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Rust for AI Engineers: Build Fast Inference Runtimes, Agent Memory Layers, and Tool Servers in Rust
Paperback
Publisher: Independently Published
Published: May 27 2026
Pages: 126
Weight: 0.39
Height: 0.27 Width: 6.00 Depth: 9.00
Language: English
- 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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