rescript-compiler VS foundation

ReScript is a fully typed language with an easy to understand JS like syntax, blazing fast compiler, that compiles to JavaScript. You can easily drop it into an existing project, and there is even a way to generate TypeScript types if you want to add it to a TypeScript project!

If you’re a front-end developer, you should checkout ReScript[1], supposedly a JS-oriented successor of ReasonML and developed by the ReasonML team.

[1] https://rescript-lang.org/

ReScript is "Fast, Simple, Fully Typed JavaScript from the Future". What that means is that ReScript has a lightning fast compiler, an easy to learn JS like syntax, strong static types, with amazing features like pattern matching and variant types. Until 2020 it was called "BuckleScript" and is closely related to ReasonML.

As another commenter has already suggested, ReasonML has a lot of what you described here.

However, modern JS-oriented toolchain for ReasonML is called ReScript and you can learn more here: https://rescript-lang.org/

ReScript (before BuckleScript) https://rescript-lang.org/ is a functional language that can also use OOP. Ideal for Javascript and Typescript projects, React and servers. It integrates perfectly with Javascript and Typescript code https://rescript-lang.org/docs/react/latest/introduction

Thank you!

We invited Gabriel because we think what he's building is pretty cool. It showcases so much about EdgeDB: its type system, data model, query language, composability, introspection, etc.

I'm not a ReScript user myself. What I know is that it's a functional programming language somewhat heavily inspired by OCaml. Their website goes into details [1]

[1] https://rescript-lang.org/

You might want to look into ReScript (https://rescript-lang.org/). It has strong static typing with type inference, and it is very fast.

This is because a “Tagged Union”, another word for TypeScript’s Discriminated Union, is a way to “tag which one is in use right now… we check the tag to see”. Just like when you’re shopping and check the tag of a piece of clothing to see what the price is, what size it is, or what material it’s made out of. Languages like ReScript compile many of their Unions (called Variants) to JavaScript Objects that have a tag property.

ReScript is "Fast, Simple, Fully Typed JavaScript from the Future". Let's take a look at how we can add it to an existing React project.

GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.

When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.

REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.

A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.

This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.

To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.

GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.