Xcode 26.3 ships with 20 native MCP tools for AI agents. Learn how to use Xcode's DocumentationSearch, BuildProject, RenderPreview, and more from Cursor, Claude CLI, or any MCP client using the mcpbridge.

Apple's Foundation Models framework includes PromptBuilder and InstructionsBuilder—Swift result builders that transform how we compose prompts. This post explores why declarative prompt composition beats string concatenation, and how to build type-safe, composable AI interactions.

Apple Intelligence supports 23 locales, and Foundation Models supports all of them. This chapter shows how to inspect supported locales at runtime and fetch responses in the user's language for regional differences.

An AI-driven journey in porting Qwen 3VL 4B vision model from MLX Python to Swift, featuring coding sessions with GPT-5 Codex, debugging with Sonnet 4.5, and performance optimizations with Haiku 4.5 to achieve code parity.

Learn how to combine Foundation Models' @Generable macro with MLX Swift to get structured, type-safe responses from your on-device models. Build apps that can reliably extract structured data from language models with guaranteed JSON schema compliance.