Eliran Natan

Build UIs that learn - Discover the powerful combination of UI and AI

Is lazy loading enough? What if your app could predict a user's next click and load the code before they even ask?

Build UIs that learn - Discover the powerful combination of UI and AI
#1about 2 minutes

Solving slow load times in single-page apps

React's lazy loading API helps with initial load times but introduces delays when components are actually rendered.

#2about 3 minutes

Prefetching components by predicting user actions

Improve user experience by using dynamic imports to prefetch components or entire routes before the user requests them.

#3about 2 minutes

Applying machine learning to user sequence prediction

Frame user navigation as a sequence prediction problem where the model learns from click history to predict the next action.

#4about 4 minutes

Implementing a neural network with TensorFlow.js

Build a neural network in the browser using TensorFlow.js with LSTM layers and one-hot encoding to handle sequential user interaction data.

#5about 1 minute

Training the prediction model asynchronously in the browser

Use the asynchronous `.fit()` command in TensorFlow.js to train the model with user data in the background without blocking the UI.

#6about 7 minutes

Architecting the solution with the React Context API

Use a `PredictorContext` for ML logic and a `PrefetchContext` as a message bus to decouple prediction triggers from prefetching actions across the application.

#7about 3 minutes

Summary of key techniques for a self-learning UI

A recap of combining React's code splitting, TensorFlow.js for prediction, and Context API for a robust, performance-oriented architecture.

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Saby Company
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