Ever feel like a stranger on your own team? You're surrounded by brilliant developers, but their expertise is buried in commit histories and scattered across codebases.

This talk reveals how the Model Context Protocol (MCP) transforms GitHub Copilot into team X-ray vision. By feeding repository data to AI models, we get them to actually analyze our code patterns, commit styles, and collaboration behaviors to uncover the humans behind the software.

I'll demonstrate how AI models examine your codebase to surface team expertise, communication patterns, and hidden strengths that traditional metrics miss. Using GitHub's MCP server with models like GPT-4, we build team-aware workflows that instantly identify the right expert for any challenge.

As Moira Rose wisely said: "When one of us shines, all of us shine."

You'll leave with practical strategies for getting AI to decode your team's commit patterns, match experts to challenges, and reveal the human connections in your code.