Most recent episodes from podcasts in the testing category.
The Engineering Quality Podcast
4 Feb 2026
Agile practices improve software quality and team collaboration by emphasizing feedback, defined working agreements, and embedding quality in the development process.
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2 Feb 2026
This replayed discussion with Selenium creator Jason Huggins explores the tool's impact on web UI automation, critiques of its misuse, evolving testing roles, the balance between developer/tester responsibilities, and future trends like AI-driven testing, emphasizing ethical considerations and the need for better practices over tool reliance.
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2 Feb 2026
Software testing experts discuss Selenium, test automation best practices, and the role of AI, emphasizing the need for technical expertise and collaboration to stay ahead in the industry.
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29 Jan 2026
Choosing effective KPIs and quality metrics in software testing is crucial and teams can achieve this by pairing metrics and aligning them with business outcomes.
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28 Jan 2026
Rapid advancements in AI are disrupting software development and testing, requiring new testing skills and human involvement to ensure system reliability and handle complexity.
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27 Jan 2026
The podcast examines how AI can enhance software testing by predicting and preventing defects early on, automating tasks, and improving accuracy, while emphasizing the need for human oversight and collaboration throughout the software development lifecycle.
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27 Jan 2026
AI is transforming quality engineering and security, but its limitations require a balanced use as a supportive tool under human oversight.
Open episode27 Jan 2026
Cypress is discussed as a modern test automation tool for web applications, highlighting its advantages and limitations, along with best practices and recommendations for effective use.
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26 Jan 2026
The host reflects on personal and professional goals for the upcoming year, focusing on improving wellbeing, leadership, and practical application of AI and automation.
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Test Guild Devops Toolchain Podcast
22 Jan 2026
AI is reshaping application security by automating tasks and enhancing efficiency, but raises risks around AI-generated code and requires developers to be involved in security processes.
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