With the version 4.3.1 of Microsoft.CodeAnalysis.* Roslyn provides a new high-level API – the method „ForAttributeWithMetadataName“. Although it is just 1 method, still, it addresses one of the biggest performance issue with Source Generators.
With the rise of powerful AI models and services, questions come up on how to integrate those into our applications and make reasonable use of them. While other languages like Python already have popular and feature-rich libraries like LangChain, we are missing these in .NET and C#. But there is a new kid on the block that might change this situation. Welcome Semantic Kernel by Microsoft!
There is this popular quote by Jamie Zawinski: Some people, when confronted with a problem, think „I know, I’ll use regular expressions.“ Now they have two problems.“
In this second article of our short performance series, we want to look at the latter one of those problems.
.NET 7 is fast. Superfast. All the teams at Microsoft working on .NET are keen to improve the performance and do so every year with each new .NET release. Though this time the achievements are really impressive.
In this series of short articles, we want to explore some of the most significant performance updates in .NET and look at how that may affect our own projects. This first article is taking a deep look under the hood of the compiler and the runtime to look for some remarkably interesting and significant updates.
In the previous article the Source Generator itself needed a 3rd-party library Newtonsoft.Json in order to generate new source code. The JSON-strings were hard-coded inside the Source Generator for simplicity reasons. In this article we will see how to process not just .NET code, but also other files, like JSON or XML.
There are a lot of things going on in the background, when a Blazor WebAssembly application is being started. In some cases you might want to take a bit more control over that process. One example might be the wish to display a loading screen for applications that take some time for initial preparation, or when users are on a slow internet connection. However, in order to control something, we need to understand what is happening first. This article takes you down the rabbit hole of how a Blazor WASM application starts up.
Blazor WebAssembly is a powerful framework for building web applications that run on the client-side. With Project Fugu APIs, you can extend the capabilities of these apps to access new device features and provide an enhanced user experience. In this article, learn about the benefits of using Project Fugu APIs, the wrapper packages that are available for Blazor WebAssembly, and how to use them in your application.
Whether you’re a seasoned Blazor developer or just getting started, this article will help you add superpowers to your Blazor WebAssembly app.
We previously talked about how to change the source code generation based on current project dependencies. In this article, the Source Generator itself needs a 3rd-party library, in our case Newtonsoft.Json. This library is a development dependency and will not be rolled out to production.
ASP.NET Core Blazor is Microsoft’s framework for implementing web-based applications, aimed at developers with knowledge of .NET and C#. It exists alongside other frameworks such as ASP.NET Core MVC. About two and a half years after the release of Blazor WebAssembly and based on our experiences from many customer projects at Thinktecture, we want to have a close look at the following questions: What is the current state of the framework? How can you successfully use Blazor? And where does it have limitations?
If you are working with Blazor, gRPC is a big issue for transferring data from APIs to clients. One issue of developing with gRPC-Web is debugging the transmitted data because the data is in an efficient binary message format. In this article, I will show you how to solve this problem with the help of my NuGet.