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2d ago · 6 min read · By 2026, 73% of iOS developers are using on-device AI — but choosing between Apple Foundation Models and CoreML can make or break your app's performance. After Apple's Foundation Models framework launched at WWDC 2026, the iOS AI landscape changed fo...
Join discussion3d ago · 8 min read · Here's a common misconception we see everywhere: developers think building a chatbot with RAG is just about plugging an LLM into a vector database. We've watched countless projects fail because teams focus on the wrong pieces first. The truth? Your R...
Join discussion4d ago · 7 min read · Last month, I was debugging a multi-agent system that was supposed to analyze market data, generate reports, and send notifications. The agents kept stepping on each other, creating duplicate work and conflicting outputs. That's when I realized the f...
Join discussionApr 3 · 7 min read · Picture this: You're building an iOS app that needs to analyze user photos, generate personalized text recommendations, and respond to voice commands — all without sending a single byte to external servers. Sound impossible? Welcome to on-device mach...
Join discussionApr 2 · 6 min read · Many iOS developers think Apple's Foundation Models framework is just another AI wrapper library. That's completely wrong. Foundation Models guided generation represents the biggest breakthrough in on-device AI since CoreML, giving you structured, ty...
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