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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
...Each project is designed to reinforce specific concepts such as UI design, data handling, animations, and app architecture. The material emphasizes hands-on learning, encouraging users to build real applications rather than passively consume theory. It is continuously updated to align with the latest versions of Swift, Xcode, and iOS, ensuring relevance for modern development practices.
...Hot reloading is a technique allowing you to get rid of compiling your whole application and avoiding deploy/restart cycles as much as possible, all while allowing you to edit your running application code and see changes reflected as close as possible to real-time. This makes you significantly more productive by reducing the time you spend waiting for apps to rebuild, restart, re-navigate to the previous location where you were in the app itself, re-produce the data you need. You don’t need to add conditional compilation or remove Inject code from your applications for production, it's already designed to behave as no-op inlined code that will get stripped by LLVM in non-debug builds.
...It works as a custom UILabel subclass that overlays multiple text layers and applies timed transformations such as offsets, color shifts, and clipping to simulate a glitch effect in real time. The component is lightweight and designed to integrate easily into UIKit-based applications without requiring complex setup or external dependencies. Developers can customize parameters such as animation duration, glitch frequency, displacement intensity, and color variations to match specific branding or visual requirements. ...
...We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.