How to test Jira tickets automatically with an AI QA agent | SmartBear BearQ for Jira

SmartBear

Oct 23, 2026

You can add AI-driven testing to your Jira workflow by handing tickets to the QA Lead Agent in SmartBear BearQ™ for Jira. Move a finished ticket, and the agent checks for an existing test, links or creates one, runs it, and reports back.

If your team builds with coding agents like Claude or Cursor in Jira, BearQ, the agentic QA system, adds the quality step to that AI-driven software development lifecycle (SDLC).

Stop testing yesterday's application. BearQ's QA agents explore and learn your app as they test, so they catch issues beyond the test steps, like UI and UX problems or regressions. Each finding includes expected vs. actual behavior, repro steps, and evidence. You decide whether it becomes a Jira ticket or test.

Mention the QA lead agent in a Jira comment to create or run tests. Tests and executions log to SmartBear Zephyr automatically, or to another test case management system through custom workflows.

🚀 Try SmartBear BearQ for Jira: https://marketplace.atlassian.com/apps/56475305/bearq-ai-testing-agents-for-jira

📘 Learn how BearQ fits AI-driven delivery: https://smartbear.com/product/bearq/

Chapters

0:00 What is BearQ for Jira?

0:34 How to test a Jira ticket automatically when you move it

1:03 How BearQ builds an application model as it tests

1:33 What issues does BearQ find when testing a Jira ticket?

2:09 How BearQ reports evidence and repro steps for each issue

2:54 Turn a BearQ finding into a Jira ticket or test

3:10 How BearQ catches regressions and UI issues your test steps miss

3:42 How to create or run tests from a Jira comment

4:00 Log BearQ tests and executions in Zephyr automatically