Resources Center

From Test Cases to AI, See Modern Test Management in Action 

As teams adopt AI and speed up development, the role of test management is being questioned. Will it still matter? Yes, but it needs to evolve. Core foundations like visibility, reusable test assets, integrations, and support for manual to automated workflows aren’t going anywhere. What’s changing is the need for smarter, more efficient test management …

Vision AI in action: See what’s new in TestComplete 

Object recognition is one of the primary reasons UI test automation fails in complex applications.  We’re enhancing SmartBear TestComplete with vision AI to help teams tackle that challenge and build more resilient automation for legacy desktop and complex web apps.   In this session, we’ll briefly look at where object recognition falls short today and give you a look at how vision AI in TestComplete overcomes those challenges.   …

What’s New with AI in Zephyr

AI is rapidly changing how teams approach testing, enabling faster delivery and more efficient workflows.Join us for a session focused on the latest AI innovations in Zephyr and how they are helping teams scale their testing efforts.   In this session, we’ll cover:  See how Zephyr is bringing AI into test management in a practical and impactful way.  April 28th, 2026, …

Webinar: How to Build Automation-Ready API Tests with ReadyAPI

The main challenge of manual API testing is its lack of scalability, as it relies on labor-intensive, human effort that becomes increasingly slow and prone to error as the number of endpoints and required regression cycles grow. The solution? Automation. For automated API testing to work efficiently, API tests must be automation-ready by design, with …

AI Builders Workshop Series: A smart way to run AI-driven QA

AI in QA shouldn’t mean more work to manage. Join us for this hands-on workshop where we show how to maximize the AI capabilities available in SmartBear QMetry today. Working through real-world scenarios, you’ll see how AI generates and improves test cases, removes redundant work, and optimizes coverage so your team can focus on what …

API Testing in the AI Era

The challenge  AI-augmented development has enabled teams to ship code up to 10x faster, reshaping how testing needs to scale.   Traditional API testing methods remain linear, creating a growing backlog of validation work and a compounding “testing debt.” As code delivery accelerates, quality becomes the bottleneck, increasing the risk of defects reaching production and compromising application integrity.  The solution?  A …