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AI technologies are fundamentally transforming the landscape of IT system development. While they are increasingly applied across a wide range of development tasks, their potential remains largely untapped within CI/CD pipelines.
I have personally experimented with applying AI technologies to CI/CD pipelines in an effort to build more effective and intelligent workflows. However, these attempts did not lead to the expected results. This experience raises an important question: why is the integration of AI technologies into CI/CD pipelines so challenging?
In this session, I will explore the practical and conceptual barriers encountered when applying AI technologies to CI/CD pipelines, and examine the underlying reasons behind their apparent lack of compatibility, drawing on firsthand experience. This exploration is still a work in progress. Rather than presenting a success story, this session aims to frame the problem clearly and honestly.
Also, by raising key questions and sharing lessons learned from failed attempts, this session seeks to encourage broader discussion and invite more practitioners to engage with this challenge and collaboratively explore possible paths forward.
I joined NTT Data in 2005. Currently, I'm dedicated to driving modernization through the integration of CI/CD and infrastructure automation, transforming traditional projects.
