Enterprise AI Measurement Guide
CI/CD
CI Success Rate / Cancellation Rate / Median CI Duration
How are CI Success Rate, Cancellation Rate, and Median CI Duration trending as AI coding tools increase pipeline volume?
What it shows
Three CI pipeline health metrics in a single card: CI Success Rate (the percentage of CI runs that pass), CI Cancellation Rate (the percentage cancelled before completion), and Median CI Duration (how long a typical CI run takes). Each has its own trend. Together they characterize the health and efficiency of the automated testing and build pipeline, the first gate AI-generated code must pass before reaching human review or deployment.
Why it matters
CI pipeline health is an early warning system for code quality problems at scale. If AI coding agents generate code that fails CI at higher rates than human-written code, the CI Success Rate will fall, and the engineering team will spend increasing time debugging CI failures rather than shipping features. A rising Median CI Duration alongside rising agent adoption suggests CI infrastructure isn't scaling with the volume increase agents create. Cancellation Rate above benchmark often indicates engineers are pre-emptively cancelling runs they know will fail, a behavioral signal that CI has become unreliable.
The Larridin angle
Larridin tracks all three CI metrics with trends, making it possible to see the direction of change alongside the current state. A 94% CI Success Rate that was 97% six weeks ago is a different operational picture from a 94% rate that has been stable for three months, and the trend is what determines whether investigation and intervention are needed immediately or can be addressed in the next planning cycle.
Related CI/CD Metrics
Common questions
What are the key CI pipeline health metrics tracked by Larridin?
Larridin tracks CI Success Rate, CI Cancellation Rate, and Median CI Duration, each with its own trend to assess the health and efficiency of the CI pipeline.
Why is the CI Success Rate important for AI-generated code?
The CI Success Rate indicates the percentage of CI runs that pass, and a decline may suggest that AI-generated code is failing more frequently, impacting overall code quality.
How can a high CI Cancellation Rate affect the development process?
A high CI Cancellation Rate often signals that engineers are cancelling runs they expect to fail, indicating potential reliability issues with the CI process.
What does a rising Median CI Duration imply?
A rising Median CI Duration suggests that the CI infrastructure may not be scaling effectively with increased volume, potentially slowing down the development pipeline.