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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
Tools
Concepts
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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 FREE CHAPTER
2. Chapter 1: Introduction to Generative AI-Powered Assistants 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

Multi-line prompts for auto-code generation

Multi-line prompts for auto-code generation refer to the technique where a user can define requirements using natural language text in a single prompt, which can span multiple sentences. Based on the information provided in each of the sentences, the code assistant then tries to understand the correlation among them in order to grasp the requirements and generate the desired code.

The code assistant will mainly rely on key phrases from each of the sentences; it will then use each of those key phrases to form a relationship among all the sentences. This guides code assistants to use LLMs to form a sequence of code lines to meet the requirement. In most cases, code assistants will generate multiple lines of code.

Here are some key points about multi-line prompts for auto-code generation:

  • Multi-line prompts for auto-code generation are useful when the code requirement is relatively complex, has multiple steps, and cannot be easily...
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