AI-Assisted Coding

AI-Assisted Coding is a hands-on guide to bringing generative AI into everyday software development. Written by Michael Kofler, Bernd Öggl, and Sebastian Springer, it combines practical coding scenarios with a clear look at the tools and concepts behind them, making it especially useful for developers who want more than a surface-level introduction.

From AI Fundamentals to Real Coding Work

The book starts by grounding readers in the basics of large language models, including how they work, how prompts turn into responses, and where their limits show up in practice. From there, it moves quickly into concrete development tasks, showing how AI support can fit into workflows without replacing the need for careful review and solid programming judgment.

Practical Coverage Across the Development Cycle

• pair programming with AI tools
• debugging and troubleshooting
• refactoring and code cleanup
• software testing and test-driven development
• documentation and API writing
• database work and SQL tasks
• scripting and system administration

This breadth gives the book a notably workshop-like feel. Instead of treating AI coding as an abstract trend, it focuses on tasks developers actually face: splitting code into functions, checking data formats, generating tests, documenting software, and handling operational scripting jobs.

Built for Working Developers

The chapter sequence suggests a readership of developers, technical practitioners, and teams exploring how AI can support real projects. The material appears to bridge beginner-friendly explanation and professional use, which makes it appealing if you want a practical guide that stays close to day-to-day programming work.

For customers browsing Digital Delights, this is a strong fit if you are looking for a software development ebook centered on AI-assisted programming techniques rather than general AI theory.