GopherCon UK

Every talk from GopherCon UK 2026 is now on YouTube.

Whether you missed a session, couldn't be in two tracks at once, or just want to rewatch a favourite, it's all there and free to watch.

Huge thanks to our speakers for these, and to everyone who joined us in London. 💙

👉 youtube.com/playlist?list=…

#golang #gopherconuk26

Just about every modern language comes with sets built in, but Go doesn't, at least not yet.

In this talk, Fluent Python author Luciano Ramalho shows how thinking in sets can replace tangled loops and if statements with code that's simpler, clearer and often faster, then takes an early look at the new set types on their way to Go's standard library.

Watch the full talk here: youtu.be/F1mH6E8cp0M

AI is great at writing code that looks right, but that's not the same as code that is right.

In this talk, Bryan Boreham shows a safer way to make big changes to a Go codebase, using Go's built-in tools for understanding code to build your own checkers and fixers, and letting AI help write those tools instead of editing your code directly. It's packed with real examples from Prometheus and other open source projects at Grafana Labs.

Watch the full talk here: youtu.be/RK7oQie4d9k

One road trip across Western Canada left Sadie Freeman with 540 one-minute dashcam clips and over 100GB of footage, far too much for any video editor. So Sadie built a tool in Go to turn it all into a timelapse.

This talk follows that project from the simplest thing that worked to a full concurrent pipeline, including the moment unlimited goroutines took the laptop down, and the lessons on when running things in parallel really helps.

Watch the full talk here: youtu.be/6U1l2L50IeM

Running AI on your own machine used to mean extra servers, fiddly setup and a fair bit of Python. With Kronk, @goinggodotnet is making it something any Go developer can drop straight into their app and run on their own hardware.

Watch it in action as a local model builds an Asteroids game live on stage, then follow Bill under the hood to see how a model really turns your prompt into an answer.

Watch the full talk here: youtu.be/D83BLryPuDQ