Aspire separates publish (generate parameterized artifacts) from deploy (apply to an environment). With a tiny bit of code, you can hook into the publish pipeline, prompt for the target environment (dev/staging/prod), and stamp Docker image tags + .env accordingly—perfect for local packaging and CI pipelines.
Creating a fully functional AI Chat App today doesn’t have to take weeks. With the new Microsoft Agent Framework and .NET Aspire orchestration, you can set up a complete, observable, and extensible AI solution in just a few minutes — all running locally, with built-in monitoring and Azure OpenAI integration.
.NET Aspire and Dapr integration made simple — learn how to build a scalable pub/sub demo using MQTT, RabbitMQ, and Dapr sidecars for modern distributed .NET (dotnet) apps.
This post demonstrates a minimal example showing how to build an Aspire interactive command that lets you input arguments on the fly before launching a console app.
Discover how to integrate .NET MAUI with Aspire, leveraging its service discovery features for streamlined project management. Learn more!
In this post, we’ll look at how to run a Python MCP (Model Context Protocol) server inside an Aspire application, integrate it with the MCP Inspector, and expose it via a Dev Tunnel for testing.
The Aspire dashboard is your home for local development. Let's explore customizing it with friendly URLs and icons for a cozier experience.
Master AI agent observability with .NET Aspire, Application Insights, and OpenTelemetry. Monitor performance, debug issues, and ensure production readiness. From local dev to Azure!
Let’s look at a minimal example where Aspire runs a Vite dev server directly from your project.
I’m going to show you how I took a standard AI chat app—generated using the .NET AI templates—and enhanced it with Microsoft Agent Framework. Let’s start!