More How To Test This? episodes
Published 19 Mar 2026
Duration: 00:40:26
The evolving role of QA in software development emphasizes independent teams for unbiased testing, addresses challenges like post-launch failures and AI tool adaptation, integrates proactive security and ethics, and highlights future trends in AI-driven QA and ethical compliance.
If the chef shouldn't certify his own dish, why is your dev team validating their own code? Today, Tudor Brad shares why independent QA is non-negotia...
The text outlines the evolution of quality assurance (QA) in software development, emphasizing the role of independent QA teams in ensuring product quality and user trust. It highlights Tudors 50-year QA journey, his founding of Better QA, and the development of in-house tools like Bug Boards, Flows, and Butterflow to streamline testing processes. Key topics include the misconception that developers can fulfill QA roles, the critical need for unbiased testing to prevent post-launch issues, and the risks of prioritizing speed over quality in startup or SaaS environments. The discussion underscores how independent QA teams identify hidden flaws, mitigate biases, and provide cost-effective, scalable testing solutions compared to internal teams.
The text also addresses the integration of AI in QA, noting its potential to automate tasks like test case generation and AI agent coordination but stressing the necessity of human oversight to validate outputs and ensure alignment with project goals. Future challenges include testing AI systems for vulnerabilities like prompt injection and ensuring security in interconnected platforms. Broader themes include the ethical responsibility of QA professionals to prevent harm through technology, the importance of foundational skills like API testing and security awareness, and the evolving role of QA in addressing issues like accessibility, performance, and AI-driven decision-making. The text concludes by advocating for continuous learning, adaptability, and a balance between AI tools and human creativity to maintain product integrity in a rapidly evolving tech landscape.
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Focuses on holistic testing as a shared team responsibility across the SDLC, stressing collaboration, adaptability, user-centricity, balanced use of automation and human judgment, quality engineering, iterative practices, and systemic learning for long-term success.
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The evolution of software testing highlights the shift from manual to AI-driven automated QA, emphasizing context-aware tools to address siloed teams, outdated methods, and inefficiencies while integrating cross-functional expertise, improving ROI up to 20x, and balancing automation with human judgment in a collaborative, adaptive QA future.
8 Apr 2026 How To Test As Agentic Quality Engineer Dragan Spiridonov
The evolution of quality engineering integrates AI through Agent Quality Engineering (AQE), emphasizing structured frameworks like PACT, human oversight, and the balance between AI efficiency and foundational QA skills while addressing challenges like alignment with business goals and ethical considerations.
29 Mar 2026 How to Test With Agentic AI automation Tool - Geosley Andrades
Agentic automation AI is reshaping QA by enabling autonomous testing, addressing skill gaps and scalability through adaptive, no-code solutions, and urging professionals to upskill in AI/ML, prioritize business logic, and balance automation with human oversight for reliable, secure, and context-aware quality assurance.
27 Mar 2026 How to Test a Release Oleksandr Bolzhelarskyi
Strategies for effective software testing emphasize separating QA from quality management, addressing role confusion and oversight gaps, utilizing process improvements and tools, balancing speed with stability through rigorous regression testing, fostering collaboration between teams, and leveraging automation and continuous improvement to ensure reliable releases.