Trunk

4.50

RATING

964 M+

EXPOSURE

About this tool

Name

Trunk

Category

tools

Trunk is a CI Reliability Platform that eliminates the hidden costs of unreliable pipelines. It automates flaky test management, provides an intelligent merge queue, and helps engineering teams ship code confidently. Serving as an AI DevOps assistant, Trunk detects, quarantines, and resolves CI failures, identifies root causes, and ensures mainline branches remain stable. Trusted by companies like Zillow, Faire, and Brex, Trunk integrates seamlessly with existing development tools, bringing industry-leading best practices to projects of any size and keeping CI fast, reliable, and incident-free.

Ratings and Reviews

CI is finally reliable

4.70

Trunk has eliminated flaky tests in our pipelines. We now merge confidently without worrying about breaking mainline code.

June 15, 2025

Alex Thompson

Saves huge amounts of time

4.60

Automating flaky test management has saved our team countless hours. The merge queue is a game changer for mainline stability.

July 8, 2025

Rachel Nguyen

Essential for dev teams

4.50

Our team struggled with CI reliability before Trunk. Now incidents are detected and resolved quickly, making deployments stress-free.

May 29, 2025

Daniel Kim

Good tool but setup takes time

3.90

It works brilliantly, though configuring all integrations and pipelines initially took some effort. The results are worth it.

August 21, 2025

Sophia Patel

AI DevOps at its best

4.60

Trunk’s AI insights for failing tests are extremely helpful. It feels like having a dedicated CI engineer constantly monitoring the pipeline.

September 3, 2025

Michael Rossi

How to use

Sign up for Trunk and connect your repository to enable CI monitoring Configure your project settings to detect and quarantine flaky tests automatically Use the intelligent merge queue to manage mainline branch updates Monitor failing tests and CI jobs through the Trunk dashboard with AI-powered insights Integrate with your development tools to continuously optimize CI reliability and response time

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