15 lessons learned building ChatGPT Apps

Alpic's journey into building ChatGPT Apps reveals a paradigm shift from traditional web or mobile applications to AI-first experiences, where managing the flow of information between the user, UI, and model becomes crucial. Over three months, they developed several apps for various industries, discovering that patterns like just-in-time data fetching and lazy-loading often hinder AI app performance. The development of Skybridge, an open-source framework, and a Codex Skill facilitates faster ideation, building, and testing of ChatGPT Apps by encoding their learnings into reusable tools. Key insights include the importance of selective context sharing, the need for front-loading data to enhance responsiveness, and the adaptation of UI design to accommodate multiple display modes. They also highlight the significance of security measures such as Content Security Policies, the utility of familiar frontend abstractions like React hooks, and the need for efficient development workflows, all contributing to more seamless agentic experiences.

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