

A Chinese-language interview-preparation guide for AI Agent engineering roles at large Chinese technology companies, with hundreds of questions and answers, company-specific material and a study roadmap.

Agent Interview Hub

Agent Interview Hub is a curated interview-preparation repository for engineers applying to AI Agent roles at large Chinese technology companies such as Alibaba, ByteDance and Tencent. It collects more than 300 interview questions with reference answers, material for 15 categories of companies and roles including Anthropic, six timed practical exercises, and 35 general knowledge documents.

Topics covered include agent design patterns such as ReAct and Plan-and-Execute, agent framework comparisons including LangChain, AutoGen and CrewAI, retrieval-augmented generation, context engineering, tool use and function calling, the Model Context Protocol, and coding-agent harnesses such as Claude Code and Codex CLI.

The material also includes a 16-week study roadmap from fundamentals to job offer, and can be browsed online through GitHub Pages.

More in Tutorials

See all 478
  • BootLife

    github.com

    Conway's Game of Life implemented to run directly from a 512-byte x86 boot sector in assembly, using VGA memory itself as the simulation grid.

  • A technical blog post deriving the Y combinator as a composition of combinator birds in an array language, and examining how eager evaluation changes fixed-point recursion compared with the usual lazy telling.

  • System Design Atlas

    atlas-sysdes.vercel.app

    A free reference of worked system design problems with interactive architecture diagrams, covering ranked designs such as a feed, a chat app, a URL shortener, and a rate limiter, plus pages on the technologies behind them.