Content by Justin Yoo (5)

Justin Yoo walks through a sample “Interview Coach” app that uses the GitHub Copilot SDK as an agent runtime (outside the editor) to run an interview workflow: ingest a resume, ask behavioral/technical questions, store session context, and generate end-of-interview feedback using MCP tools and Agent Framework handoffs.

Justin Yoo walks through a practical profiling workflow for distributed .NET apps, showing how to identify which process owns a slow user interaction, use Visual Studio CPU profiling to rule out CPU-bound work, and then measure hidden async waiting that doesn’t show up in CPU samples.

Justin Yoo details how to build a production-ready AI interview coach using Microsoft Agent Framework, Foundry, MCP, and Aspire, sharing multi-agent orchestration, cloud infrastructure, and .NET integration strategies.

Justin Yoo introduces the open-source Interview Coach sample, showing how to build a production-style, multi-service AI agent app with Microsoft Agent Framework, Azure AI Foundry, MCP tool servers, and .NET Aspire—covering multi-agent handoffs, tool isolation, local runs, and deployment to Azure Container Apps.

Justin Yoo demonstrates how developers can search, preview, and save custom GitHub Copilot chat modes, instructions, and prompts using the new Awesome Copilot MCP Server, streamlining Copilot customization workflows.