OpenCode Workflows: Mastering Plan and Build Modes for AI Coding

AI coding tools are incredibly powerful, but jumping straight into code generation often leads to bugs, hallucinations, and messy architecture. To build reliable software, you need a structured approach that separates thinking from doing. This text-based course guides you through OpenCode's dual-mode workflow, teaching you how to leverage Plan Mode for architectural design and Build Mode for clean execution. You will transition from chaotic prompting to a predictable, professional development process that produces production-ready code. What you'll learn: Understand the foundational concepts of AI-assisted software development and the core mechanics of AI coding companions; Master Plan Mode in OpenCode to draft system specifications, map out dependencies, and establish architectural guidelines before writing code; Apply Build Mode to translate approved plans into clean, functional, and well-structured code; Practice modern prompt engineering techniques specifically designed to control AI context and minimize generation errors; Implement iterative refinement workflows to review, test, and safely refactor AI-generated code. You will start with the fundamental terminology of AI coding assistants, exploring why separating planning from building is essential for software quality. From there, you will read through step-by-step written breakdowns of real-world scenarios, learning how to orchestrate OpenCode's modes to handle complex programming tasks. This course is designed for beginners new to AI-assisted development, as well as developers looking to bring structure and reliability to their AI workflows. No advanced programming or AI engineering background is required. Start reading today to transform how you collaborate with AI and write more reliable code.