Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

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💡 Why It Matters

The Prompt-Engineering-Guide addresses a critical challenge for ML and AI teams by providing comprehensive resources for prompt engineering and context engineering. This open source tool for engineering teams offers guides, papers, and notebooks that enhance the development of AI agents and language models. With a maturity level suitable for production use, it is a valuable asset for teams looking to optimise their AI systems. However, it may not be the right choice for those seeking highly specialised or niche solutions. The repository's impressive growth rate of 16.0% over 254 days, with an increase of 10,591 stars, highlights its relevance and the strong interest from the community.

🎯 When to Use

This guide is a strong choice when teams are developing generative AI applications and need a solid foundation in prompt engineering. However, teams focusing on highly specific AI tasks may want to consider alternative resources.

👥 Team Fit & Use Cases

This resource is particularly beneficial for ML engineers, data scientists, and AI researchers. It is commonly integrated into products and systems that involve natural language processing and AI-driven applications.

🎭 Best For

🏷️ Topics & Ecosystem

agent agents ai-agents chatgpt deep-learning generative-ai language-model llms openai prompt-engineering rag

📊 Activity

Latest commit: 2026-03-11. Over the past 253 days, this repository gained 10.6k stars (+16.0% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.