In this episode hosted by GitHub, guest Fatih Kadir Akın discusses the prompts.chat open source project, offering practical prompt engineering patterns valuable for GitHub Copilot and LLM workflows.

Open Source Friday: Practical Prompt Patterns with prompts.chat

Host: GitHub
Guest: Fatih Kadir Akın (@f)
Project: prompts.chat

Overview

This session dives into the prompts.chat open source repository, which provides a curated set of practical prompt patterns for Large Language Model (LLM) workflows. The conversation highlights the challenge developers face: iterating and refining prompts to achieve reliable outcomes when working with AI tools like GitHub Copilot.

Key Topics Discussed

• The role of prompts.chat as a resource for developers working with LLMs and GitHub Copilot
• How community contributions turn individual prompt iteration into a shared, reusable asset
• Real-world prompt engineering strategies and common patterns
• The importance of rapid experimentation and feedback when adapting prompts
• Encouragement to participate and contribute patterns back to the repo

Why prompts.chat Matters

• Saves developer time by providing battle-tested prompt templates
• Encourages best practices and knowledge sharing in AI prompt engineering
• Enhances efficiency for anyone using tools like GitHub Copilot

Resources Mentioned

• prompts.chat repo: https://github.com/f/prompts.chat
• Fatih Kadir Akın on X: https://x.com/fkadev

For Developers

If you use GitHub Copilot or LLM-powered workflows, check out prompts.chat to find, adapt, and contribute practical prompt patterns. This community-driven approach can help you iterate faster and improve AI-driven productivity.