AI Impact analytics

Tier: For a limited time, Ultimate. On October 17, 2024, GitLab Duo Enterprise. Offering: GitLab.com, Self-managed
History

AI Impact analytics displays software development life cycle (SDLC) metrics for a project or group in the month-to-date and the past six months.

Use AI Impact analytics to:

  • Measure the effectiveness and impact of AI on SDLC metrics.
  • Visualize which metrics improved as a result of investments in AI.
  • Track the progress of AI adoption.
  • Compare the performance of teams that are using AI against teams that are not using AI.

For a click-through demo, see the AI Impact analytics product tour.

AI Impact metrics

AI Impact analytics displays key metrics and metric trends for a project or group.

Key metrics

  • GitLab Duo seats: Assigned and used: Percentage of assigned licensed seats that have used at least one AI feature in the last 30 days.
  • Code Suggestions: Unique users: Percentage of users that engage with Code Suggestions every month. It is calculated as the number of monthly unique Code Suggestions users divided by total monthly unique contributors. Only unique code contributors, meaning users with pushed events, are included in the calculation.
  • Code Suggestions: Acceptance rate: Percentage of code suggestions provided by GitLab Duo that have been accepted by code contributors in the last 30 days.

The Metric trends table displays metrics for the last six months, with monthly values, percentage changes in the past six months, and trend sparklines.

View AI Impact analytics

Prerequisites:

  1. On the left sidebar, select Search or go to and find your project or group.
  2. Select Analyze > Analytics Dashboards.
  3. Select AI impact analytics.