Local AI with VS Code : Mastering Private, Offline LLM Development: Run Open-Source Models Securely with Ollama, Continue, Llama.cpp, and Zero-Cloud Ex
Overview
Local AI with VS Code is the definitive guide for developers, engineers, data scientists, and privacy-conscious creators who want to build intelligent applications without sending a single byte to the cloud. Written by Liora Quillan, this hands-on book shows you how to turn VS Code into a powerful, offline AI development environment using open-source LLMs, privacy-first extensions, and fully local inference engines such as Ollama, Continue, Llama.cpp, GPT4All, and more.
With cloud AI platforms becoming increasingly expensive and restrictive, developers are turning to a new generation of local, open-source large language models for coding, automation, debugging, RAG pipelines, and intelligent agent workflows. This book teaches you exactly how to run these models efficiently, privately, and securely - right on your laptop or workstation. You'll learn step-by-step how to:
- Install and optimize VS Code for local AI workflows
- Run advanced models through Ollama, Continue, and Llama.cpp
- Build offline copilots, code assistants, and autonomous developer agents
- Implement local RAG, embeddings, vector search, and document Q&A
- Use zero-cloud extensions to keep your data 100% private
- Create AI-powered automation with Python, Node.js, and shell tools
- Develop security-hardened, air-gapped AI pipelines for enterprise or regulated environments
- Optimize performance on CPU-only systems (no GPU required)
This item is Non-Returnable
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Details
- ISBN-13: 9798277894347
- ISBN-10: 9798277894347
- Publisher: Independently Published
- Publish Date: December 2025
- Dimensions: 10 x 7 x 0.33 inches
- Shipping Weight: 0.62 pounds
- Page Count: 156
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