Real‑Time UI Engineering:
High‑Frequency Systems, Performance,
and AI‑Native Development

Overview

This book explores the architecture, patterns, and engineering principles behind real‑time user interfaces. It focuses on high‑frequency data ingestion, scheduling, rendering pipelines, performance constraints, and the emerging role of AI‑native systems in UI engineering.

Table of Contents

PART I — Foundations of Real‑Time UI Engineering

• Why real‑time UIs behave like systems
• High‑frequency frontends and industry blind spots
• Mental models for real‑time thinking
• Latency, correctness, and failure patterns

PART II — Financial Domain Primitives

• Currency pair mechanics
• RFQ protocols and execution races

PART III — Real‑Time Data Architecture

• Dataflow mental models
• WebSocket middleware
• Handler patterns
• Subscription lifecycle
• Memory‑bounded design

PART IV — State Management for High‑Frequency Systems

• Deterministic state machines
• Domain‑driven Redux
• Selector performance
• Async concurrency patterns

PART V — Performance Engineering

• Metrics that matter
• FPS and render‑budget discipline
• Batching strategies
• React performance patterns
• Grid optimization

PART VI — Component Architecture & UI Patterns

• Designing components for continuous updates
• Real‑time hooks and widgets
• Visual feedback patterns
• Defensive UI engineering

PART VII — Advanced Performance & Scaling

• Web Workers
• Real‑time monitoring
• Debugging high‑frequency systems

PART VIII — Production Engineering

• Testing real‑time systems
• Chaos and burst testing
• Observability
• Security and compliance

PART IX — AI‑Accelerated Development

• How senior engineers use AI to build UIs 10× faster
• Where AI fails in real‑time systems

Progress

Current status: Writing & Architecture Phase

~22% complete

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