In massive monorepos, slow feedback loops can make even the smallest changes expensive and time-consuming. A simple feature update can trigger long CI pipelines, unrelated test failures, unclear ownership problems, or unexpected breakages among many other issues. As teams and systems grow, the “fail fast” mindset has to be applied to more than just the testing strategy.

This talk explores how feature driven architecture can help teams create faster and more meaningful feedback loops in large monorepos. It will discuss how to create clear feature boundaries, dependency-aware CI, affected builds, caching, architecture checks, and public API rules in order to support the developers catch problems earlier without validating the entire repository on every change.