AI Lab: The secrets to keeping machine learning engineers moving fast

What this post added

Introduced AI Lab, a pre-production framework for continuously A/B testing common ML workflows to minimize Time to First Batch (TTFB) and prevent regressions. AI Lab uses an auto-shrinker to reduce compute resource consumption for tests and integrates with Incident Tracker for regression attribution. It was instrumental in achieving a 2x increase in TTFB improvements for the Python Cinder runtime and preventing an unrelated blocking regression during its rollout.