Performance optimization is critical to delivering fast and seamless user experiences in the ever-evolving web development landscape. This talk delves into the innovative use of speculation rules to enhance web loading times and overall performance. Attendees will gain insights into the principles and mechanisms behind speculation rules, learn how they predict and pre-fetch resources, and explore real-world applications and case studies demonstrating their impact.

Optimising performance is a great win for any online business, however, it's an expensive and time-consuming process, in this talk I’m going to get you through some great tips to make performance wins in a cheap way, the talk includes some good examples that make enhancing performance very easy and takes less time than ever and patterns that you could catch in your own projects right after watching it.

Optimising performance is a great win for any online business, however, it's an expensive and time-consuming process, in this talk I’m going to get you through some great tips to make performance wins in a cheap way, the talk includes some good examples that make enhancing performance very easy and takes less time than ever and patterns that you could catch in your own projects right after watching it.

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.