Resources Center

How to Stabilize AI-Generated Test Suites with SmartBear Reflect 

Automating tests using an LLM can get expensive, fast.   Generating tests with tools like Claude, Cursor, or Copilot sounds great until the maintenance tax kicks in: brittle selectors, duplicated logic, and autofix loops that can burn through tokens with every flaky test – all work that requires developer time and focus. AI coding agents generate …

AI Development: Smarter UI Testing with TestComplete

Many teams are burning through expensive AI credits on test creation and maintenance when there is a smarter way. In this 30-minute demo, Vinnie Whyte, Senior Solutions Engineer at SmartBear, shows TestComplete in action alongside your AI development workflow. Keep your credits where they belong, accelerating development, not validating it. In this session you will …

Ask Me Anything: AI testing in Jira with the SmartBear Zephyr Agent for Rovo

Are you scaling test coverage at AI speed? Join our SmartBear Zephyr solutions engineering team for a live Ask Me Anything session on the Zephyr Agent for Rovo, AI test management inside Jira, built on Zephyr as your testing system of record. This is your chance to ask questions, see real-time demos, and learn how …

Inside the SmartBear Roadmap, Vol. 2: Delivering Application Integrity Across the SDLC

The software landscape continues to evolve, and so does SmartBear’s vision for helping teams deliver quality at speed. Join SmartBear product leaders for the second installment of our roadmap series as we share a Now / Next / Later look at the innovations shaping application integrity across the software development lifecycle. You’ll get an inside …

Agentic API Testing: Authored, Governed, and Validated

Anyone’s AI can generate a test. The harder question is what happens after — when APIs change, tests break, and you need to know exactly what your agent touched, what it fixed, and whether the results can be trusted.  That’s the problem ReadyAPI MCP is built to solve.  Join us for this 20-minute deminar to see ReadyAPI’s Model Context Protocol (MCP) server in …

How AI-assisted and agentic workflows are changing test management 

How are you using AI for software testing? With AI speeding up development, testing is becoming harder to track across manual, automated, and agentic work, making clear visibility into implementation more important than ever.  Join us for an expert-led look at how AI-assisted test management is helping teams adjust to AI-driven development, and how technical teams can benefit from more connected, flexible, and practical workflows.  In this …

AI Builders Workshop Series: Run AI-driven QA inside Jira with Zephyr

AI in QA should reduce the work you manage, not add to it. Join this hands-on workshop to see the AI capabilities available in SmartBear Zephyr today, working inside Jira where your team already operates. Through real scenarios, you’ll see the Zephyr Agent for Rovo generate test cases from requirements, create and organize them in …