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OpenCode Crash Course: Automate Workflow with Free AI Models
New
Rating: 5.0 out of 5(6 ratings)
108 students

OpenCode Crash Course: Automate Workflow with Free AI Models

Build autonomous coding agents with OpenCode — MCP, Skills, Sub-agents, Plugins & AGENTS md. No paid AI subscription.
Last updated 10/2026
English
English [Auto],

What you'll learn

  • Run OpenCode entirely free using Zen models, or configure a paid provider in three minutes — provider-agnostic across 75+ models
  • Master built-in slash commands and build your own custom commands for repeatable, shareable workflows
  • Write and test a project-aware AGENTS md file so OpenCode understands your codebase, conventions, and constraints
  • Understand MCP (Model Context Protocol) from first principles — and connect OpenCode to GitHub, databases, and Context7
  • Configure OpenCode's allow, ask, and deny permission model to control exactly what your agents can touch
  • Build production Skills with YAML front-matter and Markdown — including a Data Cleaning Skill and a Dashboard Creation Skill
  • Design custom sub-agents including a working Code Reviewer, and know exactly when to use a Skill vs a sub-agent

Course content

4 sections • 17 lectures • 1h 39m total length
  • What is OpenCode ?5:13
  • How OpenCode works internally !1:56
  • Agentic Coding vs Traditional Coding3:04
  • OpenCode Free setup5:22

Requirements

  • No paid AI subscription required — every lesson runs on free models
  • No prior experience with AI coding agents, OpenCode, or MCP is required - we start from the fundamentals
  • A computer (Windows, macOS, or Linux) with internet access

Description

Stop paying for AI coding subscriptions. Start running autonomous agents for free.

OpenCode is the open-source AI coding agent built for the terminal — provider-agnostic, MIT-licensed, and able to run entirely on free AI models. This crash course takes you from installation to a packaged, shareable agent toolkit in under four hours.

This is not a course about typing prompts and hoping for the best. You will build a complete, reproducible automation system: custom slash commands, a project-aware AGENTS md file, MCP connections to GitHub and your database, two production Skills, a custom sub-agent, and your own distributable OpenCode plugin.

What you will build

Every hands-on lesson runs against one real case study — a messy retail sales dataset with duplicate orders, inconsistent date formats, currency-formatted text, and missing regions. You will clean it, analyse it, and dashboard it using agents you build yourself.

  • A Data Cleaning Skill that handles real-world data defects through rules you write

  • A Dashboard Creation Skill that turns clean data into visual reporting

  • A Code Reviewer sub-agent that audits your work automatically

  • A shareable plugin bundling your skill, agent, and command into one installable package

What you will learn

  • How the OpenCode agentic loop works internally: read, reason, act, verify

  • Free setup using Zen models, plus paid configuration in three minutes if you want it

  • Plan mode vs Build mode, and why separating reasoning from execution reduces errors

  • Context windows, auto-compaction, and how to keep agents on track in long sessions

  • Writing and testing an AGENTS md file so your agent understands your project

  • MCP from first principles: GitHub, database servers, Context7, and the allow/ask/deny trust model

  • Skills architecture: YAML front-matter and Markdown body, plus installing from the marketplace

  • Sub-agents vs Skills, and exactly when to reach for each

  • Packaging and distributing your work as an OpenCode plugin

Who this course is for

Developers, data analysts, and engineers who want agentic coding without a paid subscription. Anyone curious about terminal-based AI agents who wants a practical workflow rather than a feature tour. Students, freelancers, and indie builders automating repetitive coding and data work.

Who this course is for:

  • Developers who want agentic coding in the terminal without paying for a subscription — OpenCode runs free on open models
  • Claude Code, Cursor, or Copilot users who want a provider-agnostic, open-source alternative they fully control
  • Data analysts and engineers who want to automate cleaning, analysis, and reporting workflows with agents they build themselves