This article shows .NET developers how to get started building and debugging agent-based applications with Microsoft Agent Framework and DevUI. Using the aiagent-webapi template, readers create a multi-agent workflow that includes Writer, Editor, and Publisher agents while learning how Microsoft Agent Framework integrates with familiar ASP.NET Core patterns such as dependency injection and hosted services.
The article explores how DevUI shortens the agent development loop by providing a visual interface for running workflows, inspecting agent interactions, and debugging execution locally. As workflows become more complex, the article highlights the growing observability gap between local debugging and production AI systems, where teams need visibility into behavior across sessions, latency, cost, failures, and evaluations.
To bridge that gap, the article introduces Progress AI Observability Platform and demonstrates how to instrument applications using OpenTelemetry and the .NET Activity pipeline. Readers learn how to capture traces, monitor workflows across sessions, analyze costs, and drill into telemetry data for deeper debugging and operational insight.
By combining DevUI with observability tooling, the article demonstrates a more complete agent development loop that evolves from local experimentation into production-ready diagnostics, tracing, evaluation, and monitoring for enterprise AI applications.
Testing ASP.NET Core APIs with in-memory SQLite and JustMock enables validation of real-world scenarios like pagination, keys and rules without a real database.
Here’s what you need to get started with Telerik Document Processing Libraries to work with PDF, Word and Excel files (and, like any good suite, make all those document types look very much alike).