Ai-assisted Programming: Better Planning, Coding, Testing, and Deployment

Ai-assisted Programming:Better Planning, Coding, Testing, and Deployment

by: Tom Taulli (Author)

Publisher: Oreilly & Associates Inc

Publication Date: 21 May 2024

Language: English

Print Length: 225 pages

ISBN-10: 1098164563

ISBN-13: 9781098164560

Book 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 lea 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 lea 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 lea a programming language, explain code, or convert code from one language to another.This book examines:The core capabilities of AI-based development toolsPros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhispererWays to use ChatGPT, Gemini, Claude, and other generic LLMs for codingUsing AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testingPrompt engineering for developmentUsing AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub ActionsHow to use AI-based low-code and no-code tools, such as to create professional UIs

About the Author

About the Author Tom Taulli (@ttaulli) is a consultant to various companies, such as Aisera, a venture-backed generative AI startup. He has written several books like AI Basics and Generative AI, which covers ChatGPT, GPT-4 and other large-language models (LLMs). Tom has also taught IT courses for O'Reilly, UCLA andPluralSight. For these, he has provided lessons in using Python to create deep leaing and machine leaing models. He has also taught on topics like NLP (Natural Language Processing).

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