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Explore the capabilities of Claude Opus 4.6's 1 million token context window through a hands-on coding demonstration building a complete prompt history feature for a production React Native app. Follow along as the instructor tests this AI model's coding abilities by implementing a real feature from scratch using Expo, SQLite, and bottom sheets in their live app (inkigo.ai with $200+ MRR). Learn about the model's performance benchmarks, long context retrieval capabilities, and practical implementation strategies while observing the development process from initial setup and prompt planning through final testing and pull request submission. Discover insights into code quality, consistency, and cost analysis as the instructor spends $2 to build multiple features including sheet dismissal functionality, long press delete capabilities, and quick access icons. Gain practical knowledge about AI-assisted development workflows, React Native implementation techniques, and real-world application of large language models in production environments.
