AGNTCon + MCPCon Europe 2026

We've all seen the AI coding demos. But what does it really cost to ship a production application with an AI agent, and how much time does it actually save?

This talk answers that with hard numbers from a real, open-source project: BootUI ( https://github.com/jdubois/boot-ui ), a multi-module Java project with roughly 40 deeply-integrated feature panels, an embedded Vue 3 console, ~83,000 lines of code, ~116 test suites, and a full release pipeline. It was built through a tagged 1.0.0 release in about 10 calendar days by a single developer driving the GitHub Copilot coding agent, at a sustained pace of ~20 merged pull requests per day.

Using git history, PR metadata, and code metrics, we reconstruct two timelines: what the project actually took with AI (~80-110 hours of human effort), and a grounded estimate of what the same scope would take a senior developer by hand (~6.5-8.5 months).

You'll leave with a realistic mental model of where AI coding delivers 10x-plus leverage on Java projects, where it doesn't, and the practices that let you safely accept high agent throughput.