This article explores how AI can act as a supportive assistant, helping testers prepare sessions, spot patterns, and organize insights while leaving the critical thinking to humans. You’ll also discover practical tips and best practices for integrating AI assistants like ChatGPT into your testing workflow.
Learn how to blend manual test case design with AI insights to improve coverage, accelerate validations, and deliver high-quality releases efficiently.
Is AI just another buzzword, or can it actually help testers uncover bugs more effectively? In this article, our solution architect Sérgio Freire experiments using AI during Exploratory Testing sessions.
Discover Sembi IQ - AI-powered testing for Jira that boosts QA efficiency and brings test generation to Xray.
Design smarter tests with Xray Enterprise and leverage model-based techniques and improve coverage without added complexity.
Discover how AI, automation, and DevOps are reshaping QA in 2025, and why testers remain essential in a fast-changing software landscape
Discover how QA teams can leverage AI assistants to enhance test coverage, accelerate testing cycles, and improve defect detection - while navigating integration challenges and maintaining human oversight.
Learn how AI can enhance test scenarios, optimize performance, and accelerate root cause analysis, shaping the future of software testing.
Software testing is evolving beyond defect identification to prioritize scalability, efficiency, user experience, and security. Explore the transformative trends empowering software testing in 2025.
Discover how AI and shift-left testing streamline QA processes, ensuring high-quality software delivery while maintaining speed and efficiency.
While AI excels at automating repetitive tasks and analyzing data, humans contribute creativity, critical thinking, and the ability to navigate complex scenarios. This article delves into the strengths of both, exploring how they enhance software testing.
With AI, testers can identify potential problems earlier, streamline planning, and enhance test coverage, all while improving resource management. While the transition brings its own challenges, such as data quality and skill adaptation, AI's benefits are vast. Learn about it here.
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