April 2026
Intermediate
530 pages
11h 47m
English
This chapter represents a deliberate shift from the previous ones. So far, we have focused on AI-powered tools integrated into Xcode and the Swift ecosystem to improve very practical aspects of development: Swift Concurrency, TDD, accessibility, architecture, and overall code quality.
With Apple Foundation Models, we zoom out.
You cannot realistically write a book about AI and Swift without addressing what Apple itself has built in the field of artificial intelligence. This chapter exists for that reason. It connects the tools we use every day with the underlying models, hardware, and system-level decisions that make on-device AI possible.
Apple has invested in machine learning and deep ...
Read now
Unlock full access