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So, is there a modern solution for web apps that is powerful, simple, and blazingly fast in both CI and the browser? A solution that lets you write in your favorite backend language and is fun? The answer is Datastar!
In recent years, Single Page Applications (SPAs) have become the de facto standard for web frontends. Frameworks like React, Angular, and Svelte have dominated the development of modern browser applications. Their goal is to create highly interactive websites by offering feature-rich toolkits and entire ecosystems of libraries. The number of libraries on npm is vast, providing a wide variety of functionalities.
However, these benefits come with costs. JavaScript bundles continue to grow in size. Your codebase needs to stay up to date with the latest React version. Keeping frontend and backend state in sync can be challenging. npm builds often take minutes on top of backend builds before deployment is possible. And how often have we deleted node_modules to fix mysterious issues?
Backend developers often prefer Server-Side Rendering (SSR), which usually lacks the interactivity required for modern web applications. Other attempts, like Scala.js, allow you to use your favorite backend language in the browser but often result in loading multiple megabytes of JavaScript just for the runtime and standard library on top of React, Laminar or similar libraries still used for the web app.
So, is there a modern solution for web apps that is powerful, simple, and blazingly fast in both CI and the browser? Something you can understand during a Scalar talk and learn in an afternoon? A solution that lets you write in your favorite backend language and is fun? The answer is Datastar!
Code generation is one of the most promising applications of large language models (LLMs), offering substantial productivity boosts for developers. However, this benefit is tempered by serious concerns surrounding the correctness and security of the generated code - especially outside the happy path.
In this talk, I will present insights from running the Open Community Build, where we continuously build and migrate nearly 2,000 open-source projects to the newest Scala Next versions, from scratch, every week.
Scala Native can interact with C code and libraries, greatly expanding the library ecosystem beyond pure Scala offerings. Let's see the low level and high level tools that make it possible, talk through challenges of encoding various C concepts in Scala, and demonstrate what popular C libraries look like when used alongside idiomatic Scala code.
This will be a live coding demonstration of Scala's newest feature set: capture checking.
Do you like it when compiler generates the boring code for you? Fast, mundane, boring-but-error-prone code? Do you need to implement such a code generator yourself? Have you found out that Shapeless/Mirrors bend your brain a bit too much?
In this talk, I will introduce the highlights of what to look forward to in Scala 3.9 LTS, as well as how to think about the upcoming new release.
