Fully Automated Luxury Gay Space Engineering
Autocomplete is *so* 2023. Chatbots were already tedious by 2024. Running agents locally was cool... back in early 2025.
The future of engineering doesn’t have a human in the coding loop at all.
When it’s within the AI’s — rapidly growing — capabilities, *you* are the bottleneck in shipping code. How many PRs can you review? How many Claude terminals can you monitor at once before you lose your mind?
I’ll talk through our experiences building a fully automated maintenance loop at Stile Education, where we’re scaling from 600k students in Australia to 6M across the US over the next 24 months. Issues from production are monitored, aggregated, ticketed, fixed, (increasingly) reviewed, and deployed without human involvement. Explain our conceptual models of how to build these systems, and highlight our hard won mistakes and lessons along the way.
Then, I’ll fumble awkwardly towards the broader implications for our industry: What does it look like to step back and engineer a system that produces software, rather than being a cog in that machine directly? How do we all begin to work *on* the business rather than working in it?
Daniel Rodgers-Pryor
Daniel’s academic background in Condensed Matter Physics designing AI chips gave him a passion for promoting scientific literacy and the skills to manage complex computing systems. Daniel joined Stile in 2014 and stepped into the role of CTO in 2017. Since 2025, Daniel has led the Stile AI Lab as a division of Curriculum Associates.