The .NET team, including Bruno Capuano and Justin Yoo, provides an enterprise-focused walkthrough of AI agent architectures in .NET, showcasing Microsoft's Agent Framework with deployment on Azure.

.NET AI Community Standup: Real-World AI Agent Architecture in .NET

This community standup session dives deep into what’s required to build real-world AI agent systems using .NET, moving beyond simple examples to focus on production-grade architectures suitable for enterprise workloads.

Technologies and Patterns Explored

• **Microsoft Agent Framework (MAF)😗* Fundamentals and usage for orchestrating multi-agent systems within .NET applications.
• Microsoft Foundry as Model Backend: How the open-source Interview Coach sample leverages Foundry for advanced model hosting and integration.
• **Model Context Protocol (MCP)😗* Facilitating powerful tool integration and model abstraction within AI agent workflows.
• Aspire: Enabling orchestration, service topology, health checks, and observability for containerized .NET AI systems.
• Deployment: Strategies for deploying agent-based applications to Azure Container Apps for scalable, cloud-native operations.

Key Architectural Topics

• Handoff vs Agent-as-Tools Patterns: Analyzing when to use different agent composition strategies in production workloads.
• Service Topology Design: Structuring AI systems for modularity, scalability, and reliability.
• Telemetry & Health Checks: Ensuring robust monitoring, logging, and system health with Aspire.
• Model Abstraction via IChatClient: Creating flexible interfaces for interacting with AI models and backend systems.

Use Cases

• Interview Coach Sample: An open-source .NET project serving as a reference for production-level agent system design.
• Enterprise Workloads: Guidance on adapting these patterns for complex, real-world AI applications in business environments.

Further Resources

• Session resource link on Microsoft Learn
• Connect with the speakers on LinkedIn:
  • Bruno Capuano
  • Justin Yoo

This session is especially valuable for developers designing AI systems in .NET who want actionable architectural guidance straight from the community and product teams.