October 2025
Intermediate
8h 36m
English
Closed Captioning available in German, English, Spanish, French, Italian, Japanese
Overview
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Practical techniques to accelerate software development using generative AI.
Let’s get real. You’d like to hand off a lot of tedious software development tasks to an assistant—and now you can! AI-powered coding tools like Copilot can accelerate research, design, code creation, testing, troubleshooting, documentation, refactoring and more. Coding with AI shows you how. Written for working developers, this book fast-tracks you to AI-powered productivity with bite-size projects, tested prompts, and techniques for getting the most out of AI.
In Coding with AI you’ll learn how to:
- Incorporate AI tools into your development workflow
- Create pro-quality documentation and tests
- Debug and refactor software efficiently
- Create and organize reusable prompts
Coding with AI takes you through several small Python projects with the help of AI tools, showing you exactly how to use AI to create and refine real software. This book skips the baby steps and goes straight to the techniques you’ll use on the job, every day. You’ll learn to sidestep AI inefficiencies like hallucination and identify the places where AI can save you the most time and effort.
About the Technology
Taking a systematic approach to coding with Al will deliver the clarity, consistency, and scalability you need for production-grade applications. With practice, you can use AI tools to break down complex problems, generate maintainable code, enhance your models, and streamline debugging, testing, and collaboration. As you learn to work with AI’s strengths—and recognize its limitations—you’ll build more reliable software and find that the quality of your generated code improves significantly.
About the Book
Coding with AI shows you how to gain massive benefits from a powerful array of AI-driven development tools and techniques. And it shares the insights and methods you need to use them effectively in professional projects. Following realistic examples, you’ll learn AI coding for database integration, designing a UI, and establishing an automated testing suite. You’ll even vibe code a game—but only after you’ve built a rock-solid foundation.
What's Inside
- Incorporate AI into your development workflow
- Create pro-quality documentation and tests
- Debug and refactor software efficiently
- Create and organize reusable prompts
About the Reader
For professional software developers. Examples in Python.
About the Author
Jeremy C. Morgan has two decades of experience as an engineer building software for everything from Fortune 100 companies to tiny startups.
Quotes
Delivers exactly what working developers need: practical techniques that actually work.
- Scott Hanselman, Microsoft
You’ll be writing prompt engineering poetry.
- Lars Klint, Atlassian
Blends years of software experience with hands-on knowledge of top AI coding techniques. Essential.
- Steve Buchanan, Jamf
Detailed use of AI in real-world applications. A great job!
- Santosh Yadav, Celonis
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