Master AI tools and techniques to optimize your code!

AI-Assisted Coding The Practical Guide for Software Development

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Print edition E-book Bundle
395 pages, , Print edition paperback
ISBN 978-1-4932-2693-1
395 pages,
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2694-8
395 pages, , Print edition paperback
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2695-5
Generative 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.
  • Optimize your daily development tasks with AI
  • Work with tools like GitHub Copilot, ChatGPT, and OpenHands to generate code, refactor programs, and debug scripts
  • Explore AI options for database design, unit testing, documentation, administration, and more
About the Book About the E-book 380 pages, paperback. Reference book format 7 x 10 in. Printed black and white on 50# offset paper from sustainable sources. Reader-friendly serif font (TheAntiquaB 9.5 Pt.). One-column layout. E-book in full color. PDF and EPUB files for download, DRM-free with personalized digital watermark. Copy and paste, bookmarks, and print-out permitted. Table of contents, in-text references, and index fully linked. Including online book edition in dedicated reader application.

In this book, you’ll learn about:

  1. Hype versus Reality

    Learn 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.

  2. Assistants for All Tasks

    This 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.

  3. In the Cloud or Local?

    Use 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.

Highlights include:

  • Structured programming with AI
  • Debugging
  • Unit testing
  • Refactoring
  • Automatic document creation
  • Database development and design
  • Scripting and administration
  • Local large language models (LLMs)
  • Retrieval-augmented generation (RAG)
  • ChatGPT and GitHub Copilot
  • OpenHands
  • OpenAI API

Michael Kofler is a programmer and one of the most successful and versatile computing authors in the German-speaking world.

Bernd Öggl is an experienced system administrator and programmer. He enjoys experimenting with new technologies and works with AI in software development using GitHub Copilot.

Sebastian Springer is a JavaScript engineer at MaibornWolff. In addition to developing and designing both client-side and server-side JavaScript applications, he focuses on imparting knowledge.

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