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).
Youll 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
Author: Tom Taulli
Binding Type: Paperback
Publisher: OReilly Media
Published: 05/21/2024
Pages: 222
Weight: 0.8lbs
Size: 9.19h x 7.00w x 0.47d
ISBN: 9781098164560
Language: English
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