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Analysis of 27 companies examines AI spending and software-engineer output

newsletter.pragmaticengineer.com by Gergely Orosz 11 min read Editor score 6/10

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.

What

An analysis of 27 companies examines AI spending and software engineers’ pull-request output.

How

CodeRabbit data showed weekly PRs rose 113%; the report also shares spending patterns and says few companies can answer the ROI question.

Why it matters

Engineering teams can compare AI costs with a readily available output measure, while recognizing that the return remains unclear for many companies.

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Headline, summary, brief and diagram are written by a model from the source's own text; the link, byline and numbers come from the source. Read the original before relying on a claim.