Prompt-Engineering-Guide

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

79.6k
Stars
+13.3k
Gained
20.2%
Growth
MDX
Language

💡 Why It Matters

The Prompt-Engineering-Guide addresses the need for structured resources in prompt engineering, a critical area for ML and AI teams. It provides comprehensive guides, papers, and notebooks that help engineers design effective prompts for AI agents, making it especially beneficial for roles such as machine learning engineers and AI researchers. With a maturity level that indicates a production-ready solution, teams can confidently implement its strategies. However, it may not be suitable for teams seeking highly specialised or niche applications outside the general scope of prompt engineering. The guide's impressive growth trend of 20.2% over 351 days, gaining 13,350 stars, serves as strong social proof of its value and relevance in the field.

🎯 When to Use

This repository is a strong choice when teams are looking to enhance their understanding and application of prompt engineering in AI projects. Teams should consider alternatives if they require highly specific methodologies or tools that are not covered in this guide.

👥 Team Fit & Use Cases

Roles such as machine learning engineers, AI researchers, and data scientists will find this resource particularly useful. It is often included in products and systems that involve AI agents, chatbots, and generative language models.

🎭 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 350 days, this repository gained 13.3k stars (+20.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.