The state of AI in software development: Insights across 400+ organizations
summary
Quarterly data from 460+ companies and 190,000 engineers shows 93% adoption with shadow AI pushing that higher, regular users saving ~4.7 hours/week and daily users shipping 60% more PRs, while up to 27.4% of merged code is AI‑authored in top adopters. Quality effects vary wildly by company (some ±20% change confidence), enterprises lead adoption, Rust surges after model fixes, and case studies show tangible builds: Morgan Stanley’s DevGen AI and Zapier cutting onboarding to two weeks.
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chapters (13)
- 0:00AI impact on productivity
- 1:30Study methodology
- 3:36AI adoption trends
- 6:23Quality metrics volatility
- 9:54Usage by seniority and size
- 13:25Shadow AI risks
- 15:53Top tools and gains
- 17:59AI for onboarding
- 19:03Manager productivity shifts
- 20:47Cross-functional AI adoption
- 21:51PR throughput impact
- 23:32SDLC optimization
- 24:57AI success stories
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