We are entering an era of unprecedented change in software quality practices. The continued rise of agile and DevOps are accelerating the pace of software delivery, driving the automation imperative and an increased need to focus on quality throughout the development lifecycle. Fortunately, we are an adaptable community, and our approaches to software practices are evolving quickly to respond to these challenges. We are building new skills. We are shifting left. And we are taking advantage of innovations in AI, low-code automation, and cloud computing to make testing automatic. In this session, we’ll use specific examples to illustrate how you can embrace innovation to respond to the disruptive forces in the software quality landscape. After that, with an eye toward the future, we’ll discuss how we can all prepare ourselves and our teams for the disruptions to come.
Quality Engineering Resources
What Is Agentic Development? How to Build Speed, Testing, and Governance Into the ADLC
Learn what agentic development means, how it differs from AI coding help, and why testing and governance matter when agents plan, write, and change code.
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There is a race condition hiding in your flaky test
Many flaky test “timing issues” are race conditions. See how investigating every failure exposed real bugs in our product code before customers found them.
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Understanding Agentic AI Test Automation: A Practical Guide for Software Teams
Learn what agentic AI test automation is, how it differs from traditional automation, and what enterprise teams should evaluate before adopting it.
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