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Backend for Frontend & Intelligent APIs. tRPC, Edge Functions, and LLM Data Transformation

Move beyond basic CRUD and master the architecture of next-generation AI web applications. Build low-latency, type-safe backends using tRPC, Edge Functions, and React Query. Architect intelligent data pipelines for real-time processing and automated AI workflows. The definitive guide to engineering high-performance, production-ready systems for the AI era.

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About the Book

Master the Architecture of Next-Generation AI-Powered Web Applications!

Are your applications held back by slow, traditional REST APIs? Are you ready to move beyond basic CRUD operations and build truly intelligent, low-latency systems? Volume 7 of the acclaimed AI with JavaScript & TypeScript series is your definitive guide to the modern backend, where performance, type safety, and artificial intelligence converge.

This book provides a masterclass in the Backend for Frontend (BFF) pattern, showing you how to build highly optimized, AI-driven data pipelines using a cutting-edge, type-safe stack. Say goodbye to runtime errors, sluggish interfaces, and complex state management.

In this practical, hands-on guide, you will discover how to:
  • Build End-to-End Type-Safe APIs with tRPC, eliminating an entire class of bugs and accelerating your development workflow.
  • Deploy Low-Latency AI Inference on Edge Functions, performing complex LLM data transformations and content generation in milliseconds, not seconds.
  • Architect High-Performance UIs with React Query, implementing advanced caching, background revalidation, and instantaneous Optimistic UI updates.
  • Implement Real-Time & Asynchronous Systems using Supabase Realtime for live data and Trigger.dev for managing long-running background jobs.
  • Create Intelligent Data Pipelines that can generate smart PDF summaries, analyze images on upload, and send personalized, AI-generated transactional emails.
  • Master Critical Performance Techniques, from semantic caching with Redis and embeddings to advanced database indexing and N+1 query prevention.

Packed with real-world examples, detailed architectural diagrams, common pitfalls, and hands-on exercises, this book goes beyond theory. You will apply your skills in a final capstone project, building a complete AI data processing pipeline from scratch.

Unlock the power of the modern backend. Click 'Buy Now' and start building faster, smarter applications today!

Check also the other books in this series

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Author

About the Author

Edgar Milvus

A veteran software engineer with 20 years of experience, I have dedicated my career to the art of automation. My philosophy is simple: programming should eliminate repetitive chores to unlock human creativity. This journey began early on with the development of custom code-generation tools and has evolved into a deep mastery of LLMs and their APIs. Today, I specialize in architecting AI-driven solutions that handle everything from complex coding and security tasks to advanced knowledge retrieval, transforming the way we interact with technology

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