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With developers using AI, how do quality professionals deal with reviewing increasing amounts of work to review? How can we keep pace with AI-accelerated coding?
In this episode, we spoke about two different kinds of quality teams – proactive and reactive. We then explore the coordination and rework challenges that AI accelerated development poses to each of these teams.
We finally end with a sobering prediction: reactive quality practices that were already wasteful in the pre-AI era will now become unsustainable.
Research:
https://github.com/BeyondQuality/beyondquality/tree/main/research/ai-era-testing
Sources:
- B. W. Boehm, "Software Engineering”, 1976 (https://selab.netlab.uky.edu/homepage/boehm-sw-eng-paper.pdf)
- Stafford Beer, "Brain of the firm", https://www.amazon.com/Brain-Firm-Stafford-Beer/dp/047194839X
By Vitaly SharovatovWith developers using AI, how do quality professionals deal with reviewing increasing amounts of work to review? How can we keep pace with AI-accelerated coding?
In this episode, we spoke about two different kinds of quality teams – proactive and reactive. We then explore the coordination and rework challenges that AI accelerated development poses to each of these teams.
We finally end with a sobering prediction: reactive quality practices that were already wasteful in the pre-AI era will now become unsustainable.
Research:
https://github.com/BeyondQuality/beyondquality/tree/main/research/ai-era-testing
Sources:
- B. W. Boehm, "Software Engineering”, 1976 (https://selab.netlab.uky.edu/homepage/boehm-sw-eng-paper.pdf)
- Stafford Beer, "Brain of the firm", https://www.amazon.com/Brain-Firm-Stafford-Beer/dp/047194839X