2026 Sessions
Opening Remarks & Keynote
Opening remarks followed by:
Keynote By Brian Hogan
Teach Your AI to Code Like You: A Hands-On Setup Workshop
You’ve spent years mastering how to design, debug, and build software. Your AI coding assistant has no idea. In this hands-on workshop, you’ll teach it to work the way you work, and leave with a setup you can use Monday morning.
Speaking C
When picking the best tool for the job why limit yourself to only one? How to build multi language apps with live demos and examples.
Building an Independent Search Engine That Beats Google (Maybe)
UWEC Student Association for Computing Machinery
We built an independent search engine with its own high-performance web index using web scrapers. The talk will walk through the whole engineering outline of our project, from the policy of our web scrapers, to the networking of our Kubernetes cluster, to the high capacity postgresql database that stores the data for millions of website pages.
Vision on the Fly - Computer Vision On The Web
When playing Counterstrike I challenged myself to create a bot that used only vision to play the game. Working on building computer vision showed me the interesting problems with building real-time solutions.
Lunch
Erbs & Gerbs sandwhiches with chips
Panel: IT EDUCATION DEATHMATCH
This gameshow will decide once-and-for-all which kind of IT education is best! Five different kinds of educators will compete in a bloodthirsty head-to-head competition where they will answer questions about how they approach educating their students/stakeholders:
Build Your Own Private ChatGPT: Local AI with Docker, Ollama, Open WebUI, and ZImage Turbo
Everyone is experimenting with AI — but most organizations are sending sensitive data to third-party cloud services without fully understanding the tradeoffs.
What if you could run your own private ChatGPT-style system locally (and even hook up additional agents and management systems like OpenClaw)?
AgentOps for Real: Evals, Tracing, and Regression Tests for AI Agents
Shipping an AI agent without observability is like deploying a distributed system with no logging. Learn how to implement evals, tracing, and regression testing so your agents don’t quietly degrade into chaos.
How I used the Avengers to build a golf coaching AI to win the 2030 Masters
This talk is about how to use an agent development tools with a multi-git checkout multiple folder approach for agent management. The talk covers the building of a real world and deployed tool built using agentic tools both for development and part of the shipped product.
