About this session
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.
What you’ll take away
- Connect AI spending with shipped engineering output.
- Explore AI Cost to Ship alongside adoption and quality metrics.
- Ask better questions about the return on AI coding tools.
Speaker
Emilie Schario
VP Engineering · Anaconda
Emilie Schario is VP of Engineering at Anaconda and co-founder of Kilo Code. At Ship, she introduces AI Cost to Ship, a way to connect AI spending with merged pull requests, and examines how engineering leaders can evaluate adoption, quality, and shipped output together.