Deep dive
Analysis of 27 companies examines AI spending and software-engineer output
The analysis draws on 27 companies to compare AI-tool spending with changes in pull-request throughput before and after adoption. It offers a measurement frame for engineering leaders assessing productivity claims, though the excerpt gives no findings.
- WhatAn analysis of 27 companies examines AI spending and software engineers’ pull-request output.
- HowCodeRabbit data showed weekly PRs rose 113%; the report also shares spending patterns and says few companies can answer the ROI question.
- Why it mattersEngineering teams can compare AI costs with a readily available output measure, while recognizing that the return remains unclear for many companies.
