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Generative AI-Powered Assistant for Developers

You're reading from   Generative AI-Powered Assistant for Developers Accelerate software development with Amazon Q Developer

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835089149
Length 416 pages
Edition 1st Edition
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Authors (2):
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Behram Irani Behram Irani
Author Profile Icon Behram Irani
Behram Irani
Rahul Sonawane Rahul Sonawane
Author Profile Icon Rahul Sonawane
Rahul Sonawane
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Table of Contents (23) Chapters Close

Preface 1. Part 1:Generative AI-Powered Assistant
2. Chapter 1: Introduction to Generative AI-Powered Assistants FREE CHAPTER 3. Chapter 2: Introducing and Setting Up Amazon Q Developer 4. Part 2:Generate Code Recommendations
5. Chapter 3: Understanding Auto-Code Generation Techniques 6. Chapter 4: Boost Coding Efficiency for Python and Java with Auto-Code Generation 7. Chapter 5: Boost Coding Efficiency for C and C++ with Auto-Code Generation 8. Chapter 6: Boost Coding Efficiency for JavaScript and PHP with Auto-Code Generation 9. Chapter 7: Boost Coding Efficiency for SQL with Auto-Code Generation 10. Chapter 8: Boost Coding Efficiency for Command-Line and Shell Script with Auto-Code Generation 11. Chapter 9: Boost Coding Efficiency for JSON, YAML, and HCL with Auto-Code Generation 12. Part 3:Advanced Assistant Features
13. Chapter 10: Customizing Code Recommendations 14. Chapter 11: Understanding Code References 15. Chapter 12: Simplifying Code Explanation, Optimization, Transformation, and Feature Development 16. Chapter 13: Simplifying Scanning and Fixing Security Vulnerabilities in Code 17. Part 4:Accelerate Build on AWS
18. Chapter 14: Accelerate Data Engineering on AWS 19. Chapter 15: Accelerate Building Solutions on AWS 20. Chapter 16: Accelerate the DevOps Process on AWS 21. Index 22. Other Books You May Enjoy

Generative AI-powered assistants for developers/builders

Generative AI-powered assistants work by leveraging advanced machine learning models, primarily trained on vast amounts of code and natural language data. Under the hood, these models analyze patterns and structures in existing code to predict and generate new code snippets. When a developer inputs a prompt or a partially written piece of code, the AI processes this input using deep learning techniques, understanding the context, syntax, and semantics. It then generates relevant code completions, suggestions, or even entire functions, mimicking the style and conventions of the existing code base.

Additionally, these assistants continuously learn and improve from user interactions, adapting to specific coding styles and preferences, thereby providing increasingly accurate and context-aware assistance over time. This intricate process of pattern recognition, contextual understanding, and continuous learning allows generative...

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Generative AI-Powered Assistant for Developers
Published in: Aug 2024
Publisher: Packt
ISBN-13: 9781835089149
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