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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.
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 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.
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?
Writing client-facing APIs involves mundane tasks, whether it be REST, GraphQL, or gRPC. In this talk, I will pick two repetitive tasks during API development and demonstrate how we can utilize Scala to automate the most boring parts.
I would like to present the use of NamedTuples to implement some cool things in SQL Libraries
Scala Fibers, Java Virtual Threads, and Kotlin Coroutines - this talk shows how this elegant solution manifests at three different abstraction levels.
