Systems | Development | Analytics | API | Testing

Secure AI starts with securing the APIs underneath it. This session breaks down why APIs and MCPs are the control plane for AI apps and agents, where unmanaged API risk hides, and how security and platform teams can improve visibility, posture, runtime protection, and governance across production environments. KEY TAKEAWAYS TIMESTAMPS.

SwiftUI PhotosPicker tutorial: how to let people choose a photo in SwiftUI with PhotosPicker from PhotosUI, load it with loadTransferable(type:), and handle and log the errors when loading fails. PhotosPicker opens the system photo picker. People choose a photo, and your app gets only the items they pick. This Short shows the whole flow in a real iPhone app in the iOS Simulator, with the exact code.

Best app deployment platforms in 2026: the right one depends on what you ship. Here is the short list by use case, with the free-tier changes that make older lists out of date. THE SHORT LIST Frontend apps: Vercel or Netlify. Every Git push gets its own preview link. Full-stack apps and APIs: Render or Railway, with databases next to your app. Mobile backend: Firebase, with auth, real-time data and hosting. Already on AWS or Google Cloud: AWS Amplify or Google Cloud Run. Static sites: GitHub Pages and Cloudflare Pages host them for free.

DevOps customers are rejecting standalone AI agents and web interfaces in favor of integrating context directly into their existing harnesses, such as Copilot or Claude. Rather than logging into separate tools, developers prefer combining models and technologies within a single context window to streamline software development and debugging. Learn more: speedscale.com.