Every strategy for surviving the flood of machine-written pull requests optimizes the same thing: catching bugs. The research on code review says catching bugs was never the job it was best at.
Every strategy for surviving the flood of machine-written pull requests optimizes the same thing: catching bugs. The research on code review says catching bugs was never the job it was best at.
Software teams generate an ocean of numbers — commits, tickets, story points, lines of code — yet the thing we actually care about, performance, stubbornly resists measurement. This post is about that gap: why individual output is so easy to misjudge, what signals are worth watching, and how to measure teams without corrupting the very behavior you want.
A tour of the metrics that describe how software teams actually perform — grouped by what they measure: delivery, reliability, productivity, frontend performance, quality, and agile process. What each one means, when it's useful, and how it goes wrong.