Here are some key findings:
- Nearly 90% of enterprise teams now use AI in the development lifecycle, making adoption universal rather than differentiating
- AI-driven coding reduces time to pull request by up to 58%, but AI-generated pull requests wait 4.6x longer in review without governance
- AI-generated code introduces 15–18% more security vulnerabilities, increasing risk as autonomy expands
- Senior engineers realize nearly five times the productivity gains of junior engineers, widening the execution gap
- 21% of AI licenses remain underutilized, limiting ROI as organizations scale agentic workflows
Download your copy of 2026 AI Coding Impact Benchmark Report to see where agentic AI delivers real delivery acceleration, where it creates hidden risk, and what separates elite DevOps organizations in 2026.
