Agentic Coding with GitHub Copilot: Skills, Agents and MCP (Udemy.com)

In this comprehensive masterclass, you will transition from traditional prompt engineering to orchestrating terminal-native AI agents. Using the GitHub Copilot CLI to build true Agentic Coding Workflows, you will design, scaffold, and build a full-stack, distributed e-commerce architecture (EShop) powered by modern C# 12, .NET 10, and the .NET Aspire orchestration framework (.NET Web API backend and Blazor frontend). Instead of writing every line manually, you will act as an AI Architect—using plan modes, context management, and custom agent md files to instruct the Copilot CLI to scaffold, build, review, and refactor the application.

This course is meticulously structured to take you from theoretical AI concepts to hands-on, enterprise-grade execution.

Inside this course, we will focus deeply on:

• AI Agent Harness and Components of a Coding Agent: Look under the hood of modern AI tools. You will master the Information layer (context and memory), the Execution environment (tools and sandboxing), and Governance (guardrails and orchestration) that make autonomous coding possible.

• Develop an EShop Distributed App with GitHub Copilot CLI: Shift your AI into "Autopilot" mode. You will watch your agent autonomously generate business services, Minimal APIs, dependency injection configurations, and testing scripts across a complex microservices architecture.

• The Core Agentic Workflow (Explore → Plan → Code → Review): Stop prompting blindly. You will learn the strict, 4-phase enterprise methodology required to safely architect features, eliminate hallucinations, and audit automated pull requests.

• The Customization Hierarchy (Instructions, Skills, and Agents): Out-of-the-box AI is too generic. You will learn the enterprise hierarchy needed to force the AI to write code that perfectly matches your corporate standards.

• Custom Instructions to Customize GitHub Copilot Coding Agent: Use .github/copilot-instructions md and the /init command to enforce repository-wide coding conventions, architectural rules, and context automatically on every prompt.

• Agent Skills for Specialized Capabilities and Domain Expertise: Stop repeating yourself. You will build highly reusable SKILL md toolsets—such as a Backend API Scaffolder and a Frontend Blazor UI Generator—that teach your agent specialized capabilities.

• Custom Agents for Specialized Assistants to Handle a Specific Task: When tasks get too complex for a single AI, you will architect named AI personas. Build a "Enterprise .NET Guardian" to conduct rigorous code reviews, or an "EShop Orchestrator" to handle multi-step checkout lifecycles.

Beyond the core agentic workflows, you will also master:

• Context & Session Management: Learn to manage your AI's memory using the /context and /compact commands to prevent token fatigue and drastically reduce your API costs.

• The Model Context Protocol (MCP): Break your agent out of the terminal. Use MCP servers to connect GitHub Copilot directly to live GitHub repositories, external databases, and local testing frameworks.

• Asynchronous Cloud Delegation: Use the /delegate command to hand off massive, time-consuming tasks to cloud-based AI subagents that operate in the background and open automated Pull Requests.

Designed for real-world application, this course skips the fragile "toy demos" and focuses exclusively on building resilient, production-ready AI coding partners.

If you are a Software Engineer, Tech Lead, or Solutions Architect ready to multiply your engineering velocity and master the absolute bleeding-edge of AI development, enroll today and start building your autonomous workforce.