AI coding assistants like GitHub Copilot promise to supercharge developer productivity, and their benefits are clear when working on greenfield projects or personal side gigs. But what about the day-to-day reality for developers working in mature, large-scale codebases—with custom frameworks, long-standing conventions, and tangled histories?

In this session, we'll roll up our sleeves and put GitHub Copilot through its paces on a sample legacy application. Through live coding examples, you'll see where Copilot shines unexpectedly (and where it falls flat).

You'll walk away with strategies for making your existing codebase more "AI-friendly", techniques for your team to effectively collaborate with AI assistance, and a view of when to rely on Copilot versus when to stick with traditional approaches.