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Learn to integrate AI agents into your applications using Warp's cloud-based Oz platform through a practical demonstration with a React Native AI tattoo app called Inkigo. Discover how to set up automated feature development where user-submitted feature requests trigger cloud-based AI agents that evaluate, implement, and create pull requests without requiring local machine resources. Explore the limitations of local AI agents and understand how Oz solves these challenges by providing scalable cloud infrastructure. Follow along as the tutorial covers setting up Warp and the agent management panel, creating Oz environments, installing and configuring the Oz SDK, connecting APIs to trigger agents, and writing the necessary code to automate the feature request workflow. Watch live demonstrations of parallel agent execution handling multiple feature requests simultaneously, monitor real-time agent activity, and review the generated pull requests for features like pin prompts and camera grids. Gain insights into testing implemented features locally, handling follow-up prompts from cloud agents, and deploying changes to production, while exploring additional use cases for AI-powered development automation.
