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🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.Description from GitHub
A long-running reference covering prompting techniques, context engineering, retrieval-augmented generation, and agent patterns, with papers and notebooks linked alongside plain-language explanations.
It suits someone who wants a single place to look up a specific technique — chain-of-thought, few-shot examples, retrieval patterns — with pointers to the research behind it, rather than a linear course.
Its breadth is also its limitation: some sections move faster than others get updated, so treat any specific technique's effectiveness as worth testing against your own actual task rather than assumed from the write-up alone.
| Month | Days appeared |
|---|---|
| Oct 24 | 5 |
| Dec 24 | 2 |
| Jun 25 | 3 |
| Oct 25 | 3 |
Appeared on a GitHub trending board 13 days between 1 Oct 2024 and 31 Oct 2025. This counts trending-board appearances — it reflects attention, not quality, and GitHub does not publish how trending is calculated.
This guide is a reference to look things up in; the prompt lab is where to practise a framework end to end.
Practice the fundamentals hands-onRepository details from the GitHub API, collected 16 Aug 2026. Trending history from the GitHub Trending Archive, covering 1 Oct 2024 – 31 Oct 2025.
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