Scaling Testing for the Age of AI-Generated Code

In this episode, the main conversation is between host Ole Lensmar and guest Atul, who are joined by special guest Dmitry, the CEO of Testkube. Together, they dive deep into the evolving landscape of software testing, framed by Atul's fascinating journey from manual QA to a cloud native developer advocate.The conversation kicks off with Atul sharing his unique career path, highlighting how starting in manual testing gave him a foundational understanding of system failure points—an invaluable edge in the world of development and cloud native technologies.The core of the discussion explores the profound impact of AI on testing and development workflows. Atul points out a critical challenge: while AI can generate code at 10x the previous velocity, our CI/CD pipelines often become a bottleneck, as they weren't designed to handle such a high volume of pull requests. This leads to a crucial conversation about the need to not only scale testing efforts to ensure proper coverage for AI-generated code but also to scale the underlying CI/CD infrastructure itself. They also touch upon the significant software supply chain security concerns that arise when integrating AI agents into the development lifecycle.Shifting focus to the broader ecosystem, the episode examines why testing often feels like an afterthought in the cloud native community, particularly at events like KubeCon. Atul argues that teams are often so focused on application functionality that they're "blinded" to the complexities of testing the entire infrastructure stack—from service meshes to container orchestration—until something breaks. The conversation also covers the nuanced practice of testing in production, balancing its benefits with the inherent risks.

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