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- This module covers how to configure and customize GitHub Copilot in Visual Studio Code using instruction files, prompt files, custom agents, and agent handoffs to create tailored AI-assisted development workflows.
After completing this module, you're able to:
- Customize GitHub Copilot's responses using instruction files and prompt files to enforce project-specific coding styles, best practices, and guidelines.
- Create custom GitHub Copilot agents in Visual Studio Code with tailored instructions, tool permissions, and subagent configurations.
- Configure and use agent handoffs to orchestrate multi-step development workflows.
- Implement a real-world scenario by defining custom instructions and chaining multiple custom agents to collaboratively complete a coding task.
- Learn to implement the spec-driven development methodology and GitHub Spec Kit for greenfield applications.
After completing this module, you're able to:
- Describe the principles and phases of the spec-driven development (SDD) methodology.
- Use GitHub Spec Kit commands to create the constitution.md, spec.md, plan.md, and tasks.md files.
- Implement a greenfield application from start to finish using GitHub Spec Kit's AI-assisted workflows.
- Implement the spec-driven development methodology using GitHub Spec Kit and GitHub Copilot in Visual Studio Code. Training covers a brownfield scenario for enterprise developers, emphasizing intent-first philosophy with living specifications.
By the end of this module, you're able to:
- Explain spec-driven development methodology and why it benefits large-scale enterprise projects (upfront clarity, fewer regressions, easier maintenance).
- Implement the GitHub Spec Kit and GitHub Copilot in Visual Studio Code to generate project artifacts (specifications, plans, tasks) aligned with enterprise development standards.
- Apply the GitHub Spec Kit in an Azure-integrated scenario, encoding internal engineering guidelines (security, performance, compliance) in a project "Constitution" and ensuring generated plans adhere to these constraints.
- Execute a spec-driven workflow to build a new feature, from spec creation through automated code generation and iteration.
- Describe how to integrate GitHub Spec Kit into team workflows, how to use it alongside Azure DevOps/GitHub Enterprise, and how to extend it for advanced scenarios (such as multi-agent collaboration and CI/CD integration).
- This module covers how to develop AI-enabled applications using the GitHub Copilot SDK. You install the SDK, explore its features, and build AI agents that can be integrated into your applications to automate tasks and enhance functionality.
After completing this module, you're able to:
- Explain what AI agents are and how they differ from chatbots and automation scripts.
- Describe the architecture and key features of the GitHub Copilot SDK.
- Design an AI agent system with tools, memory, and guardrails.
- Implement an AI agent using the GitHub Copilot SDK with custom tool definitions.
