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This article details the development of an interview coach application using the GitHub Copilot SDK to orchestrate agent workflows and tool calls within a .NET environment. The primary focus is on leveraging AI runtime capabilities for specific business logic rather than advancing foundational research or quantum mechanics.
Build an interview coach app with the GitHub Copilot SDK

An interview coach has to do more than ask questions. It needs to read a resume, follow up on an incomplete answer, and save enough context to give useful feedback at the end. Some of that work is conversation. Some of it requires calling an application service. The GitHub Copilot SDK lets you use the […]
An interview coach has to do more than ask questions. It needs to read a resume, follow up on an incomplete answer, and save enough context to give useful feedback at the end. Some of that work is conversation. Some of it requires calling an application service. The GitHub Copilot SDK lets you use the runtime behind Copilot CLI for that work inside your own application. You provide instructions and callable tools. Copilot handles the model interaction and resulting tool calls, while your application owns the interface and business workflow. For a developer building a personal assistant or an internal workflow, this means reusing an agent runtime with capabilities specific to the application. Existing Copilot access is a practical benefit, too: the sample’s local Copilot configuration doesn’t need a separate Azure model deployment. Interview Coach demonstrates this in…
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