A Chinese interview prep book for AI jobs, open-sourced on GitHub

What it does

This is a Chinese-language knowledge base for interviewing into AIGC algorithm and engineering roles. It collects resume templates, company-specific intelligence, salary data, and topic guides across diffusion models, LLM fundamentals, AI agents, multimodal systems, computer vision, NLP, and traditional deep learning. A separate track covers software engineering interviews in Python, C/C++, Java, Go, and embedded systems.

The interesting bit

The content is explicitly framed as drawn from actual work experience, competition wins, and real interview loops at major Chinese tech firms and AI unicorns. The maintainers include engineers currently working at top security companies, financial institutions, and research institutes — not career coaches. There’s even a section on “company secrets” (公司辛秘), which suggests genuine insider texture rather than sanitized LeetCode patterns.

Key highlights

• Covers both algorithm and development tracks, with sub-guides for deployment, math/physics fundamentals, and data structures
• Maintained by a named collective of ~10 contributors with verifiable industry backgrounds (CVPR/AAAI/Kaggle winners, published researchers)
• Includes “high-frequency big-company interview questions” marked as real-time updated
• Explicitly welcomes PRs for interview experiences, job postings, and referrals
• Tied to a paid community (AIGCmagic) via WeChat and Zhihu, but the core repo appears free

Caveats

• Entirely Chinese-language; no English translation visible
• Heavy promotional integration for the paid “knowledge planet” community (149 RMB/year)
• The “real-time updated” claim is aspirational; actual update cadence is unclear from the README

Verdict

Worth bookmarking if you’re interviewing for AI roles in China’s tech ecosystem and read Chinese fluently. For English-speaking developers or those outside the Chinese hiring market, the structural approach is interesting but the specific content will be largely inaccessible.