Mastering Vs Code for AI-Powered Development (Paperback)
Robertto Tech
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. The Complete Developer's Guide to Building Intelligent Workflows, Extensions, and Agentic Automation with GitHub Copilot, MCP, and LangChain ToolsSupercharge your development workflow and step into the future of intelligent coding with Mastering VS Code for AI-Powered Development (2026 Edition) - the definitive hands-on guide for software engineers, AI developers, and power users who want to transform Visual Studio Code into a next-generation AI automation hub.Written by a seasoned AI engineer and technical author, this book goes far beyond shortcuts and syntax. It reveals how to architect end-to-end intelligent workflows that combine GitHub Copilot, LangChain, and the Model Context Protocol (MCP) into cohesive, adaptive, and agentic development systems. Whether you build LLM-driven applications, automate research tasks, or orchestrate complex pipelines, this guide will show you how to make VS Code your command center for modern AI engineering.Through detailed tutorials, runnable examples, and real-world blueprints, you'll learn to: Configure VS Code for AI-assisted coding, retrieval-augmented workflows, and live data interaction.Build and deploy intelligent extensions that automate reasoning, debugging, and decision-making.Integrate Copilot, LangChain, and MCP into cohesive agentic systems for research, DevOps, and software development.Implement safety, observability, and governance controls in your AI pipelines.Optimize performance, token efficiency, and multi-agent collaboration at production scale.Each chapter bridges theory and practice, blending deep technical insight with pragmatic design principles. You'll explore advanced features like context caching, multi-LLM orchestration, tool chaining, and adaptive feedback loops - all demonstrated in Python and TypeScript within the VS Code environment.By the end, you'll have built a fully functional AI-powered development stack - from intelligent editors to self-coordinating agents - ready to deploy in real production environments.If you're serious about mastering AI-assisted coding, this is the VS Code bible for the age of agentic intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9798273561465
The Complete Developer’s Guide to Building Intelligent Workflows, Extensions, and Agentic Automation with GitHub Copilot, MCP, and LangChain Tools
Supercharge your development workflow and step into the future of intelligent coding with Mastering VS Code for AI-Powered Development (2026 Edition) — the definitive hands-on guide for software engineers, AI developers, and power users who want to transform Visual Studio Code into a next-generation AI automation hub.
Written by a seasoned AI engineer and technical author, this book goes far beyond shortcuts and syntax. It reveals how to architect end-to-end intelligent workflows that combine GitHub Copilot, LangChain, and the Model Context Protocol (MCP) into cohesive, adaptive, and agentic development systems. Whether you build LLM-driven applications, automate research tasks, or orchestrate complex pipelines, this guide will show you how to make VS Code your command center for modern AI engineering.
Through detailed tutorials, runnable examples, and real-world blueprints, you’ll learn to:
Configure VS Code for AI-assisted coding, retrieval-augmented workflows, and live data interaction.
Build and deploy intelligent extensions that automate reasoning, debugging, and decision-making.
Integrate Copilot, LangChain, and MCP into cohesive agentic systems for research, DevOps, and software development.
Implement safety, observability, and governance controls in your AI pipelines.
Optimize performance, token efficiency, and multi-agent collaboration at production scale.
Each chapter bridges theory and practice, blending deep technical insight with pragmatic design principles. You’ll explore advanced features like context caching, multi-LLM orchestration, tool chaining, and adaptive feedback loops — all demonstrated in Python and TypeScript within the VS Code environment.
By the end, you’ll have built a fully functional AI-powered development stack — from intelligent editors to self-coordinating agents — ready to deploy in real production environments.
If you’re serious about mastering AI-assisted coding, this is the VS Code bible for the age of agentic intelligence.
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