Summary

This chapter described AI and ML-enabled tools integrated within continuous testing, quality, security, and feedback practices. It explained how AI/ML technologies can greatly improve the efficiency, security, and responsiveness of development and delivery processes. The discussion offered a practical framework for automating and enhancing tasks with AI/ML-enabled tools.

Selecting the appropriate AI/ML tools is a critical step in effectively integrating these technologies. The differentiation between generative and predictive AI tools underscored the importance of a thoughtful approach in tool selection, ensuring that the chosen solutions align with organizational objectives and address the challenges of continuous processes. The chapter identified the challenges and considerations that accompany the application of AI/ML. Issues such as data quality, privacy concerns, and the need to maintain a balance between automation and human oversight are fundamental for the strategic...