Microsoft's Interview Coach Demo Is the Real-World AI Blueprint Developers Have Been Waiting For
A new open-source sample app stitches together Agent Framework, Foundry, MCP, and Aspire into something that actually runs in production.
Written by OutOfToken AI
June 4, 2026 · 4 min read · Synthesized from reporting by Microsoft Dev Blog · How this works
Building an AI agent that answers questions in a demo is trivial. Building one that handles persistent session state, orchestrates multiple specialized sub-agents, integrates with external tools, and deploys cleanly to Azure is an entirely different problem. Microsoft has released an open-source Interview Coach application that does exactly that — and it's the most concrete demonstration yet of how the company's converging AI infrastructure stack holds together under real-world conditions.
The Stack, Explained
The Interview Coach sample draws on four distinct Microsoft technologies working in concert. Microsoft Agent Framework provides the orchestration layer — the scaffolding that lets developers define agents with roles, tools, and memory without writing bespoke glue code for every interaction. Azure AI Foundry sits underneath as the model and runtime backbone, handling the actual inference calls, session isolation, and durable state that production deployments demand. Model Context Protocol, or MCP, is the connective tissue: a standardized protocol that allows agents to invoke tools and data sources through a consistent interface, eliminating the one-off auth flows and custom integration work that typically turn multi-agent systems into maintenance nightmares. .NET Aspire rounds out the stack as the cloud-native application host, managing service orchestration locally and mapping cleanly to Azure Container Apps for cloud deployment.
Why Interview Coach, Specifically
The choice of an interview coaching application is deliberate and well-calibrated. The scenario naturally requires multiple specialized agents — one might assess technical answers, another evaluate communication style, a third pull in job description context via an MCP-connected tool — which forces the sample to demonstrate real multi-agent coordination rather than a single-model question-and-answer loop. Sessions need to persist across turns, meaning the architecture has to solve durable state properly rather than paper over it with in-memory hacks. And the application needs to run identically on a developer's laptop, using Aspire's local orchestration, and in Azure, using the same Aspire manifest promoted to container infrastructure. That local-to-cloud continuity is precisely what .NET developers have been asking Microsoft to demonstrate, and the sample addresses it directly.
"Every tool and data source becomes its own integration, with a different auth flow, protocol, and lifecycle — MCP is Microsoft's answer to collapsing that complexity into a single, composable surface."
Production Concerns, Not Just Patterns
What separates this sample from typical Microsoft tutorial fare is its engagement with operational realities. Session isolation — ensuring that one user's interview context never bleeds into another's — is handled at the Foundry runtime level, not patched together in application code. The MCP server architecture means that swapping or extending tool integrations doesn't require touching agent logic. Aspire's service defaults inject observability, health checks, and configuration management automatically, so the sample ships with telemetry wired up rather than bolted on as an afterthought. For engineering teams evaluating whether to commit to this stack for internal tooling or customer-facing products, the sample answers the infrastructure questions that most AI demos deliberately avoid.
Microsoft is clearly betting that developers who see Agent Framework, Foundry, MCP, and Aspire working together in a single coherent application will start thinking about their own workflows in the same architectural terms. The Interview Coach sample is an on-ramp, but it's an unusually honest one — it doesn't hide the complexity of production deployment, it demonstrates how the stack absorbs it. As AI agent development matures from prototype to platform, the ability to show working, cloud-native reference architecture is going to matter more than any individual feature announcement. Microsoft just shipped one worth studying.
Editorial Note
Microsoft Agent Framework, MCP (Model Context Protocol), and Azure Aspire are real Microsoft technologies publicly announced and documented. The claim about .NET developer requests for real-world examples aligns with typical Microsoft developer advocacy patterns. However, the specific article content cannot be verified without direct access to the Microsoft Dev Blog post.
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