​Everyone's demoing agents that write code. Almost nobody shows you what breaks when you let one loose on your repo. Two builds, two honest reports, zero hype. 📅 **Date:** Thursday, October 22 ⏰ **Time:** 18:00-20:30 PM 📍 **Location:** Tessl AI Limited, 210 Pentonville Rd, London N1 9JY, United Kingdom ✍️ Limited spots so make sure you grab yours! 🖇️ ​Agenda * ​18:00 Venue opens * ​18:30 Talk 1: **A Software Factory Build Report: What Worked, What Broke, What I'd Do Again** by Simon Maple * ​19:00 Talk 2: **Harness Engineering is not new** by Carly Richmond * ​19:30 Networking with pizza and drinks * ​20:30 THE END 🗣️ **Talks** *​**Talk #1 A Software Factory Build Report: What Worked, What Broke, What I'd Do Again*** ​In this session I'll present a full, honest account of building an autonomous issue-to-PR factory for my open-source project. I'll cover how I built a factory in layers, the decisions that paid off (versioned review lenses, deterministic gates), and the ones that cost me. I'll show where autonomy earned trust and where a human still has to step in, and how the developer's job quietly shifted from writing code to architecting changes the pipeline can execute via issues. The goal is to give you a realistic build plan, with potholes marked, so you can follow the same route with fewer scars. ​**Simon Maple, Developer Relations at Tessl** ​Simon Maple is the Head of Developer Relations at Tessl, and AI Native Dev co-host. Previously, Simon was the Field CTO, and VP Developer Relations at Snyk, ZeroTurnaround, and IBM. He became a Java Champion in 2014, JavaOne Rockstar speaker in 2014 and 2017, Duke’s Choice award winner, Virtual JUG founder and organiser, and London Java Community co-leader. ***Talk #2 Harness Engineering is not new*** ​Prompt engineering. Context engineering. And now Harness engineering. We love acronyms in the AI ecosystem. Yet much of the differences between context and harness engineering lies in practices, with a few tweaks, that we w

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