head to head · open source
generative-ai-for-beginners vs agent-rules-books
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. agent-rules-books has 3,170 stars, 552 forks, 5 open issues and last shipped 2 months ago. generative-ai-for-beginners leads on adoption by 3,775% (122,853 vs 3,170 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 54% as many forks as stars, agent-rules-books 17%. 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 | ★ 123K | ★ 3.2K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | — |
| Last push | 2026-11-02 | 2026-09-10 |
| Forks | ⑂ 66K | ⑂ 552 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 123K 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
21 Lessons teaching everything you need to know to start building Generative AI applications 🌐 Multi Language Support Supported via GitHub Action (Automated & Always Up to Date) Arabic Bengali Bulgarian Burmese (Myanmar) Chinese (Simplified) Chinese (Traditional, Hong Kong) Chinese (Traditional, Macau) Chinese (Traditional, Taiwan) Croatian Czech Danish Dutch Estonian Finnish French German Greek Hebrew Hindi Hungarian Indonesian Italian Japanese Kannada Khmer Korean Lithuanian Malay Malayalam Marathi Nepali Nigerian Pidgin Norwegian Persian (Farsi) Polish Portuguese (Brazil) Portuguese (Portugal) Punjabi…
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About agent-rules-books
AI agents Rules / Skills from Programming Books v0.6 AGENTS.md rules / skills for Codex , Cursor , Claude Code , distilled from classic software engineering books about refactoring, architecture, DDD and code quality. About · Installation · Rules / Skills · Books List · Usage · Books Compatibility About MIT licensed universal project rules for coding agents. This repository contains ready to use rule sets inspired by well known books on software design, architecture, refactoring, legacy code, reliability, and data intensive systems. For editor specific setup in Codex, Claude Code, and Cursor, see USAGE.md. It…
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Frequently asked questions
Is generative-ai-for-beginners or agent-rules-books more popular?
generative-ai-for-beginners has 122,853 GitHub stars and agent-rules-books has 3,170. 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 (122,853 stars) or its MIT licence terms. Choose agent-rules-books if its feature set, stack or MIT licence fits better. Both are self-hostable.