Guide to Using Generative AI in Programming

Generative AI can help with real programming tasks—but using its output well takes more than writing a prompt. Antti Laaksonen’s Guide to Using Generative AI in Programming looks at both sides of that relationship: practical ways to work with AI tools and the programming knowledge needed to judge what they produce.

Moving from the foundations of generative AI to its applications in everyday programming, the book offers a thoughtful introduction for readers who want to make use of these tools without handing over their understanding of the code.

From information retrieval to code analysis

The book explores a range of programming tasks where AI may be applied, including information retrieval, code generation, testing, and code analysis. It also considers how to write more effective prompts and explains how ideas behind large language models relate to their capabilities and limitations.

Practical examples across programming languages give the discussion a hands-on dimension, while the attention to risks helps keep the focus on using AI thoughtfully—not simply generating code and hoping for the best.

Keep the programmer in the picture

A central concern is the role of human expertise. AI tools may make programming work more efficient, but code that a programmer cannot understand or assess can create serious problems. Laaksonen also considers what AI means for learning programming, teaching it, software development, and the future of the field.

A useful starting point for students and programmers

The book assumes basic programming knowledge, but no previous experience with AI tools. It can suit students beginning to explore generative AI, educators considering its place in programming instruction, and experienced programmers looking to understand both practical uses and underlying ideas.

For readers who want a clear, considered account of AI-assisted programming—with the benefits and the cautions kept together—this textbook provides a structured place to begin. 💻