AI Coding Tools Double Software Output While Quality Holds
Jellyfish released a benchmark analyzing more than 700 companies, 200,000 engineers and 20 million pull requests, finding median AI tool adoption at 63% and 64% of companies generating a majority of their code with AI. Top adopters (75–100% of engineers using AI three or more days per week) merged 2.2 pull requests per engineer weekly versus 1.12 at low-adoption firms, while revert rates rose only modestly from 0.61% to 0.65% and autonomous agent–opened pull requests climbed among high adopters.
Scoring Rationale
Large, real-world engineering dataset supports high impact; limited methodological depth and company bias reduce certainty.
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Sources
- Read Original'A rocket ship.' AI is doubling software output, and code quality is holding upbusinessinsider.com
