Fix flaky tests and CI failures, fast

AI-powered suggestions and fixes for broken CI and flaky tests, right in your PRs.

Root cause CI failures

Detailed comments on what is broken and suggested fixes.

Automate flaky test fixes

Historical test run data is parsed to find and fix flaky test failures.

Share info that is actually helpful

Track progress with automated Slack notifications and Linear tickets.

AI-powered DevOps for any development team.

Integrate directly with Slack and Linear. Supports any language, framework, or CI provider.

Spend less time debugging

Detailed root cause messages and suggested fixes save you time normally spent debugging.
Easier to tackle and fix failures

You don’t need an intimate knowledge of the entire application stack to find and fix failures.
Fewer distractions, fewer context switches

Fixing flakes and failures fast means that you can focus on writing code and building features.
Green = good

Developers are happy when CI is green!

Integrations

Trunk integrates with all the technologies
you’ll ever need.

A note from our founder

Our agent is excellent at automating DevOps tasks and pinpointing root causes of test failures in CI. It’s also excellent at costing us a small fortune. We’re granting beta access slowly as we optimize performance and manage costs.

We promise it’ll be worth the wait!

David ApirianFounder @ Trunk

FAQs

What is Test Insight Analysis?

Test Failure Insights helps you spot trends and resolve issues faster by surfacing the why behind test failures. It analyzes patterns in test outcomes across your CI pipeline to uncover recurring failures, flakiness, or slowdowns.

How is Test Insight Analysis different from basic test reporting?

Traditional test reports just show which tests passed or failed. Test Insight Analysis goes deeper—it finds patterns, groups related failures, and highlights problem areas across time, teams, and branches.

Why does Test Insight Analysis matter for modern development teams?

When you're shipping code daily, test failures can slow down releases. Test Insight Analysis helps your team debug smarter by reducing noise, identifying flaky tests, and focusing on high-impact fixes.

Can Test Insight Analysis detect flaky tests?

Yes. By spotting inconsistently failing tests behavior over time, flaky tests can be quarantined, fixed, or prioritized—without wasting time on false alarms. Test Insight Analysis also plugs directly into Trunk Flaky Tests, automatically detecting and quarantining flaky tests before they block your team.

How does Test Insight Analysis help with slow or inefficient tests?

Test Insight Analysis surfaces slow-running tests and pinpoints what’s causing bottlenecks—like external calls, test bloat, or resource contention—so you can optimize your suite.

What is Root Cause Analysis (RCA) and how does it relate to Test Insight Analysis?

Root Cause Analysis (RCA) is a technique for identifying the underlying cause of a test failure. Test Insight Analysis builds on RCA by using AI to automatically group failures and trace them back to their origin—making RCA faster, more accurate, and scalable.

Does Test Insight Analysis require changes to my tests or CI config?

No major changes are needed. Test Insight Analysis works with your existing setup and CI tools. For best results with test failures, upload JUnit XML files which the Agent can analyze more effectively. The system will fall back to parsing CI logs.

What kinds of tests does Test Insight Analysis support?

It supports all kinds of tests: unit, integration, end-to-end, UI, API, and even custom scripts. The tool is designed to track trends and failure patterns across the full testing stack.

Can Test Insight Analysis help reduce CI flakiness?

Definitely. By highlighting recurring flaky behavior and surfacing the context in which failures occur, Test Insight Analysis helps you isolate and fix the root causes of flakiness.

How fast can I start seeing insights?

You’ll start seeing Test Insight Analysis results after your first few CI runs. As the system collects more data, it builds a stronger picture of your test health and failure trends.

How does AI improve Test Insight Analysis?

AI helps cluster failure logs, detect anomalies, and correlate test issues with recent code or config changes. This means fewer hours spent chasing false positives and more accurate debugging.

Who benefits from Test Insight Analysis?

Developers, QA engineers, and DevOps teams all benefit. It reduces the time spent diagnosing failures and gives teams confidence to ship code faster without getting blocked by test noise.