Github Blog

Real‑world video demo: Using different AI models in GitHub Copilot

thumbnail

Demo Overview

In this video demo, we explore using different AI models in GitHub Copilot to build a travel-reservation app. We showcase the use of Copilot in ask, edit, and agent modes while swapping between various foundation models. The goal is to compare the performance of each AI model in real-world development workflows.

Key Takeaways:

  1. Context matters more than the model used: Context plays a crucial role in the performance of AI models. Shaping prompts and providing proper context is essential for optimal results.
  2. Using agent mode for one-click project scaffolding: Agent mode can be used for seamless project setup by giving custom instructions to Copilot.
  3. Custom instructions for consistent coding: Custom instructions can help ensure that different AI models follow the same ground rules, enabling consistent and secure code generation.

Individual Tips Explored

Tip 1: Context is Key

  • The context provided to AI models significantly impacts their performance.
  • Shaping prompts and context deliberately is crucial for better results.

Tip 2: Leveraging Agent Mode

  • Agent mode simplifies project scaffolding and setup.
  • Custom instructions can be used to guide Copilot in generating code as per specific requirements.

Tip 3: Using Custom Instructions

  • Custom instructions help in setting ground rules for AI models.
  • Ensuring consistency by customizing Copilot's behavior with specific instructions improves code quality.

What You'll Learn

  • How to leverage different AI models in GitHub Copilot for various development tasks.
  • The importance of context and custom instructions in enhancing the performance of AI models.
  • Practical tips for using Copilot in different modes to streamline development workflows.

Conclusion

The video demo showcases the application of different AI models in GitHub Copilot for building a travel-reservation app. By exploring ask, edit, and agent modes with various foundation models, viewers gain insights into optimizing AI model selection and usage in real-world development scenarios.

Additional Resources

  • Explore the demo repository: Fork the demo repository from the video to test different models with GitHub Copilot.
  • Which AI model should I use with GitHub Copilot?: A comprehensive guide for choosing the appropriate model in Copilot for different scenarios.