head to head · open source
generative-ai-for-beginners vs agent-rules-books
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped 2 days ago. agent-rules-books has 2,816 stars, 499 forks, 5 open issues and last shipped 9 days ago. generative-ai-for-beginners leads on adoption by 4,161% (119,980 vs 2,816 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; agent-rules-books is written in various languages under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, agent-rules-books 18%. generative-ai-for-beginners was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| generative-ai-for-beginners | agent-rules-books | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 2.8K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | — |
| Last push | 2026-09-17 | 2026-09-10 |
| Forks | ⑂ 63K | ⑂ 499 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K stars and counting
- You want the MIT license terms
- Your stack matches Jupyter Notebook
- You value the larger contributor base for long-term maintenance
pick agent-rules-books if
- You want the agent-rules-books feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and agent-rules-books fits your workflow better
About generative-ai-for-beginners
Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.
read the full generative-ai-for-beginners overview →
About agent-rules-books
agent rules books is an MIT licensed, tool agnostic collection of AGENTS.md rules and agent skills, distilled from classic software engineering books, that installs into AI coding agents such as Codex, Cursor and Claude Code to steer them toward better refactoring, architecture, domain driven design and code quality.
read the full agent-rules-books overview →
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Frequently asked questions
Is generative-ai-for-beginners or agent-rules-books more popular?
generative-ai-for-beginners has 119,980 GitHub stars and agent-rules-books has 2,816. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and agent-rules-books free?
Both are open source. generative-ai-for-beginners is licensed under MIT and agent-rules-books under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and agent-rules-books?
generative-ai-for-beginners is written in Jupyter Notebook and agent-rules-books in various languages. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, generative-ai-for-beginners or agent-rules-books?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose agent-rules-books if its feature set, stack or MIT licence fits better. Both are self-hostable.