商品描述
Generative AI has changed the landscape of programming. How can AI tools be used effectively and safely, and what is the role of human programmers now?
This unique textbook/guide is a comprehensive introduction to using generative AI in programming. Based on both practical experience and scientific studies, it shows how AI tools can be applied effectively to programmers' tasks--such as information retrieval, code generation, test creation, and code analysis. The book explores both the new possibilities and the risks of using generative AI, emphasizing the importance of programmers' expertise: Whereas AI tools can make programmers more productive, their use may also lead to serious problems. The book also addresses how learning and teaching programming are evolving in the era of generative AI.
Topics and features:
- Explains how large language models work under the hood, and how this affects their abilities and limitations
- Includes a wealth of practical examples of using AI tools in a variety of programming languages
- Offers advice on how to build effective prompts for tasks such as generating professional code and learning new programming languages
- Explores recent scientific literature on using generative AI in software development and programming education
- Shows how generative AI connects to the history of programming, including developments in programming paradigms and abstractions
This textbook is an ideal guide for students and programmers wishing to understand the role of generative AI in programming, as well as to learn both how to use AI tools in practice and the theory behind them. The book assumes basic programming knowledge, but no prior experience with AI tools is necessary. It is suitable both for beginners learning programming and for experienced programmers looking to update their skills.
商品描述(中文翻譯)
生成式人工智慧改變了程式設計的格局。如何有效且安全地使用人工智慧工具，並且人類程式設計師的角色又是什麼？
這本獨特的教科書/指南是使用生成式人工智慧於程式設計的全面介紹。基於實務經驗和科學研究，它展示了如何有效地將人工智慧工具應用於程式設計師的任務，例如資訊檢索、程式碼生成、測試創建和程式碼分析。這本書探討了使用生成式人工智慧的新可能性和風險，強調程式設計師專業知識的重要性：雖然人工智慧工具可以提高程式設計師的生產力，但其使用也可能導致嚴重的問題。這本書還討論了在生成式人工智慧時代，學習和教學程式設計的演變。
**主題與特色：**
- 解釋大型語言模型的運作原理，以及這如何影響它們的能力和限制
- 包含大量在各種程式語言中使用人工智慧工具的實務範例
- 提供如何為生成專業程式碼和學習新程式語言等任務建立有效提示的建議
- 探討最近的科學文獻，關於在軟體開發和程式設計教育中使用生成式人工智慧
- 展示生成式人工智慧如何與程式設計的歷史相連，包括程式設計範式和抽象的發展
這本教科書是希望了解生成式人工智慧在程式設計中角色的學生和程式設計師的理想指南，同時學習如何在實務中使用人工智慧工具及其背後的理論。這本書假設讀者具備基本的程式設計知識，但不需要有使用人工智慧工具的先前經驗。它適合初學者學習程式設計，也適合希望更新技能的經驗豐富的程式設計師。
作者簡介
Dr. Antti Laaksonen has worked as a teacher and researcher at the University of Helsinki and Aalto University, Finland. He has established experience in teaching programming and algorithms and is author of the Springer textbook, Guide to Competitive Programming, now in its 3rd edition.
作者簡介(中文翻譯)
安提·拉克索寧博士曾在芬蘭赫爾辛基大學和阿爾托大學擔任教師和研究員。他在程式設計和演算法教學方面擁有豐富的經驗，並且是Springer教科書《競賽程式設計指南》的作者，目前已進入第三版。
