Staying relevant and moving fast with 15 years of code, hundreds of developers, and no code reviews is a challenge.

In this talk I'll share how A/B experiments allow developers to move at top speed, staying relevant and adventurous - using machine learning models to experiment on different personalisation hypotheses but ultimately going where the experiments take us!

I will explain how a company of this scale can survive while testing in production, what can be the consequences, and what are the components you need to work (and succeed) this way.