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Can I read Supercharged Coding with GenAI: From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI on EtoBox?
Supercharged Coding with GenAI: From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI by Hila Paz Herszfang, Peter V. Henstock, Mike Erlihson is a nonfiction available to read on EtoBox.
What is Supercharged Coding with GenAI: From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI about?
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 righ
Who reads Supercharged Coding with GenAI: From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hila Paz Herszfang, Peter V. Henstock, Mike Erlihson
- Publisher
- Packt Publishing
- Published
- 2025
- Language
- EN
- ISBN
- 9781805801351
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
- Updated
- 2026-03-25
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