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.

A walkthrough of a real session where two developers and their AI agent teams collaborated on a complex architectural change — going
from a rough spec to 8 PRs, 4,500 lines of code, and a clean task board in a single day.

The talk covers how we used git worktrees as a shared context surface between two developers' Claude Code agents, spawned specialist
subagents (including a Redis expert that caught two critical production bugs during design review), ran parallel implementation
across multiple branches, and coordinated via a dedicated agent that polled for commits and monitored Slack and CI.

The focus is on the collaboration model — not the technical feature itself — and what the human's role becomes when AI agents can
read, write, test, and coordinate autonomously.

Chat interfaces are everywhere, but what challenges are there to overcome to create a truly joyful user experience? In this talk, we’ll explore the key problems and solutions across the entire stack: from the tools you can give your agent to better respond to real human behaviour, to the underlying infrastructure and optimisations required to handle client disconnects, cancellations, and multi-device usage gracefully.

What if an AI agent could customize its own UI outside the chat and update it on the fly? As humans, some tasks that we work on are better done visually than in text format. That's why I started this experiment, where I give an agent a skill and teach it how to work in a highly visual workspace it can extend and update with custom UIs. I'll walk you through how we designed a skill, a CLI, and a front-end app that work in tandem to make it possible. How we spent weeks figuring out the best and most minimal design system an agent can use to generate "slop-free" designs. The project is completely open-sourced and available on https://moi.computer/