# wanghao-SunSky/cs329z-chinese > Chinese study guide for Stanford CS329Z Engineering AI Agents: 19 lessons and 4 hands-on exercises covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation and safety, with Markdown sources and an offline HTML reader. - Magnitude: 6.7 out of 10 — Early signal - Stars: 313 total · +101 stars measured 2026-11-01, 00:02–12:24 UTC, ≈ 193 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: HTML · Created: 2026-10-28 · Last push: 2026-10-31 - GitHub: https://github.com/wanghao-SunSky/cs329z-chinese · Homepage: https://cs329z-course-review-20261029.wanghao162263.chatgpt.site · Page: https://gitnova.dev/en/r/wanghao-SunSky/cs329z-chinese ## Useful for - Study the 19-lesson Chinese course on building AI agents - Practice agent development with the 4 hands-on exercises - Read the offline HTML version without an internet connection ## Why it’s here - Star-counter measurements on 2026-11-01 (UTC), 00:02–12:24: 212 → 313 stars (+101). This is the change over that interval. - Estimated end-of-day forecast: about +193 stars, using observed gains and the previous day. - The repository is 4 days old and already has 313 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #73. - About 34 forks a day — people are taking the code. - Recent forks include notable developers: @ccckmit (678 followers), @codeyu (201 followers). ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 33 - Issues and pull requests: 0 - Watchers: 2 - Average over the last week: 96 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 8 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-28 … 2026-11-01: 0, 8, 83, 195, 101 ## Magnitude by day, last 2 days 10-31 5.2, 11-01 6.8 ## Spotted in now - Top new repositories this week: #73 ## More in this category 1. **patchy631/ai-engineering-hub** — 7.6 · Breakout · Learning & lists · Jupyter Notebook · +86 stars measured 2026-11-01, 11:01–12:24 UTC, ≈ 353 by evening A collection of 90+ tutorial projects on LLMs, RAG and AI agents, ranging from simple OCR apps to production systems with MCP and multi-agent workflows. Full card: https://gitnova.dev/en/r/patchy631/ai-engineering-hub.md 2. **bregman-arie/devops-exercises** — 7.3 · Breakout · Learning & lists · Python · +288 stars measured 2026-11-01, 00:02–12:24 UTC, ≈ 571 by evening A collection of over 2600 questions and exercises on DevOps, SRE and related topics: Linux, networking, Kubernetes, cloud, CI/CD, databases and more. Intended for interview preparation and knowledge checks. Full card: https://gitnova.dev/en/r/bregman-arie/devops-exercises.md 3. **nathanliow/atlas-of-physics** — 5.4 · Early signal · Learning & lists · JavaScript · +53 stars measured 2026-11-01, 00:02–12:24 UTC, ≈ 100 by evening An interactive 3D textbook for AP Physics 1 and AP Physics C: each chapter is one motion drawn in 3D like a textbook diagram, with vectors, graphs and click-to-break-down parts. Full card: https://gitnova.dev/en/r/nathanliow/atlas-of-physics.md 4. **ywEdAi/teachable-figures** — 5.2 · Early signal · Learning & lists · JavaScript · +2 stars measured 2026-11-01, 11:01–12:24 UTC, ≈ 38 by evening An agent skill that turns a lesson claim into an interactive figure where learners predict, change a cause, and explain the effect. Ships with rendering kits, reviewed examples, and browser checks. Full card: https://gitnova.dev/en/r/ywEdAi/teachable-figures.md 5. **DeanChensj/jiangshan-map** — 5.0 · Breakout · Learning & lists · JavaScript · +410 stars measured 2026-11-01, 00:03–12:24 UTC, ≈ 694 by evening An interactive historical atlas of China from 403 BCE to the present, with 18 dynasties, 164 territory snapshots, place-name genealogy, and poetry routes, designed for history and classical poetry enthusiasts. Full card: https://gitnova.dev/en/r/DeanChensj/jiangshan-map.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-11-01 12:34 UTC, updated every 30 minutes.