Agents who code and Generative UI - AI Native Engineers London Meetup

Hosted by

AI Native Engineers London

In-Person

Address available to attendees

Ready to join in on the fun?

Hello early adopters,

We’re back with the new AI Native Engineers London meetup on May 28. Previous edition been focused on Claude Code power users, this time we go broader, but still aim to gather attendees with day-to-day AI agentic coding experience and engineers experimenting (or shipping) generative UI's.

🗣 Call for Proposals
Have an idea or story to share? Submit your talk proposal through our CFP form and take the stage at one of our upcoming meetups!

🕑 Event Schedule
18:00 - Doors open
18:30 - Intro and announcements
18:40 - The Worktree Swarm: 2 Humans, N Agents, 8 PRs, 1 Day - Sam Winstanley
19:05 - Beyond Components: Designing Generative UI for MCP Apps - Ruben Casas
19:30 - Break with drinks
19:45 - Open Mic/Demo talks - demo your AI engineering workflow, insights and gotchas from practical production experience, or show off your open source project:

Orta Therox on Claude Design

Mingle until 21:00 and then visit to a local pub

🤝 Organized by
This event made possible thanks to the support from AI Coding Summit organizers – GitNation

🤝 Hosted by
Kudos to our friends Monday.com
Streamline workflows across projects, CRM, IT, and development and gain clear visibility to make strategic decisions with confidence.

👍 Code of Conduct
By registering for this event you agree to comply with our CoC

📩 Contact
events@gitnation.org

Presentations

Sam Winstanley

The Worktree Swarm: 2 Humans, N Agents, 8 PRs, 1 Day

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.

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