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142420848
Software Craftsmanship Using AI: Practical guide for using LLMs in writing reviewing and testing code (English Edition)
Item #:
142420848
HTG 6793
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What Stands Out
AI Integration
Leverages AI technology to enhance coding practices, making software development more efficient and innovative compared to traditional methods.
Hands-On Approach
Offers practical techniques for writing, reviewing, and testing code, enabling developers to apply learned skills directly to their projects.
Modern Relevance
Addresses current challenges in software craftsmanship, providing insights and tools that align with today’s dynamic tech landscape and user demands.
Product Details
- DescriptionThis book is a workshop to create software using AI. A reader will be taken through a series of requirements and create a practical API from scratch. AI is without a doubt a productivity boost, and our goal is to help you maximize the boost by writing prompts effectively to generate, refactor, test, and review code.This book is also a modern take on software design fundamentals. To be able to scrutinize AI-generated code and to be able to guide AI effectively to better results, one should understand the theory behind software design. It starts with basics like clean function design and object-oriented principles, then advances to SOLID principles, design patterns, and Onion architecture. Readers will learn essential testing methods, including unit, integration, and acceptance tests using BDD and Specflow. The guide covers API development, focusing on security, validation, error handling, and external system integration. It also explains CI/CD pipelines using Azure DevOps, including build and deployment pipelines with YAML configurations.Lastly, this book teaches us to embrace the changes in software requirements. The end goal is to teach a reader how to implement changes in software with minimum change to existing lines of code.You will be well-equipped to leverage AI as a valuable asset in your software development toolbox.Key Features● Using AI tools to enhance your development process, from code generation to testing.● Build a real-world Nutrition Advisor application from start to finish, applying the concepts and techniques learned throughout the book.● Discover how to write clean, maintainable code using SOLID principles.What you will learn● The fundamentals of software design like KISS, OOP, SOLID, and key design Patterns.● Use Effective prompt engineering for generating code, refactoring, testing, and reviewing.● Code review both for human and AI-generated code.● Design which minimizes changes when new requirements are introduced.● Build .NET REST Web API with tests.● Build CI/CD pipelines to deploy to Azure.Who this book is forThis book is intended for software developers, aspiring programmers, and students in computer science or related fields who have a basic understanding of programming concepts and are eager to deepen their knowledge of software design principles and best practices.Table of Contents1. Clean Functions2. Object Oriented Programming3. SOLID Principles4. Design Patterns5. Unit Testing6. Building a Web API7. ChatGPT Integration to WebAPI8. Clean Architecture9. Continuous Integration10. Continuous DeploymentAppendix A: Final ThoughtsAppendix B: Cheat Sheet
| Publisher | BPB Publications |
| Publication date | 31 Dec. 2024 |
| Language | English |
| Print length | 288 pages |
| ISBN-10 | 9365892422 |
| ISBN-13 | 978-9365892420 |
| Dimensions | 19.05 x 1.65 x 23.5 cm |
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English edition Almantas Karpavičius Format: Paperback Editorial Review
Software Craftsmanship Using AI: Practical Guide For Using LLMs In Writing Reviewing And Testing Code (English Edition) offers an insightful exploration of employing large language models in software development practices. The book, published by BPB Publications, encompasses 288 pages of valuable content designed for both aspiring and experienced developers. It guides readers on effectively integrating AI tools into their coding processes, enhancing productivity and code quality. The publication date set for December 31, 2024, hints at its fresh and up-to-date approach to the evolving tech landscape. It's a must-read for anyone interested in merging AI technologies with software craftsmanship.
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Pros
- In-depth exploration of AI in software development
- Practical guidance for using LLMs effectively
- Well-structured content for easy understanding
- Targeted at both beginners and experienced developers
- Future-focused insights for evolving technology
Cons
- Might not cover advanced AI topics in depth
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