Valuable codebases grow over time. But beneath the relentless addition of shiny new features is the inevitable counterpart: growth in time required to build and test the code. Left unchecked, build and test growth can easily become a developer productivity hazard, impacting delivery velocity, innovation, and developer happiness.

Join us as we explore the techniques that enabled the Jamf team to make 23% improvement year-over-year in build & test times for our flagship product (a million+ LOC monorepo), while supporting 10-15% growth across all other measures in the codebase. See how we measure the ROI on productivity engineering, making the case for continued investment. Topics include remote build cache, Predictive Test Selection, and Test Distribution, the impact of each and a discussion of problems and solutions along the way.