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  • Book Overview & Buying Supercharged Coding with GenAI
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Supercharged Coding with GenAI

Supercharged Coding with GenAI

By : Hila Paz Herszfang, Peter V. Henstock
5 (1)
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Supercharged Coding with GenAI

Supercharged Coding with GenAI

5 (1)
By: Hila Paz Herszfang, Peter V. Henstock

Overview of this book

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.
Table of Contents (23 chapters)
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Lock Free Chapter
1
Part 1: Foundations for Coding with GenAI
7
Part 2: Basics to Advanced LLM Prompting for GenAI Coding
14
Part 3: From Code to Production with GenAI
21
Index
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Index

Symbols

__call__ method 110

A

AI pair programmer 45

AI winter 6

American Invitational Mathematics Examination (AIME) 78

application programming interface (API) 10, 17

artificial intelligence (AI) 6, 389

assistant prompts 19, 107

B

Big-O notation 262, 337

C

calculate_distance function 250

calls

call parameters, customizing with ChatGPT and OpenAI 182, 183

code debugging, with GitHub Copilot 177-179

creating, with example parameters 175, 176

central processing unit (CPU) 336

chained prompts, code optimization 351

runtime optimization 352-354

space optimization 354-357

chaining 209

chain-of-thought (CoT) 209, 241, 361

refactoring 250, 251

refactoring, with ChatGPT 254, 255

refactoring, with GitHub Copilot 251-253

refactoring, with OpenAI API 254, 255

ChatGPT 9, 154, 155

chaining 228-231

for testing 318-320

used, for explaining code 166-168

used, for performance...

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83
Tech Concepts
36
Programming languages
73
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Supercharged Coding with GenAI
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