GoKawiilZig Days are full-day collaborative programming events that usually take place on a Saturday.
People meet in the morning, introduce themselves, and mention what hobby/learning project they want to work on. Everybody is then free to form small groups or to work alone. At the end of the day, some Zig Days let participants demo what they worked on.
All the Zig Days are listed here: https://zig.day.
A photo of a Zig Day Milan
This is the flagship meetup format of the Zig community, and its main goal is to foster a community that enjoys and cares about applying systems thinking to create software you can love, as we believe it to be a key characteristic for growing a vibrant global Zig community.
These are the only hard rules that Zig Day organizers have to follow in order to be able to brand their event as a Zig Day.
So my advice (i.e. not a rule) is to deliberately try to limit the number of discussions about LLMs at Zig Days. We’re all being affected by what’s happening in the industry in 2026, and it’s totally fair to want to share thoughts and doubts with other people about what’s going on, but LLM-related discourse lately has been sucking all the air out of the room, leaving no space for other exchanges.
Zig Days are somewhat rare occasions to get together with other people who love thoughtful software engineering, don’t waste an opportunity to talk about data structures, algorithms, and approaches to problems that you’ve never seen before.
Additionally, I would also recommend limiting LLM usage during Zig Days. If you have a question, first see if there’s somebody in the room who can help you with it. Similarly, do the coding by hand. Don’t waste all the learning opportunities that you’re getting on an agent that will learn nothing at best, and that will become more effective at doing Amodei’s bidding at worst.
When you had a question at work in the past, you would be encouraged to ask your colleagues, while now these human interactions are being replaced by “just ask the AI”. Similarly, when you were handed a task near the edge of your ability in the past, you had to take your time to learn how to do it, while now you’re just being told to have the LLM quickly slop it up, leaving you with fewer learning opportunities.
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