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OpenCode: The Complete Guide to the Open-Source AI Coding Agent
Use OpenCode from start to finish. Collaborate with AI inside your terminal, configure models, build custom commands, and extend OpenCode with tools and MCP integrations.
OpenCode turns AI coding from a disconnected chat into an agent that works directly inside your codebase. Instead of copying snippets back and forth, you’ll learn how to collaborate with an AI coding agent that can read files, run commands, and make real changes while you stay in control.
You’ll start with the basics: how OpenCode works, how to reference files, and how to run shell commands to inspect and update a repository. Next, you’ll use slash commands to set context, move faster, and undo changes when needed. You’ll learn the difference between “Plan” mode and “Build” mode to separate thinking from execution, refine your approach, catch edge cases early, and produce cleaner updates before anything is modified.
You’ll build safe workflows and learn how OpenCode uses tools with proper permissions. Next, you’ll automate tasks with custom commands, switch between models, enforce formatting, and connect services like GitHub or Slack, configuring OpenCode to match your daily development needs.
OpenCode turns AI coding from a disconnected chat into an agent that works directly inside your codebase. Instead of copying sni...Show More
WHAT YOU'LL LEARN
A clear understanding of what OpenCode is and how an open-source AI coding agent differs from chat-based coding assistants when working inside code repositories
Hands-on experience using OpenCode’s core workflow, including referencing files, running shell commands, and applying slash commands to control context and undo changes
Strong skills in planning reliable code changes with Plan mode vs. Build mode, separating reasoning from execution to reduce mistakes and improve code quality
The ability to safely operate OpenCode tools by configuring permissions and controlling what the agent can access across files, commands, and system resources
Working knowledge of extending OpenCode through custom commands and custom tools, enabling repeatable automation and project-specific AI workflows
Hands-on experience configuring the OpenCode ecosystem, including switching between cloud and local models, enforcing code quality with formatters, teaching agent skills, and integrating external services through MCP servers
A clear understanding of what OpenCode is and how an open-source AI coding agent differs from chat-based coding assistants when working inside code repositories
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Learning Roadmap
1.
Foundations and Core Workflow
Foundations and Core Workflow
Discover OpenCode’s features, commands, and modes for efficient AI-assisted coding.
2.
Customization and Architecture
Customization and Architecture
Explore OpenCode’s tools, custom commands, and model configurations for enhanced coding efficiency.
3.
Advanced Integrations and Extensions
Advanced Integrations and Extensions
3 Lessons
3 Lessons
Enhance coding efficiency and collaboration with OpenCode's features and integrations.
Certificate of Completion
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Complete more lessons to unlock your certificate
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