Measuring ROI

Pilots are only impactful if they drive value and highlight the art of the possible. For most engineering leaders, "how do we measure ROI?" remains the top question to answer when it comes to driving wider adoption.

Beyond simply measuring lines of code (which is a notoriously spotty metric), teams are finding both quantitative and qualitative ways to quantify agentic coding's impact:

Sprint throughput: Teams with mature DevOps practices correlate agentic coding adoption with feature delivery speed

Time-to-completion: Track how long standard tasks take before and after adoption

Migration acceleration: Reduced time to migrate off legacy codebases onto modern systems

Developer satisfaction surveys: Reduced time spent on repetitive tasks and increased time spent on more thoughtful design work

Onboarding speed: Increased time to productivity for new hires

Cross-team collaboration: Less reliance on developers to prototype and test products before deployment

Additionally, Claude Code comes baked with its own productivity metrics tracking via Activity Metrics. Insights include:

Lines of code accepted: Track the actual code volume that developers are accepting and using from Claude Code

Suggestion accept rate: Understand how well Claude Code's suggestions align with your team's needs

Activity trends: Monitor daily active users and sessions to see adoption patterns

Spend tracking: View organization-wide and per-user spending with daily granularity

Team insights: See individual developer metrics including avg daily spend and lines per day

At the end of the day, the most compelling metric might be the simplest, i.e.: "This task used to take our team a week. Now one engineer completes it in half a day."