LOADING
In my talk I will argue that we can do much better by relying in a systematic way on types and capabilities.
AI agents are taking over many tasks that required humans before. This could be very good for productivity but how can we possibly trust our agents? There are a multitude of known ways an agent could go wrong, including prompt injections or plain hallucinations. The current techniques to control agent behavior are patchy and rudimentary, they certainly don't instill trust.
In my talk I will argue that we can do much better by relying in a systematic way on types and capabilities. We can use them to make not only bad states but also bad actions unrepresentable. This points us to a possible future where an inherently untrustworthy LLM agent can be trusted to stay within defined parameters when put in the right environment.
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!
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.
In this talk, we will walk through a concrete example of a boilerplate-heavy domain. By replacing common Scala 2 workarounds with Opaque Types, Extension Methods, Enums, and Union Types, we will demonstrate how to achieve a strictly typed, decoupled architecture without the noise.
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.
I would like to present the use of NamedTuples to implement some cool things in SQL Libraries
