The chapter explores the utilization of AI in code development, focusing on generating tests, ensuring code integrity, and minimizing manual work through AI assistance. It emphasizes enhancing code with prompts, configuration principles per repo, and the impact on code quality. Additionally, the discussion delves into evolving AI learning best practices, managing large code repositories, and implementing deep context in products.

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