Overview
The Cursor Metrics Dashboard provides visibility into Cursor AI adoption, developer productivity, coding activity, token consumption, request volumes, and AI-assisted development impact across engineering teams. It enables organizations to measure how effectively Cursor is being utilized and assess its contribution to software development efficiency. The dashboard is designed for engineering leaders, platform administrators, and development teams who need to monitor AI coding adoption, usage trends, and return on investment.Cursor Key Metrics
What is it?
A summary section displaying high-level Cursor AI usage and productivity metrics for the selected reporting period.Why is it important?
Provides a quick overview of developer engagement, AI coding activity, usage volume, and operational costs without requiring detailed chart analysis.Where does it exist?
Top section of the Cursor Metrics Dashboard.Metrics Included
Total Active Days Displays the total number of days during which Cursor activity was recorded within the selected period. Average Daily Active Users Displays the average number of users actively using Cursor per day. Peak Daily Active Users Displays the highest number of users active on a single day during the selected period. Total Requests Displays the total number of AI requests submitted through Cursor. Total Tokens Displays the total number of tokens processed by Cursor AI requests. Total Cost (USD) Displays the estimated total cost associated with Cursor AI usage.Use Cases
- Monitor Cursor adoption across engineering teams
- Track developer engagement trends
- Measure AI coding activity levels
- Monitor token consumption and costs
- Evaluate overall platform utilization
AI Code Changes Trend
What is it?
A time-series chart displaying AI-assisted code changes over the selected reporting period.Why is it important?
Provides visibility into how Cursor contributes to code creation and modification by tracking AI-generated code additions and deletions.Where does it exist?
Middle section of the dashboard below the KPI cards.Metrics Included
Lines Added Displays the number of code lines added through AI-assisted development activities. Lines Deleted Displays the number of code lines removed through AI-assisted development activities. AI Lines Added Displays AI-generated lines that were accepted and incorporated into the codebase. AI Lines Deleted Displays AI-generated lines that were later removed or modified. Lines Percentage Displays the percentage contribution of AI-generated code relative to overall code activity.Use Cases
- Measure AI contribution to software development
- Monitor code generation activity
- Analyze code modification patterns
- Track engineering productivity trends
- Evaluate AI-assisted coding effectiveness
Development Activity Trends
What is it?
A historical trend analysis of Cursor usage activity across the selected reporting period.Why is it important?
Helps teams understand how AI-assisted development activity evolves over time and identify periods of increased or decreased engagement.Where does it exist?
Within the AI Code Changes Trend section.Use Cases
- Analyze long-term adoption trends
- Monitor engineering activity levels
- Identify productivity spikes
- Measure growth in AI-assisted development
Controls and Filters
What is it?
Interactive controls used to customize dashboard data and reporting views.Why is it important?
Allows users to analyze Cursor metrics across different projects and time periods.Where does it exist?
Top section of the dashboard.Features
Project Filter Allows users to select a specific project and view Cursor metrics associated with that project. Date Range Filter Allows users to define a custom reporting period. Quick Time Filters Provides predefined reporting windows such as:- 7 Days
- 15 Days
- 90 Days