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AI ASP.NET Core
From DevUI to Observability: Evolving the Agent Dev Loop in Microsoft Agent Framework
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. -
Productivity
The Silent Risk of Manual File Transfers: Why Secure File Transfer Software Matters
Discover the hidden security, compliance and operational risks of manual file transfers and why businesses are adopting secure file transfer software. -
Mobile .NET MAUI/Hybrid Desktop
Share Functionality in Your .NET MAUI Apps
Learn how to add share functionality to your .NET MAUI app whether in iOS, Android or Windows. -
Web
Deploying Containerized NestJS Applications on GCP Using Cloud Run
While there are numerous ways to deploy an app to Cloud Run, see how to containerize and deploy a NestJS API. We will use a few products on GCP, such as Buildpacks and Artifact Registry, to build and deploy our image, and then finally deploy it to Cloud Run. -
AI
AI Cost Visibility Before the Invoice: How to Trace, Measure and Optimize Token Spend
Learn how to measure and optimize AI token spend before billing surprises hit. Discover why production AI costs diverge from estimates and how trace-level observability helps teams control LLM spending. -
AI Web Productivity Document Processing
Creating Reliable AI Resources with Telerik Agent Tools API
The RAG resources you create to use with your LLMs are strategic resources, just like your organization’s databases. Telerik Agent Tools let you create the custom tools for managing those resources. -
Web ASP.NET Core
Protect Your Entities with Domain Validation
Learn about error-prone domain validations in ASP.NET Core and how to correctly model them. -
AI Mobile .NET MAUI/Hybrid Desktop
Installing and Basics of Telerik UI for .NET MAUI AI Coding Assistant
Check out the Telerik UI for .NET MAUI AI Coding Assistant, the MCP server native to Telerik controls and MAUI. -
Web
How to Build a Multi-Tenant SaaS API with NestJS and Postgres Row-Level Security
We’ll build a multi-tenant task management API where customer data is isolated automatically at the database level. We’ll use Postgres Row-Level Security to enforce tenant isolation, with NestJS as our application framework and TypeORM to interact with the database. -
AI Productivity Document Processing
Creating a Custom AI Agent with Telerik Tools 6: Embedding Conversational and Invisible Agents
Different kinds of AI-enabled applications need different UIs. Progress has the components you need for all of them.
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Web ASP.NET Core Productivity Testing Creating More Realistic Tests with In-Memory Databases in ASP.NET CoreMay 06, 2026
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