Systems | Development | Analytics | API | Testing

Worried an AI teammate could rack up a surprise bill? In this video, you’ll learn how SmartBear BearQ gives you real governance over AI testing spent – built with pre-baked monthly limits, so your team always knows what to expect before a single agent gets to work.

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).

10x faster coding. Same QA. Until now. You're coding faster with AI. But if your agents are siloed and disconnected, those gains aren’t yet showing up in your quality or delivery – it's getting lost in the handoffs. Join SmartBear for a live demonstration of the connected agentic SDLC. See how BearQ extends beyond creating tests to coordinating quality work across Jira, GitHub, and AI-powered workflows – detecting issues, triggering the right next action, and carrying context from one agent to the next.

Watch this video to see how see how SmartBear BearQ keeps bug reports and test results in sync with Jira, Linear, and Azure DevOps at AI speed and scale, with no manual copy-pasting. BearQ’s agentic QA system connects to the tools your team already relies on, so its three built-in agents can pull in context and push results right where your team lives.

Wondering which of your AI-driven tests need attention right now? Watch this video to learn how SmartBear BearQ spots flaky tests and failure trends the moment they happen, so you always know exactly where to focus. Each report summarizes what happened and surfaces the issues BearQ detected, whether while exploring your app or running a scheduled test. Drill into failed tests to see exactly which runs broke and why, track trending results over time, and review open issues found across both passing and failing runs.

In this video, you’ll see how SmartBear BearQ's QA agents catch bugs, UI and UX issues, and accessibility gaps automatically as they explore or test your applications, zero test script writing necessary. Whenever the Explorer Agent investigates your app or the Tester Agent runs a test, the QA Lead Agent is watching in the background for anything that looks wrong. Each suspected issue arrives with a clear title, a description, expected versus actual behavior, steps to reproduce, and a link to the evidence that shows exactly when it was found.