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Coding with an AI pair programmer: Getting started with GitHub Copilot

The explosion of programming languages and frameworks has ironically made development more difficult. Developers need to remember different syntax across different environments, and are finding that a large percentage of code they write is tedious. Acting as an AI pair programmer, GitHub Copilot can help a developer offload those tasks and instead focus on the bigger picture. Let's explore how to get started with GitHub Copilot, its capabilities, and how to make the most out of the tool. ▬▬▬▬▬▬ TIMESTAMPS ⌚ ▬▬▬▬▬▬ 00:00 - Introduction to GitHub Copilot 01:30 - GitHub Copilot Mechanics 03:00 - Data Handling in GitHub Copilot 04:33 - Adapting Workflow with Copilot 06:03 - Effective Prompt Crafting 08:37 - GitHub Copilot Coding Demo 10:21 - GitHub Copilot Best Practices 12:08 - Django Modeling with Copilot 14:10 - Fine-Tuning Django Code 16:43 - Naming Conventions for Copilot 19:02 - Django Views Optimization 21:20 - Creating Django Views 23:08 - Using Comments and Examples 25:38 - Refining Code with Copilot 28:08 - Key Takeaways and Practices 29:38 - Conclusion Stay up-to-date on all things GitHub by connecting with us: YouTube: https://gh.io/subgithub Blog: https://github.blog X:   / github   LinkedIn:   / github   Insider newsletter: https://resources.github.com/newsletter/ Instagram:   / github   TikTok:   / github   Facebook: About GitHub It’s where over 100 million developers create, share, and ship the best code possible. It’s a place for anyone, from anywhere, to build anything—it’s where the world builds software. https://github.com

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