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AI Coding Impact 2026 Benchmark Report
New benchmark research analyzing 250,000+ developers across 60+ enterprises reveals how AI coding tools including GitHub Copilot, Cursor, and Claude Code are reshaping developer productivity, software delivery velocity, and engineering ROI in 2026.
- AI reduces time-to-PR by up to 58%, but AI-generated pull requests wait 4.6x longer in review and introduce 15-18% more security vulnerabilities
- Senior engineers capture nearly 5x the productivity gains of junior engineers, exposing a widening execution gap across AI-enabled teams
- 21% of AI coding licenses go underutilized. Discover what separates high-ROI agentic AI programs from stalled ones
What’s Inside?
Hard Data On AI Impact
Understand how AI improves productivity and quality while reducing security and maintainability. See where delivery bottlenecks negate faster development. Learn how to connect AI adoption to measurable outcomes and ROI.
90% of teams use AI daily. Results are mixed
See how high-ROI organizations are balancing the right tools with adoption and process to capture maximum value from AI investments. With industry-specific detail because what works in a regulated industry may not be optimal in a different context.
Tool Choice Matters.
Learn how capability and exposure change as teams move from autocomplete to agentic approaches, and how to build a successful, measurable AI strategy that scales with your maturity.
Download your free copy