Resources

You have reached the end of the learning journey. Return to any chapter from Home, or use Previous to revisit the architecture summary.

The author has selected six learning resources, listed below. Use them to deepen your understanding or try the ideas in a hands-on workshop.

Reference checks for this draft

These product references complement the recommended learning resources:

• Custom agent configuration reference
• Hooks reference
• Custom instructions in VS Code
• Copilot on GitHub.com and GitHub Mobile
• Model Context Protocol and Copilot

Documentation was consulted on 4 November 2026. Copilot experiences and supported configuration differ between the IDE, CLI, app and cloud; recheck the reference for the environment you use.

Recommended learning

• Developing in Agentic AI Systems - Part 1 of 2 — Microsoft Learn path covering SDLC integration, agent architecture, tools, permissions and MCP.
• Developing in Agentic AI Systems - Part 2 of 2 — Microsoft Learn path covering multi-agent orchestration, memory, evaluation and governance.
• Foundations of Agentic AI in GitHub — Microsoft Learn module introducing the agent lifecycle, traceability and the contributor model.
• Building Custom Agents — Awesome Copilot guide to personas, agent profiles, design patterns and tool integrations.
• Agents and Subagents — Awesome Copilot guide to focused delegation, isolated context and coordination patterns.
• Copilot Cloud Agent Workshop — Hands-on exercises covering instructions, issue delegation, custom agents, monitoring and iteration.