Supercharged Coding with GenAI
Packt Publishing Limited (Verlag)
978-1-83664-529-0 (ISBN)
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Key Features
Discover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivity
Push beyond the basics to apply advanced techniques across the software development lifecycle
Master best practices and advanced techniques to achieve quality code for even complex tasks
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionSoftware 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.What you will learn
Work with GitHub Copilot in PyCharm, VS Code, and Jupyter Notebook
Apply advanced prompting methods with ChatGPT and OpenAI API
Gain insight into GenAI fundamentals to achieve better outcomes
Adopt our structured framework to produce high-quality code
Find out how to select the optimal GenAI tool for solving your specific tasks
Elevate your use of GenAI tools from debugging to delivery
Join the next generation of supercharged software engineers
Who this book is forIf you are a Python developer curious about GenAI and are looking to elevate your software engineering productivity, Supercharged Coding with GenAI will transform your approach to software. Covering various structured examples of varying problem complexities that showcase the use of advanced prompting techniques, this book is suitable for early intermediate through advanced developers. To get the most out of this book, you should have at least one year of hands-on Python development experience and be somewhat familiar with the SDLC.
Hila Paz Herszfang, with seven years of building machine learning (ML) services and leading teams, holds a master's degree in information management systems and is completing a second master's in data science, both from Harvard Extension School. She developed a Python for MLOps Udemy course and runs a math and tech TikTok channel boasting 15K followers and 300K+ likes. Peter V. Henstock is an AI expert with 25+ years of experience at Pfizer, Incyte, and MIT LL. He teaches graduate software engineering and AI/ML courses at Harvard Extension School. He holds a PhD in AI from Purdue and seven Master's degrees. Recognized as a top AI leader by DKA, Peter guides professionals in AI/ML, software, visualization, and statistics.
Table of Contents
From Automation to Full Software Development Life Cycle: The Current Opportunity for GenAI
Your Quickstart Guide to OpenAI API
A Guide to GitHub Copilot with PyCharm, VS Code, and Jupyter Notebook
Best Practices for Prompting with ChatGPT
Best Practices for Prompting with OpenAI API and GitHub Copilot
Behind the Scenes: How ChatGPT, GitHub Copilot, and Other LLMs Work
Reading and Understanding Code Bases with GenAI
An Introduction to Prompt Engineering
Advanced Prompt Engineering for Coding-Related Tasks
Refactoring Code with GenAI
Fine-Tuning Models with OpenAI
Documenting Code with GenAI
Writing and Maintaining Unit Tests
GenAI for Runtime and Memory Management
Going Live with GenAI: Logging, Monitoring, and Errors
Architecture, Design, and the Future
| Erscheinungsdatum | 29.04.2025 |
|---|---|
| Vorwort | Mike Erlihson, Alice Fridberg |
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-83664-529-5 / 1836645295 |
| ISBN-13 | 978-1-83664-529-0 / 9781836645290 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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