Tinder's 1.5 million line codebase used to make builds painfully slow. To fix this, the team developed bazel-diff, an open source tool that identifies exactly which build targets are affected by a given change.
In this BoF, we'll discuss what it takes to build a fast, efficient CI system with Bazel and how it can lead to faster builds and leaner pipelines when combined with dynamic pipelines.

Topics may include how bazel-diff works in practice, ways to reduce unnecessary testing, managing large monorepos, and lessons learned from rolling this out in production.