Ai-Assisted Coding: The Practical Guide for Software Development - Michael Kofler

\nGenerative AI is transforming software development. Stay on the cutting edge with this guide to AI pair programming! Learn how to make the most of modern tools like ChatGPT and GitHub Copilot to improve your coding. Automate refactoring, debugging, and other tedious tasks, and use techniques such as prompt engineering and retrieval-augmented generation to get the code you need. Follow practical examples that show how you can program faster, more efficiently, and with fewer errors with the help of AI. \n \nIn this book, you'll learn about: \n \na. Hype versus Reality \nLearn from expert developers to understand the possibilities (and pitfalls) of AI tools. With the help of practical code examples, see how to use AI helpers correctly to their full potential. \n \nb. Assistants for All Tasks \nThis guide gives you an up-to-date overview of all aspects of AI-assisted coding: GitHub Copilot autocompletions, project bootstrapping with OpenHands, debugging and refactoring, application development, and more. \n \nc. In the Cloud or Local? \nUse OpenAI's API to integrate AI models directly into your own scripts and automations--or use local large language models (LLMs) to work independently of cloud services. \n \n \nHighlights include: \n \n1) Structured programming with AI \n2) Debugging \n3) Unit testing \n4) Refactoring \n5) Automatic document creation \n6) Database development and design \n7) Scripting and administration \n8) Local large language models (LLMs) \n9) Retrieval-augmented generation (RAG) \n10) ChatGPT and GitHub Copilot \n11) OpenHands \n12) OpenAI API \n\n