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Drawing from multiple Scala LLM workshops we conducted this past year, I will share insights to significantly enhance your AI experience.
Large language models and agentic systems are currently very popular, with many advocating for their use. However, they sometimes fail to deliver the expected 'magical' results. Does this mean they are not useful? Absolutely not. With the right strategy and tools, you can leverage them effectively in Scala using existing solutions like the Metals Language Server. While this may not be a '10x developer' experience, even a 50% productivity boost is a significant win.
Drawing from multiple Scala LLM workshops we conducted this past year, I will share insights to significantly enhance your AI experience. I'll cover LLM fundamentals, but my primary focus will be on the Model Context Protocol and the agentic system tooling, particularly our solutions within the Scala ecosystem. These tools allow agents to interact with your machine and the external world in a controlled way, providing LLMs with crucial feedback to refine their output. My goal is for the audience to leave with a strong foundational understanding of how to use AI tools and where to seek further improvements.
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.
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?
This talk presents McCCT, a new concurrency testing tool developed at KTH by the speakers in the context of an ongoing research project.
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 this presentation, I will demonstrate how we leveraged the strengths of Scala and TypeScript to develop a collaborative text editor that meets the strictest standards for security, performance, and real-time collaboration.
