Session

Beyond Autocomplete: Mastering AI Pair Programming with GitHub Copilot

Tired of writing boilerplate and repetitive code? This session dives deep into GitHub Copilot, the AI pair programmer that works alongside you in Visual Studio Code and Visual Studio. Through live coding demos, we’ll show how Copilot can translate natural language prompts into code, suggest entire functions, and even filter out common errors by recommending best practices. Whether you’re new to AI tools or already using Copilot, you’ll learn techniques to get more from it and avoid common pitfalls.

What You’ll Learn: How to integrate Copilot into your daily workflow for rapid development, tips for crafting prompts to generate better code suggestions, and strategies to use Copilot for documentation and unit tests generation. We’ll also share insights from the latest research (GitHub’s studies show developers using Copilot complete tasks 55% faster) to highlight why AI-assisted coding is transforming development.

By the end of this session, you’ll understand how to pair with Copilot effectively to improve productivity and code quality. Why it matters: As AI becomes a standard part of the developer toolkit, mastering Copilot means writing better code with less work – a boost for both new and experienced developers in building reliable, maintainable systems.

This is a first public delivery. Targets users of VS Code and CoPilot. Will provide configuration techniques to provide customizations. Different use cases for coding and also research techniques.

Matt Vaughn

Angular Architect at Build Motion

Denver, Colorado, United States

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