Practical Agentic Coding With Opencode: Hands-On Guide to AI-Assisted Programming, Intelligent Automation, and Modern Software Development (Build with AI: Design, Build, Scale AI Systems)

Stop treating AI as just a tool for writing code. Learn how to make it an active partner in your software development workflow.

Artificial intelligence is changing how software is built, tested, debugged, and maintained. But getting reliable results requires more than entering prompts and hoping for the best. You need the right workflows, clear instructions, effective context management, and a systematic approach to reviewing AI-generated code.

Practical Agentic Coding with OpenCode is a hands-on guide to AI-assisted programming that shows you how to integrate coding agents into real-world software development tasks. Whether you are learning to work with AI coding assistants or looking to improve your existing development workflow, this book helps you move from basic code generation to more structured, efficient, and reliable engineering practices.

WHAT YOU WILL LEARN

Inside this practical guide, you will explore how to:

• Understand agentic coding and the role of AI agents in modern software engineering.
• Configure your development environment and get started with OpenCode.
• Write effective instructions that help coding agents understand your goals and constraints.
• Manage context so agents can work more accurately with existing codebases.
• Analyze repositories, navigate unfamiliar projects, and identify relevant files.
• Generate, modify, and refactor code while maintaining consistency and readability.
• Debug errors, investigate failures, and work systematically toward solutions.
• Create and improve automated tests to validate AI-generated changes.
• Integrate tools and external services into development workflows.
• Use reusable instructions, skills, and structured workflows to handle recurring tasks.
• Review AI-generated code for correctness, security, maintainability, and potential regressions.
• Troubleshoot configuration issues, authentication failures, tool integrations, and unexpected agent behavior.
• Establish practical testing, review, and release procedures for more dependable software delivery.

GO BEYOND CODE GENERATION

Generating code is only one part of software engineering. Successful development also requires understanding requirements, exploring existing systems, evaluating proposed changes, testing assumptions, and correcting mistakes.

This book emphasizes those essential skills. You will learn how to guide AI coding agents, break complex tasks into manageable steps, evaluate their output, and maintain control over important engineering decisions.

Rather than treating AI-generated code as automatically correct, you will develop a disciplined approach to verification, debugging, and quality assurance.

DESIGNED FOR PRACTICAL LEARNING

Whether you are a software developer, programming student, technical professional, or independent builder, this book provides a practical foundation for incorporating AI-assisted programming into your everyday work.

It is especially useful if you want to understand how coding agents fit into an existing development environment, how to organize repeatable workflows, and how to use AI assistance without sacrificing code quality or engineering judgment.

You do not need to abandon established programming practices to benefit from agentic coding. Instead, you will learn how to combine human expertise with AI capabilities to approach development tasks more efficiently.

BUILD WITH AI. REVIEW WITH CONFIDENCE. DEVELOP WITH PURPOSE.

Take the next step toward building, testing, debugging, and maintaining software with greater confidence in the age of AI.