Welcome to an exploration how generative AI impacts development (frontend, backend, mobile) trends, tooling and practices -- concluding with recommendations for individuals, teams and businesses on how to cope and thrive in this new world.

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.

Join me on the RAG (Retrieval Augmented Generation) road. In this talk we start from the basics, we will go through embeddings and vector databases. Then finally i'll show you a great use case for a RAG application that has a React front end and utilizes the capabilities of generative AI.

When the backend can reason, what does that mean for the frontend?
Let's take a look at how we can create UI's that can handle the reasoning capabilities of LLMs and adapt to perform any task.