The authors also discuss the concept of treating the AI assistant as a special kind of collaborative user, integrating it into the same architecture used for multiplayer apps. They argue that this approach not only changes the way we think about multiplayer and collaboration, but also reaffirms the need for new backend architectures for complex web apps. They conclude by inviting readers to check out their demo and reach out to them for any questions about Jamsocket's session backends.
Key takeaways:
- Session backends, like those provided by Jamsocket, are increasingly being used for AI apps, as they simplify and make the tech stack more reliable.
- The OpenAI Assistant API, which supports long-running user sessions, presents challenges to traditional backend architectures, but these can be addressed with session backends.
- Session backends allow for a stateful connection with a user or group of users, making it easier to handle updates from multiple clients and resolve potential conflicts.
- By treating the AI assistant as a special kind of collaborative user, the same architecture used for multiplayer can be used to integrate an AI assistant, opening up new possibilities for collaborative apps.