Augmented Coding is more than just asking an AI to help you write code.

You externalize your decision points, heuristics, and workflows into artifacts the agent can follow. The agent becomes your mentee.

As you do that, you change your focus from low-level details to high-level intent and methodology. Decisions that were unconscious become explicit.

In this talk, I’ll share my story of how I learned to teach AI a Software Crafter’s approach to development.

The agent follows a rigorous TDD process with 121 unique nodes and 131 directed edges that can run autonomously for hours, creating dozens of commits.

It covers advanced context engineering and techniques to increase autonomy while aiming to maintain quality.

And I will tell real stories of AI-enabled breakthroughs in real-world product development.

They hired me to add features. The codebase had less than 1% test coverage. Azure was retiring .NET 8, but upgrading seemed too hard, so they'd waited years. The kind of problems you know you should fix but never do.

Four weeks later: 560 commits, 65% test coverage, 13 database improvements, and yes, we shipped features too. Two programmers, four hours a day, one $17/month Claude subscription.

Here's what nobody tells you about AI: Day one, it took us eight hours to fix one nullable reference. Week four, I did fifty in under an hour with five minutes of my time. We didn't get faster because AI got smarter. We got faster because we built the infrastructure—scripts, CLIs, knowledge docs—that let AI scale what we'd already figured out.

This is a field report on what's actually possible when you stop thinking "AI makes me faster" and start thinking "AI lets me solve problems that used to be too expensive to touch."

Come see how we got a codebase under control.

Let's build an Exploratory Tester with AI. We have the ability to harness AI in ways we never could before. You have code, projects, or websites that you need to discover potential issues, blind spots, or even vulnerabilities in. Can you have AI do that? Can you build things that find things that you don't even know you don't know? Let's explore it together.

What does it take to turn a from-scratch JavaScript engine into production software?

Johannes will go into detail on spec conformance, CI and benchmarking infrastructure, and how to catch regressions before they happen. There will also be live demos of what you can build when you can shape the entire runtime, plus a closer look at the corners of JavaScript most of us never have to think about.

Johannes has spent his professional career working on JavaScript across web, mobile and backend solutions. With agentic engineering, he has been looking for more complex and sophisticated projects to use AI with.