Coding with AI: Examples in Python

Description

Coding with AI: Examples in Python.

Boost your software development workflow with the power of generative AI.

Modern AI coding assistants are transforming the way developers build software, making it possible to automate many of the repetitive and time-consuming tasks involved in software engineering. Coding with AI is a practical guide that teaches professional developers how to use generative AI tools to improve productivity, write better code, and streamline every stage of the development process.

Instead of replacing developers, AI serves as an intelligent coding partner—helping with research, software design, code generation, debugging, testing, documentation, refactoring, and more. Through hands-on Python projects and real-world examples, this book demonstrates how to integrate AI into your daily workflow while avoiding common pitfalls such as inaccurate outputs and overreliance on generated code.

Inside this book, you’ll learn how to:

• Integrate AI-powered coding assistants into your software development process.
• Generate high-quality documentation, automated tests, and technical content.
• Debug, optimize, and refactor applications more efficiently.
• Design reusable prompts that consistently produce better AI-generated results.
• Apply AI to database development, backend engineering, user interface creation, and automated testing.
• Recognize the strengths and limitations of AI to produce more reliable, maintainable software.

The book introduces a structured approach to AI-assisted programming, showing how developers can combine human expertise with AI capabilities to solve complex problems, accelerate coding tasks, and improve software quality. Along the way, you’ll explore practical techniques for prompt engineering, code generation, and collaborative development using today’s leading AI tools.

What’s covered:

• Understanding the fundamentals of generative AI for software development.
• Getting started with AI-assisted coding workflows.
• Using AI during software design and project planning.
• Generating application code with modern AI coding assistants.
• Building user interfaces with conversational AI.
• Creating effective automated tests using generative AI.
• Prompt engineering strategies for consistent, high-quality results.
• Applying AI to rapid application development and experimental coding projects.

Written for professional software developers with examples in Python, this book focuses on practical techniques that can be immediately applied to real-world projects. Whether you’re looking to improve efficiency, reduce repetitive work, or explore the future of AI-assisted programming, Coding with AI provides the knowledge and hands-on experience needed to make AI a valuable part of your development toolkit.

Authored by experienced software engineer Jeremy C. Morgan, this guide combines industry expertise with practical examples to help developers confidently adopt AI-powered software development in modern engineering environments.