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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.
Learn how to accelerate Scala code by orders of magnitude with Cyfra.
Protobuf is commonly associated with code generation. However, in large projects with tens of thousands of message definitions, this approach can lead to an overwhelming amount of generated code. In this talk, I’ll share my journey in search of a different approach to this problem.
I would like to present the use of NamedTuples to implement some cool things in SQL Libraries
This will be a live coding demonstration of Scala's newest feature set: capture checking.
In this talk, I’ll guide you through the crossroads where Scala intersects with AI, some applications aimed at boosting developer productivity, others focused on integrating your code with LLMs.
For nearly a decade, Scala's concurrency has been driven by Akka, Cats Effect and ZIO, each with its own vision for purity, safety, and pragmatism. Kyo enters this incredible ecosystem with a fresh perspective.This talk provides a critical, technical comparison of these systems through a unified framework.
