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portada Mastering AI-Assisted Software Development with Claude Code and VS Code. Practical Workflows, Tools, and Techniques for Modern Developers (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
274
Encuadernación
Tapa Blanda
Dimensiones
28.00 x 21.60 x 1.40 cm
ISBN13
9798195750169

Mastering AI-Assisted Software Development with Claude Code and VS Code. Practical Workflows, Tools, and Techniques for Modern Developers (en Inglés)

Levi K Fairweather (Autor) · Independently published · Tapa Blanda

Mastering AI-Assisted Software Development with Claude Code and VS Code. Practical Workflows, Tools, and Techniques for Modern Developers (en Inglés) - Levi K Fairweather

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Reseña del libro "Mastering AI-Assisted Software Development with Claude Code and VS Code. Practical Workflows, Tools, and Techniques for Modern Developers (en Inglés)"

Are you still spending hours on repetitive coding tasks or debugging sessions that seem to go nowhere?
What if your editor could do more than assist, what if it could actively collaborate with you?

This book explores a modern development workflow where Claude Code works directly inside Visual Studio Code, helping you write, refine, and ship code with far greater speed and precision. Instead of treating AI as a novelty, you will learn how to integrate it into your daily workflow in a way that feels natural and productive.


Why AI-Assisted Coding Changes Everything

How much of your time is spent on boilerplate, refactoring, or chasing down bugs?

With Claude Code integrated into your environment, those tasks become significantly lighter. You can generate code from natural language, refactor entire functions in seconds, and debug with contextual awareness that traditional tools cannot provide.

This is not just about speed. It is about reducing cognitive load so you can focus on architecture, logic, and creativity.


Core Workflows for Everyday Development

What would your workflow look like if repetitive tasks disappeared?

This guide walks you through practical, repeatable workflows such as:

Generating project scaffolds from simple promptsIterating on features with AI-assisted feedback loopsDebugging edge cases with contextual suggestionsRefactoring codebases without breaking structure

Whether you are building APIs, web applications, or data pipelines, these workflows are designed to improve both velocity and code quality.


Essential Tools and Setup

Are you getting the most out of your development environment?

You will learn how to configure your editor for maximum efficiency, including:

Custom prompt libraries for consistent outputsVersion control strategies that incorporate AI-generated changesTesting setups that evolve alongside your codeExtensions and shortcuts that streamline your workflow

The result is a development setup that feels responsive, fast, and tailored to how you think.


Advanced Techniques for Scaling Up

What happens when you apply AI to larger, more complex systems?

The book moves beyond basics into advanced applications such as:

Multi-file refactoring across large codebasesCollaborative workflows using shared promptsPerformance optimization with AI-assisted insightsMigrating and modernizing legacy systems

These techniques are especially valuable when working with established stacks like React, Node.js, and Python.


Build Through Real Projects

How do you turn these concepts into real capability?

Each section includes hands-on projects designed to reinforce what you learn. You will build and optimize real applications, from full-stack systems generated from prompts to performance-tuned repositories ready for production.

This is not passive learning. It is applied, practical, and immediately usable.

This book is a direct path to becoming an AI-augmented developer who writes cleaner code, solves problems faster, and adapts to modern tooling with confidence.

So the question becomes simple: if these tools are already available, why not use them to their full potential?

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