Team Performance

How much engineering output each person produces, what share is AI-assisted, and what that output costs.

• Output per Engineer How do we measure whether AI coding tools are actually increasing the engineering output our team produces, rather than just increasing the number of commits or PRs?
• Output by Category What proportion of our engineering team's AI-assisted output is going toward new features versus maintenance work, and is AI investment changing that mix over time?
• AI Output Share / AI PR Share Is AI coding producing a proportionate share of our engineering team's most complex and valuable work, or is it handling the simpler tasks while humans carry the heavier PRs?
• Prompt Quality How good are our engineers at prompting AI coding tools, and how much productivity are we leaving on the table because of gaps in prompting skill rather than gaps in tool capability?
• Cost per Output Is our AI coding tool investment making our engineering team more cost-efficient over time, or are costs rising as fast as, or faster than, the productivity gains?