Trunk

Trunk is a CI Reliability Platform designed to eliminate the hidden tax of an unreliable pipeline. It automates flaky test management and provides an intelligent merge queue, helping engineering teams at companies like Zillow, Faire, and Brex save thousands of hours and ship code with confidence. Positioned as an AI DevOps Assistant, Trunk brings industry-leading best practices to every repository, from hobby projects to large engineering organizations. It's an AI DevOps platform for reliable testing and CI, utilizing AI to manage and eliminate CI slowdowns, detect, quarantine, and eliminate flaky tests, and find the root cause behind failing tests and CI jobs. Trunk serves as an AI DevOps Agent for DevEx, DevOps, and Dev teams, ensuring CI remains green and incidents are responded to immediately. It also features an advanced merge queue for mainline branch protection and offers seamless integrations with existing development tools.

How to Use

To use Trunk, users typically integrate it with their existing CI/CD pipelines and development tools such as GitHub, Slack, Linear, and Jira. Once integrated, Trunk automatically begins to detect, quarantine, and manage flaky tests, analyze CI failures, and can be configured to use its intelligent merge queue. Users interact with Trunk through PR comments, Slack notifications, and dedicated dashboards to monitor CI health and address issues, leveraging AI for root cause analysis and automated fixes.

Key Features

• Automated Flaky Test Management (Detect, quarantine, eliminate)
• Intelligent Merge Queue (Protect mainline branch, hyper-efficient)
• AI-powered CI Failure Analysis & Debugging (Root cause, inline annotations, Slack notifications)
• CI Autopilot (Automatically fix CI failures, stacked PRs)

Use Cases

• Improving CI reliability and performance by eliminating flaky tests.
• Automating the detection and fixing of CI failures to reduce debugging time.
• Streamlining code merging with an intelligent merge queue to protect mainline branches.
• Saving engineering hours by reducing manual test management and incident response time.
• Bringing industry-leading DevOps best practices to engineering teams of all sizes.