On-demand
Recorded September 2026
Signal vs Noise: Measuring what AI code review actually catches
Coding agents are writing more of your code. Someone has to review it, and more comments is not the same as more caught bugs. Watch CodeRabbit and Futurum Group in a data-backed session on measuring what an AI code reviewer really contributes.
What you'll learn
- 01How to separate review signal from noise: precision, recall, and what they mean on real PRs
- 02What changes when the code author is an agent, not a person
- 03A framework for evaluating AI code review tools before you standardize on one
Speakers
Sahil M BansalSenior Product Manager, CodeRabbit
Mitch AshleyVP & Practice Lead, Software Lifecycle Engineering, The Futurum Group