Part 2 of my series on quantifying AI's impact is up. This one's about measuring delivery speed and comparing approaches:
As I talk to engineering leaders, I’m seeing *order-of-magnitude* differences in spending. Should you spend thousands per person per month on hands-off agentic coding? Or hundreds on analysis and fancy auto-complete?
It depends on the outcomes.
You can’t pick the right approach to AI without knowing what you’re getting for your money, and with so much money on the table, you can’t afford to half-ass this. So how do you measure it?