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.
In this book, you'll learn about:
a. 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.
b. 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.
c. 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:
1) Structured programming with AI
2) Debugging
3) Unit testing
4) Refactoring
5) Automatic document creation
6) Database development and design
7) Scripting and administration
8) Local large language models (LLMs)
9) Retrieval-augmented generation (RAG)
10) ChatGPT and GitHub Copilot
11) OpenHands
12) OpenAI API
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Michael Kofler is a programmer and one of the most successful and versatile computing authors in the German-speaking world. His current topics include AI, Linux, Docker, Git, hacking and security, Raspberry Pi, and the programming languages Swift, Java, Python, and Kotlin. Michael also teaches at the Joanneum University of Applied Sciences in Kapfenberg, Austria.
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. He is particularly interested in local large language models (LLMs) and advancements such as OpenHands and retrieval-augmented generation (RAG).
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. He inspires enthusiasm for professional development with JavaScript as a lecturer for JavaScript, a speaker at numerous conferences, and an author. Sebastian was previously a team leader at Mayflower GmbH, a premier web development agency in Germany. He was responsible for project and team management, architecture, and customer care for companies such as Nintendo Europe and Siemens.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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. In this book, you'll learn about: a. 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. b. 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. c. 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: 1) Structured programming with AI2) Debugging 3) Unit testing4) Refactoring5) Automatic document creation6) Database development and design7) Scripting and administration8) Local large language models (LLMs)9) Retrieval-augmented generation (RAG)10) ChatGPT and GitHub Copilot11) OpenHands12) OpenAI API Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781493226931
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