Within an event-driven, microservices architecture there's often a big gap between a web component that relies on some data, and the event data itself. There will usually be several services in the middle, from multiple APIs, databases, distributed caches etc. Building and updating that web component might mean touching many codebases and coordinating across many teams. This can be slow and hamper experimentation. What if... we bring that raw event data right into the browser, making it, in effect "event driven"? That web component can be developed and iterated on at lightning speed. New components can be built without the need for new endpoints. With access to the raw data, frontend developers suddenly have the freedom to explore new, bold ideas without fear of the upstream complexity.

I know, I know - another AI talk. But hear me out: this one isn't about prompts, it isn't about replacing developers, and ChatGPT won't be mentioned once. It's about what happens when you stop using AI as a fancy autocomplete and start wiring it up with tools, memory, and the ability to orchestrate other agents. We'll look at how Claude skills and plugins actually work, build a small agent pipeline live, and be honest about where it breaks. You might leave with ideas you can actually use on day-to-day bases.

Performant Architecture for a Fast Gen AI User Experience

More and more developers are being asked to build Generative AI experiences into their web applications everywhere. However, the user's experience with Generative AI can sometimes be slow and frustrating. It’s been years since we would gladly wait over 10 seconds for a response to anything online. As AI processing gets faster, there are new limiting factors that could be negatively affecting your AI user experience.

In this talk, we will cover different ways to minimise laggy experiences in web applications when interacting with third-party Generative AI tools. We’ll be using a practical demonstration to show how you can reduce latency as we build one of my favourite sci fi gadgets, the babel fish.

Highly available, scalable, durable, and distributed asyncrounously long-running workflows are the core of Nous' switching business.

Having a powerful orchestration engine is critical and our journey has been a long one.

Come and listen to how and why we integrated Temporal.io as our core way to deterministically run our core business logic.