See how Gearset’s Automated Testing solution integrates testing directly into your Pipelines

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Description

Manual regression testing is time-consuming, and building and maintaining UI tests for Salesforce can be a slow, painful process. Gearset’s automated Salesforce testing solution integrates testing directly into your CI/CD pipeline — so your team catches failures early, before they ever reach your users. And because it’s built into Gearset Pipelines, there’s no extra tooling to manage or context-switching between testing and deployment.

In this quick walkthrough, you’ll learn how to:

  • Record Salesforce UI tests with AI that captures each step in real time — so tests stay resilient even when your UI changes.
  • Verify critical functionality works as expected, and organise tests into folders for clean, manageable coverage.
  • Move changes through your CI/CD pipeline and let quality gates automatically block failing PRs from progressing.
  • See exactly where a test failed, and raise a Jira ticket straight from the test result.

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Transcript

Gearset's UI testing seamlessly integrates with pipelines to ensure new changes don't break existing functionality. I've built my change and opened a PR, but prior to moving forward, I'm tasked to add a UI test to verify my change works as expected.

This change required the marketing profile to have visibility of a new field, so I'll log in as the marketing profile to record the test. When recording, Gearset captures the UI in real time for each step. The AI passes, interprets, and contextualizes this information and creates the next step for execution.

This implementation solves a typical problem with UI testing where changes to the UI break hard coded scripts and require manual intervention.

Once complete, I'll add an assertion to verify the from event chat box is visible and add this test to the sales console folder.

Back in pipelines then, I can promote my change through deploying it to QA SIT, and this will automatically open a PR against UAT.

By looking at the PR, the test has failed and blocked the PR from progressing. This is exactly what we want. We caught the break before production. I can drill into the feature, see the exact step that broke, and create a Jira ticket that will be passed back to the owner to remediate the failed test.

This is shifting left in action. You're catching failures early, not in production, and enforcing these with quality gates in the pipeline. If you'd like to explore how UI testing could fit into your release process, please get in touch via Gearset dot com.