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 (Chat GPT, Gemini, and Claude) to code-specific systems (Git Hub Copilot, Tabnine, Cursor, and Amazon Code Whisperer).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 Git Hub Copilot and Amazon Code Whisperer Ways to use Chat GPT, 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 Git Hub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs
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