What problem does it solve?
Inertia Rails performance optimization addresses the slow initial load and laggy interactions that occur when large payloads, eager data loading, and heavy frontend logic slow down Inertia.js apps built with Rails.
Core Features & Use Cases
- Code Splitting and Lazy Loading: Split bundles to load pages on demand, reducing initial payload.
- Deferred Props and Partial Reloads: Move non-critical data to deferred props and refresh only changed data.
- Prefetching and Predictions: Preload likely next pages for snappy navigation in dashboards and lists.
- Infinite Scrolling and Polling: Improve UX by efficient data loading when scrolling or polling.
- Real-world Use Case: A dashboard with multiple widgets where only critical data loads at first; rest loads on demand.
Quick Start
Audit a typical Inertia Rails page, identify heavy payloads, and enable code splitting for the relevant client bundles. Refactor server responses to use deferred props for non-critical data and add prefetching for pages users are likely to visit next. Test with a sample page to verify reduced initial payload and smoother navigation. Then ask AI: "How do I implement InertiaRails.defer and prefetching in a dashboard to optimize performance?"
