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Trunk

Trunk: AI-powered CI reliability platform to eliminate flaky tests and merge bottlenecks.

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Introduction

Overview

Trunk is a comprehensive CI Reliability Platform designed to streamline the software development process by eliminating flaky tests, reducing merge bottlenecks, and providing AI-powered insights into CI failures. It aims to keep your Continuous Integration pipeline green, allowing development teams to merge code faster and with greater confidence.

What is Trunk?

Trunk acts as an intelligent layer over your existing CI/CD infrastructure. It automates the detection, quarantine, and elimination of flaky tests, which are a common source of developer frustration and delays. By analyzing test failures, Trunk provides actionable insights and summaries, helping teams pinpoint the root cause of issues more efficiently. Its advanced merge queue further protects the mainline branch, ensuring stability and smooth integration of new code.

Key Benefits

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Eliminate Flaky Tests: Automatically detect, quarantine, and fix flaky tests to prevent them from blocking developers and slowing down CI.

Speed Up Merges: Utilize an advanced merge queue to protect your mainline and ensure efficient code integration.

AI-Powered Debugging: Leverage AI to understand the root cause of CI failures, reducing debugging time significantly.

Enhance Developer Experience: Provide developers with clear insights, automated ticketing, and integrations with their favorite tools (GitHub, Slack, Linear, VSCode).

Improve CI Stability: Maintain a consistently green CI pipeline, leading to more reliable releases.

Main Features

The platform offers several standout features:

Automated Flaky Test Management: Detects, quarantines, and helps eliminate flaky tests with features like test summaries in PRs and Slack/Linear integrations.
AI-Powered Failure Analysis: Provides inline annotations on GitHub PRs and Slack notifications with root cause summaries for failed tests and CI jobs.
Advanced Merge Queue: Protects the mainline branch with a hyper-efficient merge queue, reducing merge times from minutes to seconds.
Integrated Ticketing: Connects with Linear or Jira to automatically create and update tickets for test failures.
CI Health Dashboard: Offers insights into CI performance trends, flaky test impact, and broken CI alerts.
Seamless Integrations: Plugs directly into GitHub PRs and Actions, integrating with existing dev tools like VSCode and Slack.

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Frequently Asked Questions

Claude Powered

Y Combinator

VC Backed

Desktop App

Collaboration Features

Freemium

Web App

Product Information

Pricing Model

💰 Paid

Supported Platforms

Web

Supported Languages

English

Key Features

🧪

Automated Flaky Test Management

Automatically detect, quarantine, and eliminate flaky tests to prevent CI pipeline disruptions.

💡

AI-Powered Failure Analysis

Leverage AI to analyze CI failures, providing root cause summaries and inline annotations on GitHub PRs.

🚀

Advanced Merge Queue

Protect your mainline branch with a hyper-efficient merge queue, significantly reducing code integration times.

🎫

Integrated Ticketing

Connects with Linear or Jira to automatically create and update tickets for failed tests, streamlining issue tracking.

📊

CI Health Dashboard

Gain insights into CI performance, flaky test impact, and broken build alerts with a dedicated dashboard.

Pros & Cons

Pros

Significantly reduces time spent on flaky tests and CI debugging.
Improves CI stability and merge efficiency.
Provides valuable AI-driven insights into test failures.
Offers seamless integration with existing developer tools.

Cons

Requires integration with existing CI/CD pipelines.
May have a learning curve for complex configurations.

Use Cases

1Automating the detection and quarantine of flaky tests in a CI pipeline.
2Speeding up code merges by using an advanced merge queue.
3Debugging CI failures faster with AI-powered root cause analysis.
4Improving overall CI/CD pipeline reliability and stability.
5Integrating CI failure notifications and ticket creation with tools like Slack and Linear.

Who Should Use This?

👤DevOps teams
👤DevEx teams
👤Development teams
👤Software Engineers

Trunk