Talk
Your AI Coding Bill Isn’t the Problem
AI coding tools make it easy to track tokens, licenses, and model spend. The harder question is what that spend actually produces. In this session, Emilie Schario, VP of Engineering at Anaconda and Co-Founder of Kilo Code, introduces AI Cost to Ship, a metric that connects AI spend with merged pull requests, and explores how leaders can use it alongside adoption, quality, and model choice to understand whether AI investment is translating into shipped engineering output.
Emilie Schario, Anaconda
- Startup Studio · In-person