Apple Showcases 90-Minute WWDC26 AI Developer Tools Demo, Building an App From Prompts
Updated
Updated · 9to5Mac · Jun 17
Apple Showcases 90-Minute WWDC26 AI Developer Tools Demo, Building an App From Prompts
3 articles · Updated · 9to5Mac · Jun 17
Summary
Apple released a 90-minute WWDC26 session showing new developer AI tools, including a roughly 20-minute demo that built a WWDC badge tracker app from a single prompt and follow-up commands.
Xcode 27 was shown asking clarifying questions and planning projects before coding starts, while the app demo added 3D animations, holographic effects and Visual Intelligence features through prompt-driven iteration.
The presentation also detailed how developers can connect apps to the new Siri AI and use Apple’s Foundation Models framework with Core AI and an upgraded MLX framework, including support for third-party models.
Apple closed with a 1-trillion-parameter Kimi 2.6 model running locally in LM Studio across four Mac Studios via RDMA-over-Thunderbolt in macOS Tahoe 26.2, underscoring its push toward on-device and developer-facing AI.
How does Apple's 'Private Cloud' technically prevent Google's Gemini AI from accessing or learning from user data?
When AI writes the code, who is truly accountable for the inevitable security flaws and bugs in new apps?
As AI writes more code than humans, will software engineering become a job of prompting instead of programming?
WWDC26 Report: Apple’s Agentic Coding, Hybrid AI, and the Privacy-Driven Future of Developer Tools
Overview
Apple's WWDC26 marked a major turning point as the company shifted its strategy toward artificial intelligence, aiming to transform both developer workflows and user experiences. Central to this vision is 'agentic coding,' which empowers developers with intelligent tools for code generation and debugging, and a strong focus on on-device intelligence to ensure privacy. By unveiling deeply integrated, privacy-first AI features, Apple promises to make coding more intuitive and user interactions smarter, setting itself apart from competitors. This approach not only redefines how apps are built but also highlights Apple's commitment to secure, seamless intelligence across its ecosystem.