Event Summary
Code generation tools can give one developer the power of five. While software engineers still need to design the algorithms, AI can now do 90% of the boilerplate, copy-and-paste style coding that eats up so much time. In this workshop, Edward Cates and Nathan Mandi, two Senior Machine Learning Engineers at KUNGFU.AI, will show you how to build beautiful websites with alarming speed through the use of Windsurf, an open-source AI-powered development environment (similar to Cursor AI). If you're a developer who hasn't yet tried adding AI to your workflow, this session is first and foremost for you!
What You'll Experience:
Lightning-Fast UI Generation: See a professional-quality front-end user interface generated in mere minutes.
Automated Backend API Creation: Watch as a functional backend API is created for real-world data utilization.
Ready to participate? Please come prepared by installing either Windsurf (free) or Cursor AI (paid with a free tier) on your system. Don't miss this opportunity to revolutionize your coding efficiency!
Moderators
Edwards Cates, KUNGFU.AI
Edward Cates was a Software Engineer for many years before getting a Masters in Machine Learning from Georgia Tech. He and three friends operated a freelance web app business while he got his degree in Electrical and Computer Engineer at UT Austin. Before joining KUNGFU.AI, Edward was the technical Co-founder of Grocery TV, which has advertising displays in over 5,000 stores across the country. Now, he’s fully focused on AI & ML, coupling his exhaustive software and deployment experience with the latest advances in deep learning.
Nathan Mandi, KUNGFU.AI
Nathan Mandi studied Electrical Engineering and Computer Science at UC Berkeley before joining the autonomous vehicle company, Cruise Automation, where he spent three years building core prediction algorithms, designing evaluation metrics, and training models. After a stint as an independent AI consultant, Nathan joined KUNGFU.AI, where he has worked across a wide range of machine learning domains and industries. He’s been especially focused on RAG and practical LLM tool development—well before the current wave of agentic AI hype. Nathan is also interested in climate tech, and AI for education.
Attendance Instructions
Online via Google Meet
Once you register via Eventbrite, you will receive the direct link in your confirmation email. You will also receive the link in a reminder email one day before the event.