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{ "item_title" : "Rust for AI Engineers", "item_author" : [" Ashish Sharda "], "item_description" : "Python is fast to write but slow to run. If you've ever watched an AI agent crawl through a vector search, waited on a GIL-locked inference loop, or debugged a memory spike in a LangChain pipeline, this book is for you. Rust for AI Engineers teaches you to build the performance-critical layers of AI systems in Rust - the parts where Python runs out of road. You'll learn Rust through the lens of real AI engineering problems: agent memory, tool servers, vector search, LLM API clients, and production observability. What you'll build:- A working memory system for AI agents - episodic, semantic, and working memory in safe, concurrent Rust- A MCP-compatible tool server with a typed registry and async dispatcher- A fast vector search engine from scratch, with HNSW indexing and Qdrant integration- A streaming LLM API client with retry logic and rate limiting - no Python tax- PromptWarden, a zero-dependency prompt injection detection library- SentinelAI, a complete on-call engineering agent that monitors alerts, reasons about actions, and pages humans Every code example compiles. Every crate is real and published. No toy projects. Who this book is for: Backend engineers tired of Python's performance ceilings, AI engineers who want to ship production-grade components, and Rust developers ready to apply the language to the fastest-growing engineering domain. Ashish Sharda is an engineering executive with 15+ years at Apple, Yahoo, Visa, and Salesforce. He teaches Rust on LinkedIn Learning and builds open-source AI tooling including PromptWarden, rapid-rs, and Vajra.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/881/9798198819771_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Rust for AI Engineers|Ashish Sharda

Rust for AI Engineers : Build Fast Inference Runtimes, Agent Memory Layers, and Tool Servers in Rust

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Overview

Python is fast to write but slow to run. If you've ever watched an AI agent crawl through a vector search, waited on a GIL-locked inference loop, or debugged a memory spike in a LangChain pipeline, this book is for you. Rust for AI Engineers teaches you to build the performance-critical layers of AI systems in Rust - the parts where Python runs out of road. You'll learn Rust through the lens of real AI engineering problems: agent memory, tool servers, vector search, LLM API clients, and production observability. What you'll build:
- A working memory system for AI agents - episodic, semantic, and working memory in safe, concurrent Rust
- A MCP-compatible tool server with a typed registry and async dispatcher
- A fast vector search engine from scratch, with HNSW indexing and Qdrant integration
- A streaming LLM API client with retry logic and rate limiting - no Python tax
- PromptWarden, a zero-dependency prompt injection detection library
- SentinelAI, a complete on-call engineering agent that monitors alerts, reasons about actions, and pages humans Every code example compiles. Every crate is real and published. No toy projects. Who this book is for: Backend engineers tired of Python's performance ceilings, AI engineers who want to ship production-grade components, and Rust developers ready to apply the language to the fastest-growing engineering domain. Ashish Sharda is an engineering executive with 15+ years at Apple, Yahoo, Visa, and Salesforce. He teaches Rust on LinkedIn Learning and builds open-source AI tooling including PromptWarden, rapid-rs, and Vajra.

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Details

  • ISBN-13: 9798198819771
  • ISBN-10: 9798198819771
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.27 inches
  • Shipping Weight: 0.39 pounds
  • Page Count: 126

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