Prompt Engineering Guide
by Various
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Apps
Prompt Engineering Guide
Added 1 June 2026
Overview
A curated collection of guides, research papers, lessons, and notebooks covering prompt engineering, context engineering, RAG, and AI agents. Hosted as open-source documentation in MDX format on GitHub with 75k+ stars. Serves as a reference resource for understanding and implementing prompt optimization techniques.
Best for
Best for
Developers building LLM applications who need structured learning and reference material on prompt and context optimization.
Use cases
- Learning prompt engineering fundamentals and advanced techniques
- Understanding RAG and agent architecture patterns
- Referencing best practices when building LLM applications
Notes
A curated collection of guides, research papers, lessons, and notebooks covering prompt engineering, context engineering, RAG, and AI agents. Hosted as open-source documentation in MDX format on GitHub with 75k+ stars. Serves as a reference resource for understanding and implementing prompt optimization techniques.
75,152 stars on GitHub. Last updated 2026-03-11. Licensed MIT.
Use cases
- Learning prompt engineering fundamentals and advanced techniques
- Understanding RAG and agent architecture patterns
- Referencing best practices when building LLM applications
Pros
- Comprehensive coverage spanning multiple AI engineering disciplines
- Community-validated with high GitHub engagement
- Free and open-source with no vendor lock-in
Cons
- Static reference material, not an interactive tool or IDE
- Requires manual application of techniques to your own projects
- Quality and currency depend on community maintenance
Indexed from awesome-generative-ai and enriched against its public facts.
Pros
- Comprehensive coverage spanning multiple AI engineering disciplines
- Community-validated with high GitHub engagement
- Free and open-source with no vendor lock-in
Cons
- Static reference material, not an interactive tool or IDE
- Requires manual application of techniques to your own projects
- Quality and currency depend on community maintenance
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