AI CODECRAFT

What if you could use AI coding agents to do more than generate code? Learn how to turn Claude Code and OpenAI Codex into practical development partners for exploring repositories, building features, debugging problems, testing applications, and delivering better software-with you remaining in control of the results.

AI-assisted programming is changing how developers write, maintain, and deliver software. But getting useful results requires more than entering a prompt and accepting the generated code. You need to provide clear instructions, establish project context, understand proposed changes, manage permissions, and verify that the solution works as intended.

AI Codecraft is a practical guide to using Claude Code and OpenAI Codex throughout the software development lifecycle. You will learn how to get started with both tools, write effective prompts, create reusable project instructions, explore unfamiliar codebases, generate and refactor code, investigate errors, and develop meaningful tests. The book also introduces workflows for Git, code review, automation, delegated tasks, security, cost management, and software delivery.

Rather than treating AI as a replacement for programming knowledge, this guide emphasizes disciplined engineering practices that help you work more effectively with coding agents. Through focused examples and practical workflows, you will learn to break complex tasks into manageable steps, review AI-generated changes, investigate failures, and use testing and version control to reduce risk. Whether you are adopting AI coding agents for the first time or integrating them into an existing development workflow, this book will help you approach AI-assisted programming with greater confidence and control.

• Master Claude Code and OpenAI Codex: Understand their capabilities, workflows, configuration, and practical applications in software development.

• Write more effective prompts: Communicate requirements, constraints, project context, and acceptance criteria so coding agents can work toward clearer outcomes.

• Improve everyday coding workflows: Explore repositories, generate features, refactor implementations, debug errors, and create regression tests with AI assistance.

• Build reliable development practices: Use Git, code review, testing, permissions, and security checks to evaluate changes before accepting them.

• Move from experimentation to delivery: Explore reusable instructions, automation, delegated workflows, cost awareness, and practical software-development projects.

Glen O. Hubbard is the author of AI Codecraft, a practical guide to AI-assisted programming and modern software-development workflows. His work focuses on helping readers understand and apply technical tools through clear explanations and hands-on examples.

Ready to make AI coding agents a more effective part of your development workflow? Get your copy of AI Codecraft and learn how to prompt more clearly, work with code more confidently, and build a repeatable process for generating, debugging, testing, and delivering software.