So you have decided that you need a parser, a real one. Now you need to decide what to use to implement that parser. There are several choices: Create your own parser manually Use a parser combinator library like fastparse or parboiled2 Use a parser generator, like Antlr Use a language workbench, like Xtext or Langium Each choice has advantages and disadvantages that I will discuss in this post.
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I started writing this blog with a strong focus on language engineering and low code. I’m still fascinated by both but I’m starting a new job in the blockchain space and working with one of my favorite programming languages. Thus, I would like to broaden the topics of the blog and include some Scala coding from time to time.
Continue ReadingXtext has a strong foundation in Model-Driven Development. Most people who start working with it do not realize that from the beginning and then find themselves in troubles because of that. If you are using Xtext, it is worth learning: what a metamodel is The tooling around modeling in Eclipse, this is: MWE2 EMF (Eclipse Modeling Framework) At least the basics of Model Driven Engineering/Development Knowing this will allow you to use Xtext in the way it was intended and work around its limitations.
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This post is a continuation of my LSP and Xtext Tutorial. In my latest post I created a language in Xtext to be used with a client. In this post I am going to create VS Code plugin to connect to the language server created in the previous post. The full code for this example can be found here.
Continue ReadingThis post is a continuation of my LSP and Xtext Tutorial. In this post I present how to create the language to have all the necessary configurations to work. The full code for this example can be found here. Create the project The project is created as a standard Xtext project.
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