Systems | Development | Analytics | API | Testing

Connect agentic testing with Jira, Linear, and Azure DevOps| SmartBear BearQ

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.

SaaS or on-premise? How to settle the Swagger deployment question

Choosing between SaaS and on-premise for SmartBear Swagger Studio, SmartBear Swagger Portal, and SmartBear Swagger Contract Testing The question that most often stalls an API solution evaluation is a simple one: do we run this as SaaS or on-premise? It’s simple to ask and hard to answer, because three teams each hold a veto. Security needs to know where your data will live. Your platform team has to decide whether it can take on another workload.

TestComplete vs. Tricentis Tosca vs. Ranorex: Which test automation approach fits your team?

Test automation gets harder when the application portfolio stops looking like a modern web stack. Desktop clients, packaged systems, internal applications, and long-lived business software all create different requirements for how teams build, run, and maintain tests. In an AI-disrupted SDLC, the rest of the stack changes even faster, and the risk concentrated in those systems grows with it.

Spot flaky tests and failure trends with agentic QA | SmartBear BearQ

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.

BrowserStack vs. TestComplete: Which automation tool fits your stack?

Every QA team carries a list of things it hasn’t gotten to yet, and that list tends to grow at about the same rate as the application portfolio. There are more tests to automate than there is time to write them, coverage that stops short of the applications nobody wants to touch, and workflows that have stayed manual long enough to become part of how the team works. Automation chips away at that list without ever quite emptying it, because the constraint is rarely how fast the existing tests run.

Catch bugs and UI issues automatically with QA agents | SmartBear BearQ

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.

Confidence in AI-generated code is rising in lockstep with its failure rate

If you only read the headlines this year, you’d think AI makes shipping good software easier than ever. Yet, this was the year of very public AI-coding incidents. PocketOS’ production database deletion and a Vercel AI agent shipping unverified code are just two examples of AI-authored code shipped with confidence that turned out to be wrong. And, of course, these AI-coding incidents are distinct from Agentic AI orchestration incidents like the HuggingFace hack by OpenAI.

Honoring Absa: Achieving 96% less test creation time with SmartBear QMetry and SmartBear Reflect

At SmartBear, we’re dedicated to empowering teams by delivering application integrity: continuous, measurable assurance that their software works as intended, even as AI accelerates the SDLC. The AI Test Innovators Award: QMetry + Reflect celebrates customers who are using AI to reimagine how they create, maintain, and manage tests – without sacrificing rigor or reliability.

Best test management tools for Jira

Test libraries that once felt instant can become harder to manage as they grow: test cases take longer to open, reports take longer to build, and every sprint adds more data to an already bloated Jira environment. That’s usually the moment when a testing leader starts evaluating whether the test management tool installed years ago still fits the way the organization tests today. Your team has already decided to run testing inside Jira.

Control how much autonomy your AI testing agents have | SmartBear BearQ

Can you trust AI agents to run your tests without losing control of your release process? In this video, you’ll learn how, with SmartBear BearQ’s agentic QA system, the answer is yes, because you decide exactly how much autonomy the agents get. This enables you to adapt QA to fast-moving AI codebases, all with human oversight.