Year of publication : 2024
Format : PDF
Quality : Publisher's layout or text (eBook)
Interactive table of contents : Yes
Number of pages : 225
Description : Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer) .
You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation.
Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another.
This book examines:
• The core capabilities of AI-based development tools
• Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer
• Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding
• Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing
• Prompt engineering for development
• Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions
• How to use AI-based low-code and no-code tools, such as to create professional UIs
Who Should Read This Book:
This book is for any developer, whether you're just starting out or you've been in the game for many years.
Get practical tips on how to use AI development tools throughout all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. In this book, both new and experienced developers will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to programming-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer).
You'll also learn about more specialized AI tools for tasks such as text-to-image conversion.
Author Tom Taulli proposes a modular programming methodology that effectively aligns with how hints generate AI-generated code. This guide also describes the best ways to use a general purpose LLM to learn a programming language, explain code, or convert code from one language to another.
This book covers:
• Basic capabilities of AI development tools
• Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer
• How to use ChatGPT, Gemini, Claude and other general-purpose LLMs for programming
• Using development tools with using AI throughout the software development lifecycle, including requirements, planning, coding, debugging and testing
• Operational design for development
• Using AI programming to perform tedious tasks such as creating regular expressions, bootstrap code, object classes -oriented programming and actions on GitHub
• How to use AI-powered low- and no-code tools, such as to create professional user interfaces
Who should read this book:
This book is for any developer, whether you're just starting out or has been on the topic for many years.