AI-Driven Development with Claude Code : Transition from Manual Coding to Autonomous Systems Management and Reclaim 20 Hours of Weekly Development Time
Language: English
Published by Amazon Digital Services LLC - Kdp Mai 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 36.05
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Add to basketItem description from seller
Neuware - AI-Driven Development with Claude Code: Transition from Manual Coding to Autonomous Systems Management and Reclaim 20 Hours of Weekly Development TimeModern software development is changing fast, but many developers are still buried under repetitive coding, endless debugging, copy-paste workflows, documentation overhead, and slow release cycles. While AI-assisted development tools continue evolving, most engineers are only scratching the surface of what autonomous coding systems can actually accomplish. The result Burnout, slower delivery, and valuable hours lost every single week.AI-Driven Development with Claude Code shows you how to move beyond traditional coding workflows and start managing intelligent development systems that can generate, refactor, analyze, document, and optimize software with remarkable speed. Instead of spending your days manually handling repetitive engineering tasks, you'll learn how to orchestrate AI-powered coding pipelines that dramatically increase productivity while maintaining code quality and developer control.This practical guide explains how modern AI coding systems work in real development environments using Claude Code, autonomous agents, prompt engineering strategies, AI-assisted debugging, workflow automation, multi-file refactoring, codebase analysis, test generation, and production-ready development practices.Inside the book, you'll learn how to: - Build AI-driven development workflows for real software projects- Automate repetitive engineering and maintenance tasks- Use Claude Code for debugging, refactoring, testing, and documentation- Create autonomous coding systems that improve developer efficiency- Reduce context-switching and accelerate feature delivery- Integrate AI coding assistants into modern DevOps and engineering pipelines- Manage large codebases with AI-assisted architecture strategies- Improve software quality while reclaiming hours of development time each weekWhether you're a software engineer, technical lead, startup founder, AI engineer, or productivity-focused developer, this book provides a practical framework for adapting to the next era of software engineering.…
Seller Inventory # 9798196776236
- Title
- AI-Driven Development with Claude Code : Transition from Manual Coding to Autonomous Systems Management and Reclaim 20 Hours of Weekly Development Time
- Author
- Henry V Primeaux
- Publisher
- Amazon Digital Services LLC - Kdp Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798196776236
- Item weight
- 277 grams
- Dimensions
- 254x178x8 mm
Modern software development is changing fast, but many developers are still buried under repetitive coding, endless debugging, copy-paste workflows, documentation overhead, and slow release cycles. While AI-assisted development tools continue evolving, most engineers are only scratching the surface of what autonomous coding systems can actually accomplish. The result? Burnout, slower delivery, and valuable hours lost every single week.
AI-Driven Development with Claude Code shows you how to move beyond traditional coding workflows and start managing intelligent development systems that can generate, refactor, analyze, document, and optimize software with remarkable speed. Instead of spending your days manually handling repetitive engineering tasks, you’ll learn how to orchestrate AI-powered coding pipelines that dramatically increase productivity while maintaining code quality and developer control.
This practical guide explains how modern AI coding systems work in real development environments using Claude Code, autonomous agents, prompt engineering strategies, AI-assisted debugging, workflow automation, multi-file refactoring, codebase analysis, test generation, and production-ready development practices.
Inside the book, you’ll learn how to:
- Build AI-driven development workflows for real software projects
- Automate repetitive engineering and maintenance tasks
- Use Claude Code for debugging, refactoring, testing, and documentation
- Create autonomous coding systems that improve developer efficiency
- Reduce context-switching and accelerate feature delivery
- Integrate AI coding assistants into modern DevOps and engineering pipelines
- Manage large codebases with AI-assisted architecture strategies
- Improve software quality while reclaiming hours of development time each week
Whether you’re a software engineer, technical lead, startup founder, AI engineer, or productivity-focused developer, this book provides a practical framework for adapting to the next era of software engineering.
"Synopsis" may belong to another edition of this title.
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