Data Scientists - Is Blue Code a Red Flag?

Matthew Lassler: We were working on with a client and we need to make architectural choices. He says clear architecture came in as an escape tool, because it means the data scientists doesn't need to know how they work. What's your opinion on blue code? Should it be avoided entirely or should data scientists do use its institutions where they can? And another question again, what role have you seen ML testing play in reducing technical debt? There is no technical debt removal without refactoring and no refactoring without testing.