Mastering Vs Code for AI-Powered Development: The Complete Developer's Guide to Building Intelligent Workflows, Extensions, and Agentic Automation wit

Tech, Robertto

ISBN 13: 9798273561465

Published by Independently published, 2025

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Bibliographic Details

• Title: Mastering Vs Code for AI-Powered Development: The Complete Developer's Guide to Building Intelligent Workflows, Extensions, and Agentic Automation wit
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798273561465
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

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.