Course Overview

This practical one-day course teaches embedded developers how to use GitHub Copilot effectively for firmware development. Learn specific techniques for driving inline completions and Copilot Chat in ways that work well for embedded C/C++, hardware interfaces, and resource-constrained systems.

GitHub Copilot can dramatically accelerate embedded development, but only if you know how to use it effectively for low-level programming. This course bridges that gap, teaching you how to leverage Copilot’s inline suggestions and Chat while maintaining the precision and efficiency embedded systems demand. You’ll learn to steer Copilot toward production-quality drivers, create comprehensive test suites for hardware interfaces, and accelerate documentation tasks—all while ensuring the code meets embedded best practices for memory usage, real-time performance, and hardware compatibility.

For deeper coverage of debugging, validation/review, and brownfield work, ask us about the 2-day Deep Dive and 3-day Applied variants of this course.

Learning Objectives

  • Drive GitHub Copilot effectively for embedded C/C++ development—inline completions and Copilot Chat
  • Use Copilot’s features to streamline and simplify your development work
  • Use Copilot to accelerate common embedded programming tasks
  • Bring documentation and datasheets into your Copilot workflow as working context
  • Ensure Copilot-generated code meets professional quality standards
  • Take first practical steps into AI-assisted test-driven development for embedded code
  • Build a library of reusable prompts and patterns for your platforms

Topics Covered

  1. GitHub Copilot Fundamentals - Effective setup and usage—inline completions and Copilot Chat—for embedded development
  2. Working with Documentation - Bringing datasheets, reference manuals, and APIs into your Copilot workflow as context
  3. Embedded-Specific Prompting - Steering Copilot to respect hardware constraints and embedded patterns
  4. Code Quality & Professionalism - Ensuring Copilot-generated code is production-ready, maintainable, and follows best practices
  5. Common Embedded Tasks - Practical examples and embedded patterns
  6. Testing through TDD - First practical steps into AI-assisted test-driven development for embedded code, with pointers on debugging, review, and validation along the way

What You Get

  • Hands-on practice with GitHub Copilot for embedded development
  • Collection of proven prompts and patterns for embedded development
  • Real-world examples from embedded projects
  • Best practices for AI-assisted hardware-software integration
  • Strategies for managing embedded project complexity
  • Networking with AI-enabled embedded developers
  • Certificate of completion