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"finding": "Developers using AI coding tools completed tasks 26–40% faster on average compared to control groups, with the largest gains observed in boilerplate-heavy codebases.", |
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"finding": "Code review time increased by 15% in teams that adopted AI tools without explicit review guidelines, suggesting AI-generated code requires additional scrutiny.", |
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"finding": "Junior developers (< 2 years experience) showed greater productivity gains than seniors but also produced code with significantly higher defect rates when using AI without oversight.", |
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"significance": "high" |
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"finding": "AI tool adoption had no statistically significant effect on overall developer job satisfaction scores across 14 of 18 sub-scales.", |
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"finding": "Teams that trained developers on effective prompting strategies saw 18% better outcomes than teams with unguided adoption.", |
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"finding": "Usage patterns stabilized after 6–8 weeks, with a bimodal split between high-adopters (> 60% of tasks with AI) and low-adopters (< 20%).", |
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"Establish explicit AI review guidelines before team-wide adoption to prevent quality regression", |
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"Monitor junior developer code quality separately when AI tools are introduced; pair with mentorship", |
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