Supercharged Coding with GenAI. From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI (ebook) Lędziny

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. Spis treści: 1. From Automation to Full Software Development Life Cycle: The Current Opportunity for GenAI 2. Your Quickstart Guide to OpenAI API3. A Guide to GitHub Copilot with PyCharm, VS Code, and Jupyter Notebook4. Best Practices for Prompting with ChatGPT5. Best Practices for Prompting with OpenAI API and GitHub Copilot6. Behind the Scenes: How ChatGPT, GitHub Copilot, and Other LLMs Work 7. Reading and Understanding Code Bases with GenAI 8. An Introduction to Prompt Engineering9. Advanced Prompt Engineering for Coding-Related Tasks10. Refactoring Code with GenAI11. Fine-Tuning Models with OpenAI 12. Documenting Code with GenAI 13. Writing and Maintaining Unit Tests 14. GenAI for Runtime and Memory Management 15. Going Live with GenAI: Logging, Monitoring, and Errors 16. Architecture, Design, and the Future