Prompt engineering is evolving fast, and GitHub is where that evolution lives.
If you’re serious about mastering how AI systems think, these 5 repositories will save you months of trial and error.
1️⃣ OpenAI Cookbook: The Official Playground
github.com/openai/openai-cookbook
The go-to library for developers experimenting with GPT APIs, embeddings, and fine-tuning.
It’s packed with production-ready code from text classification to function calling examples.
Use It For:
- Building your own API workflows
- Understanding token limits & prompt optimisation
- Experimenting with fine-tuning templates
2️⃣ Awesome ChatGPT Prompts: The Community Goldmine Prompt engineering is evolving fast, and GitHub is where that evolution lives. 1️⃣ OpenAI Cookbook: The Official Playground github.com/openai/openai-cookbook The go-to library for developers experimenting with GPT APIs, embeddings, and fine-tuning. Use It For: 2️⃣ Awesome ChatGPT Prompts: The Community Goldmine github.com/f/awesome-chatgpt-prompts This repo is a global collection of the best prompts ever shared. Use It For: 3️⃣ LangChain: The Bridge Between Prompts and Apps github.com/langchain-ai/langchain LangChain is what turns prompts into workflows. Use It For: 4️⃣ Prompt-Engineering-Guide by DAIR.AI github.com/dair-ai/Prompt-Engineering-Guide An academic-quality guide covering prompt types, design patterns, and evaluations. Use It For: 5️⃣ Jaideep Parashar / AI Prompt Library: Applied AI in Action github.com/jaideepparashar/AI-Prompt-Library My own open-source collection of prompt frameworks used in ReThynk AI books and AI Lab projects. Use It For: Final Thought Don’t just collect prompts, study how they evolve into systems. GitHub isn’t just a repository of code anymore; it’s a repository of intelligence. Resources ChatGPT Prompts for Coding: 630 Actionable Prompts for Debugging, Testing, Integration, and Deployment Next Article:
If you’re serious about mastering how AI systems think, these 5 repositories will save you months of trial and error.
It’s packed with production-ready code from text classification to function calling examples.
You’ll find everything from marketing copy to debugging assistants, a perfect place to study structure and tone.
It helps you connect LLMs with APIs, memory, and databases to build AI agents that actually do things.
It goes beyond examples to explain why certain prompts work, perfect for those who want depth.
It includes ready-to-use prompts for coding, business automation, Excel integration, and personal branding.
If you bookmark these five today and study their structure, you’ll develop an intuition that no tutorial can teach.
“Building a Prompt Engineering Toolkit for Developers”: how to create your own custom toolkit for experiments, testing, and automation.