دانلود کتاب راهنمای استفاده از هوش مصنوعی مولد در برنامه‌نویسی

The purpose of this book is to show how generative AI can help with programming. The book is intended for readers who already know how to program and want to learn more about using AI tools in programming. The topics covered in the book include information retrieval, code generation, code testing, and code analysis using AI tools. The book takes a practical approach and provides many examples in different programming languages. It also discusses related scientific research. In addition, the book examines the role of AI tools in learning programming. Since the author teaches programming at a university, there is a particular focus on learning at the university level. The topic is discussed from both the student’s and the teacher’s perspectives. However, regardless of a person’s role, the goal is to find effective ways to learn programming. The book also highlights the risks associated with using AI tools. In software development, there is a risk that the solution suggested by AI may not work as intended. For this reason, programmers should understand and check the code they use, no matter who wrote it. Code produced by AI should be treated with the same caution as any unknown code. Another risk, especially related to learning programming, is that using generative AI can hinder the development of independent programming and problem-solving skills. Although AI tools are impressive at generating code, the important thing when learning programming is not the final code, but the process that leads to it. The book consists of 12 chapters with the following topics: . In this chapter gives an overview of the book’s content and structure, and explains how AI was used in the writing process. . Chapter 2 discusses the development of programming and AI since the 1950s, when the first high-level programming languages were created. . Chapter 3 introduces the use of tools based on generative AI in programming, as well as the technology behind large language models. . Chapter 4 focuses on information retrieval related to programming and compares traditional web search engines with new AI tools. . Chapter 5 shows how AI tools can be used to generate code and gives advice on designing prompts and different use cases. . Chapter 6 discusses AI-assisted code testing, including unit tests and extensive testing with a test generator. . Chapter 7 focuses on code analysis using AI, such as performing code reviews and translating code from one programming language to another. . Chapter 8 highlights the limitations of AI tools and explains how these are related to the way language models are built and trained. . Chapter 9 provides examples of how generative AI can be used in software devel-opment to efficiently produce components. . Chapter 10 discusses learning programming with the help of AI and highlights both the opportunities and risks related to learning. . Chapter 11 examines the use of AI in learning from the teacher’s perspective, including how to identify code generated by AI. . Chapter 12 presents views on how AI will shape the future of software development and learning programming.