🤖 AI Summary
Puter.js has published a comprehensive documentation repository designed to help developers build applications with its framework and ecosystem. The docs cover usage guides, best practices, and runnable code examples across core APIs — including AI/ML integrations, networking, authentication, and cloud services — plus sub-projects, modules, and components. You can try it locally by cloning https://github.com/HeyPuter/docs, running npm install and npm run dev, which launches the site at http://127.0.0.1:8080 (or the next available port). The project is open-source (MIT) and the content is CC BY-SA 4.0 unless otherwise noted, with third-party libraries subject to their own licenses.
This release is significant because it centralizes technical references and practical examples for integrating AI features into apps, reducing onboarding friction and accelerating prototyping. The docs also spell out contribution and support channels (GitHub issues, Discord, X, Reddit, Mastodon), and provide contacts for general queries and security disclosures (security@puter.com, hi@puter.com). For the AI/ML community, well-documented API surface and examples mean faster experimentation, clearer security expectations, and a lower barrier to contribute extensions or deploy Puter-powered services in production.
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