Coding with AI

<p>Developers waste hours on repetitive coding tasks. <em>Coding with AI</em> shows you how to hand them to a tireless assistant. Learn to integrate AI tools into real-world Python projects, write faster, debug smarter, and focus on the problems that matter most. </p> <p>Here’s how this hands-on, developer-to-developer guide will help you: </p> <ul> <li><strong>Incorporate AI tools into your development workflow</strong>: Understand core AI algorithms like AI coding, generative AI. <br><strong>Create pro-quality documentation and tests</strong>: Python projects demonstrate how to create documentation using AI. </li> </ul> <ul> <li><strong>Debug and refactor software efficiently</strong>: Debugging with AI helps to debug software efficiently. </li> </ul> <ul> <li><strong>Create and organize reusable prompts</strong>: Prompt engineering helps to create reusable prompts for different purposes. </li> </ul> <ul> <li><strong>Best-practice workflows:</strong> Integrate testing, version control, and continuous delivery into AI powered codebases. </li> </ul> <p><em>Coding with AI:</em> <em>Examples in Python </em>by Jeremy Morgan is a pragmatic, code-first blueprint available in print and eBook. Drawing on two decades of engineering experience, Morgan shows how to integrate AI into your Python projects with confidence. </p> <p>Each chapter introduces an AI concept, then walks you through a complete Python implementation you can reuse. Explanations are practical and focus on what is needed for building maintainable, production-ready systems. Sidebars highlight common pitfalls which you can avoid and performance tricks which you may need. </p> <p>By the end of this book, you will be able to prototype, evaluate, and deploy AI features with confidence and measurable impact. You will write cleaner code and choose better models. </p> <p>Ideal for software engineers, data scientists, and technical leads seeking practical recipes for integrating AI into everyday applications.</p>