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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.
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.
Several solutions have been put forward to mitigate this, ranging from agentic code review to exhaustive test generation to formal verification.
In this talk, I present evidence from our research that these approaches are not currently sufficient to mitigate those concerns and instead suggest an alternative, more viable path forward based on the Scala type system.
I conclude by offering an insight from the perspective of LLM developers on why this approach is working and how even more secure coding LLMs can be developed, thanks to Scala features.
When writing software, we currently seem to have to choose between an imperative style - easy to read and write, hard to reason about - and a monadic style - hard to read and write, easy to reason about.This talk is about being greedy and getting the best of both worlds, because we deserve it.
In my talk I will argue that we can do much better by relying in a systematic way on types and capabilities.
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.
Drawing from multiple Scala LLM workshops we conducted this past year, I will share insights to significantly enhance your AI experience.
Learn how to accelerate Scala code by orders of magnitude with Cyfra.
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.
