OpenCode: The Complete Guide to the Open-Source AI Coding Agent

As AI moves from assistive tooling to autonomous workflows, the role of the coding agent is rapidly evolving. Tools like OpenCode represent a shift from chat-based interaction to agents that operate directly within your codebase. For developers, this means learning how to collaborate with an open-source coding agent that can read, modify, and execute code safely. This course is designed to help you understand and work effectively with OpenCode in real development environments. I built this course from my work in AI systems and developer-focused tooling, where the gap between model capability and real-world usability is often underestimated. A recurring pattern I observed was that developers treated AI as a passive assistant, rather than an active coding agent integrated into their workflow. This course reframes that interaction, showing how to structure, guide, and control an open-source coding agent like OpenCode with clarity and precision. You’ll begin with the fundamentals of OpenCode, learning how the coding agent interacts with your repository through file access and command execution. From there, you’ll explore structured workflows using Plan and Build modes, context management with slash commands, and safe iteration practices. The course also covers automation through custom commands, model selection, tool permissions, and integration with platforms like GitHub and Slack. If you want to work effectively with a modern coding agent and integrate OpenCode into your daily development workflow, this course provides a clear and practical path to get there.