Microsoft Developer, featuring April, demonstrates how to generate and run agent code using AI Toolkit and GitHub Copilot, providing actionable steps and environment setup guidance for developers.

Generating Agent Code Using AI Toolkit and GitHub Copilot

Presented by Microsoft Developer (April)

This video is Part 4 of the “AI Toolkit + GitHub Copilot” Pet Planner workshop. April demonstrates how to transition from building an agent using AI Toolkit’s Agent Builder to generating functional agent code, leveraging GitHub Copilot for further assistance and enhancement.

Workshop Overview

  • GitHub Copilot + AI Toolkit Integration: Streamlines the creation and extension of intelligent agents with code generation support.
  • Pet Planner Example: Focuses on a practical project, giving context to the generated agent code.

Key Steps Covered

1. Generating the Agent Code

April walks through the code generation process using the AI Toolkit’s Agent Builder, illustrating how developers move from agent design to functional code.

2. Reviewing and Understanding the Generated Code

Highlights review strategies for the produced agent code, including identifying points for extension and verification of logic.

3. Setting Up the Local Development Environment

Detailed guidance on setting up your local environment for running and testing the generated agent code. Steps include installing required toolkits and preparing dependencies.

Practical Takeaways for Developers

  • Understand the workflow from agent design to runnable agent code.
  • Use GitHub Copilot to accompany code refinement and insert custom logic.
  • Configure local development environments for seamless agent deployment and iteration.

Chapter Markers

  • 00:00 - Introduction
  • 00:03 - Generate the agent code
  • 01:21 - Review the agent code
  • 03:07 - Set up environment
  • 04:34 - Run the agent code

For further learning, the video guides developers to reference the provided workshop materials and community links for ongoing support and discussion.