head to head · open source
generative-ai-for-beginners vs agents-best-practices
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. agents-best-practices has 2,336 stars, 209 forks, 6 open issues and last shipped 13 days ago. generative-ai-for-beginners leads on adoption by 5,036% (119,980 vs 2,336 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; agents-best-practices is written in various languages under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, agents-best-practices 9%. generative-ai-for-beginners was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (prompt-engineering), so they are genuine substitutes rather than adjacent tools.
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 | agents-best-practices | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 2.3K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | — |
| Last push | 2026-09-17 | 2026-09-05 |
| Forks | ⑂ 63K | ⑂ 209 |
| 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 agents-best-practices if
- You want the agents-best-practices feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and agents-best-practices 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 agents-best-practices
agents best practices is a provider neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses, aimed at practitioners building agents with Codex, Claude Code, or other compatible harnesses.
read the full agents-best-practices overview →
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Frequently asked questions
Is generative-ai-for-beginners or agents-best-practices more popular?
generative-ai-for-beginners has 119,980 GitHub stars and agents-best-practices has 2,336. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and agents-best-practices free?
Both are open source. generative-ai-for-beginners is licensed under MIT and agents-best-practices under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and agents-best-practices?
generative-ai-for-beginners is written in Jupyter Notebook and agents-best-practices 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 agents-best-practices?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose agents-best-practices if its feature set, stack or MIT licence fits better. Both are self-hostable.