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 >
