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Free Download Opencode Bootcamp From First Prompt To AI Agent Pro
Published 8/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.51 GB | Duration: 10h 13m
Master OpenCode: models, MCP, skills, plugins, tests, Git, and a final boss build with real screen proof.
What you'll learn
Install and run OpenCode on Windows with PowerShell, then verify that the setup works.
Connect AI model providers and choose models by speed, cost, reasoning, vision, and tool support.
Turn vague feature ideas into clear briefs that OpenCode can execute and verify inside a real repository.
Build, debug, test, and safely refactor working features with evidence-driven agent workflows.
Control plans, sessions, permissions, repository rules, external context, and multi-agent work.
Create reusable commands, agents, skills, MCP integrations, custom tools, plugins, and PowerShell automations.
Requirements
A Windows 10 or 11 PC with Windows Terminal and PowerShell.
Internet access and an account or API access for at least one supported AI model provider.
Basic comfort working with files and folders; no OpenCode or AI coding-agent experience is required.
Git or programming experience can help, but every unfamiliar command and workflow is explained.
Description
This course contains the use of artificial intelligence.OpenCode is a terminal-based AI coding agent that can inspect a repository, edit files, run commands, test its own work, and keep a complete development session in one place. This course shows you how to use it on a real Windows computer with Windows Terminal and PowerShell, from the first launch to advanced agent workflows.If you are tired of vague prompts, mystery changes, and demos that stop just before the hard part, this course is built for you. Every lesson begins with a practical problem and ends with a result you can see: a working feature, a repaired bug, a passing test suite, a cleaner codebase, a reusable command, or an automation that saves real time.This is not a slideshow tour of menus. Across thirty real-screen lessons, you work inside PowerShell, the OpenCode terminal interface, source files, tests, Git, browser references, configuration files, and project output. Unfamiliar tools and commands are introduced before they are used, their important parts are explained, and visible success and failure clues are identified. You can start with no previous OpenCode experience.You will begin by installing and running OpenCode on Windows, connecting your first AI model provider, and choosing an appropriate model based on speed, cost, reasoning ability, vision support, and tool use. You will turn rough ideas into clear implementation briefs and use those briefs to build a complete feature inside a real project.The course then moves into the workflows that make an AI coding agent genuinely useful. You will rebuild an interface from a , investigate a cursed-looking bug, use automated tests as the definition of done, and refactor messy code without losing working behavior. You will also learn how to place OpenCode inside a large repository without overwhelming it with irrelevant context.You will compare two competing solutions, decide when to use Plan Mode or Build Mode, recover from an unwanted change, manage sessions, fork work safely, and continue after context has been compacted. You will create repository instructions that explain conventions, commands, and boundaries so the agent works with your project instead of guessing.As the course becomes more advanced, you will connect external repositories as context, share useful session information without exposing secrets, and turn repeated prompts into reusable custom commands. You will create agents with focused jobs and personalities, build a read-only reviewer that cannot modify the code, and divide larger tasks among multiple agents.You will package a successful workflow as a reusable skill and configure permissions so OpenCode can work autonomously without becoming reckless. Then you will connect external capabilities through MCP, build a custom tool, create a plugin that changes OpenCode behavior, and use language-server diagnostics and formatters as part of the repair loop.The automation section shows how to run OpenCode from PowerShell without relying on the interactive interface. You will work with files, structured output, sessions, and pipelines so the same agent workflows can be reused in scripts and repeatable engineering processes.The final lesson is the boss fight. You will take an intentionally vague idea and move it through planning, implementation, specialist agents, reusable skills, external tools, automated tests, review gates, and a structured final report. The goal is not merely to receive an AI-generated answer. The goal is to finish with a working feature and evidence that it actually works.By completing this course, you will be able to:• Install and operate OpenCode in a native Windows PowerShell environment.• Connect model providers and choose the right model for a specific task.• Write clear briefs that turn uncertain ideas into executable work.• Build features, diagnose bugs, run tests, and refactor with visible proof.• Manage plans, sessions, permissions, context, and repository rules.• Create custom commands, agents, skills, MCP integrations, tools, and plugins.• Automate repeatable OpenCode workflows from PowerShell.• Review agent-generated work instead of accepting it blindly.You need a Windows 10 or 11 computer, Windows Terminal with PowerShell, internet access, and access to at least one supported AI model provider. Familiarity with files and folders is helpful. Programming or Git experience can make some advanced lessons easier, but it is not required to begin.This course is designed for complete beginners, developers, technical creators, solo builders, and teams who want practical AI-assisted development on Windows. It is also useful for existing OpenCode users who want safer, more structured workflows. It is not a theory-only overview, and it does not use macOS, Linux, WSL, or Bash as the teaching environment.If you want to move beyond one-off prompts and make an AI coding agent behave like a useful, testable engineering partner, start with the first lesson and build the entire system with me.
Complete beginners who want to use an AI coding agent on Windows without WSL or Bash.,Developers and technical creators who want repeatable workflows instead of one-off prompts.,Learners interested in practical debugging, testing, Git, MCP, skills, plugins, and automation.,Existing OpenCode users who want safer workflows for larger repositories and multi-agent work.,This course is not designed as a theory-only AI overview or a macOS/Linux setup course.,Solo builders and development teams that want visible proof before accepting agent-generated changes.
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