Inside Apple Intelligence and Xcode: Special Presentation
Step inside Steve Jobs Theater to discover the latest Apple Intelligence and Xcode advancements. Learn how to accelerate your development with new agentic coding workflows in Xcode 27, and discover how App Intents enable Siri to understand context and take action inside your app. Find out how to ship intelligent features using the Foundation Models framework, deploy custom on-device models with Core AI, and scale your machine learning research and training using MLX.
Transcript
Learn about the latest advancements in machine learning and intelligence, including agentic coding in Xcode 27, App Intents, the Foundation Models framework, Core AI, and MLX.
New agentic coding workflows act as a collaborator across your entire codebase, featuring capabilities for planning, building SwiftUI views, localizing string catalogs, and extending tools with plugins.
Model your app’s data and capabilities as entities, and tap into powerful capabilities like entity annotations, interaction donations, and the semantic index so Siri can take action driven entirely by natural language.
Expanded APIs for integrating large language models directly into your apps, including support for multimodal image input, Private Cloud Compute, third-party models, and the new Evaluations framework.
The next evolution of on-device AI execution, covering its modern Swift API, Python conversion tools, Ahead-of-time compilation, and deep customization capabilities for optimizing performance on Apple silicon.
Advanced machine learning and numerical computing on Apple silicon, featuring support for multiple programming languages and new distributed computing capabilities to scale massive workloads across multiple Macs.
Key takeaways and recommended next steps: explore over 100 sessions, join Group Labs online or in person, and utilize the new AI-powered search on the Apple Developer website.