EngineeringLed Quality: The End of Dedicated QA? | With Michael Kitchen | Ep.12
Categories: Podcasts , Optimal Hype
The show explores the evolution of quality assurance (QA) in the tech industry, discussing the intersection of UE engineering, AI, and the future of QA. The conversation focuses on the shift from traditional QA approaches to more integrated, engineering-driven processes, and the role of AI in enhancing testing practices.
Optimal Hype
Gary Shannon interviews guests on Testing, Ai and Engineering.
- https://garytshannon.podbean.com/
- https://podcasts.apple.com/us/podcast/the-optimal-hype-show-formerly-the-qa-hype-show/id1802357073
Episode Details
- Show Notes: https://garytshannon.podbean.com/e/engineering%e2%80%91led-quality-the-end-of-dedicated-qa-gary-shannon-michael-kitchen-ep12/
- Published: 2025-10-09T05:30:00Z
- Duration: 2473
- Author: Gary Shannon
Overview
The podcast explores how the role of quality assurance (QA) is changing in modern software development, particularly with the increasing integration of testing into engineering workflows. It questions whether dedicated QA teams are still essential as engineering roles take on more testing responsibilities, weighing the benefits such as faster feedback and fewer handoffs against potential drawbacks like limited perspective and oversight of system-wide impacts. The discussion highlights a growing trend toward Quality Engineering (QE), which focuses on automation, prevention, and embedding quality practices throughout the development lifecycle.
The episode also addresses the challenges of manual testing in the era of AI, stressing the need for engineers to adopt a testing mindset and for QA professionals to develop automation and development skills to remain relevant. It provides examples of system failures caused by insufficient testing and emphasizes QAs role in risk management and ensuring accessibility. Practical advice is given on career growth, job searching, and building a professional profile in the changing landscape. The conversation concludes by suggesting hybrid models and AI tools as effective ways to balance speed and thoroughness in testing, with a strong emphasis on cultural changes that prioritize quality in software development.
For a PDF of longer Software Testing Podcast Episode Summaries with Briefing Notes and more detailed summary notes, visit EvilTester Patreon Podcast Summaries.