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.