Supercharged Coding with GenAI: From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI (Record no. 51962)

MARC details
000 -LEADER
fixed length control field 02369 a2200205 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251126210035.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781836645290
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1 HER
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Herszfang, Hila Paz
245 ## - TITLE STATEMENT
Title Supercharged Coding with GenAI: From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Packt Publishing Ltd.
Date of publication, distribution, etc 2025
Place of publication, distribution, etc UK
300 ## - PHYSICAL DESCRIPTION
Extent 425
520 ## - SUMMARY, ETC.
Summary, etc Software development is being transformed by GenAI tools, such as ChatGPT, OpenAI API, and GitHub Copilot, redefining how developers work. This book will help you become a power user of GenAI for Python code generation, enabling you to write better software faster. Written by an ML advisor with a thriving tech social media presence and a top AI leader who brings Harvard-level instruction to the table, this book combines practical industry insights with academic expertise. With this book, you'll gain a deep understanding of large language models (LLMs) and develop a systematic approach to solving complex tasks with AI. Through real-world examples and practical exercises, you'll master best practices for leveraging GenAI, including prompt engineering techniques like few-shot learning and Chain-of-Thought (CoT). Going beyond simple code generation, this book teaches you how to automate debugging, refactoring, performance optimization, testing, and monitoring. By applying reusable prompt frameworks and AI-driven workflows, you'll streamline your software development lifecycle (SDLC) and produce high-quality, well-structured code. By the end of this book, you'll know how to select the right AI tool for each task, boost efficiency, and anticipate your next coding moves-helping you stay ahead in the AI-powered development era.<br/>What you will learn<br/>Work with GitHub Copilot in PyCharm, VS Code, and Jupyter Notebook<br/>Apply advanced prompting methods with ChatGPT and OpenAI API<br/>Gain insight into GenAI fundamentals to achieve better outcomes<br/>Adopt our structured framework to produce high-quality code<br/>Find out how to select the optimal GenAI tool for solving your specific tasks<br/>Elevate your use of GenAI tools from debugging to delivery<br/>Join the next generation of supercharged software engineers
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Coding With AI
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ChatGPT
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element OpenAI
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Copilot,
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Henstock, Peter V.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.