Cline
Master the open-source AI coding agent for VS Code. Formerly known as "Claude Dev," Cline can create and edit files, run terminal commands, use the browser, and work with any AI model — all from inside your editor. Learn to harness autonomous agentic workflows for real-world development.
What You'll Learn
By the end of this course, you'll be able to use Cline as an autonomous coding partner — editing code, running commands, browsing the web, and integrating any AI model into your VS Code workflow.
Autonomous Coding Agent
Understand how Cline operates as a fully autonomous agent that plans, executes, and verifies coding tasks inside VS Code.
Multi-Model Support
Connect Cline to Claude, GPT, Gemini, or local models via API keys or OpenRouter — switch models freely.
Browser Automation
Use Cline's built-in browser to scrape data, test web apps, and interact with live pages automatically.
MCP & Custom Rules
Extend Cline with MCP servers, custom instructions via .clinerules, and advanced configuration options.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
What is Cline? Learn about the open-source AI coding agent, its origins as "Claude Dev," key features, multi-model support, and agentic workflow.
2. Installation
Install Cline from the VS Code marketplace, configure your API key, understand the permission system, and complete your first run.
3. Basic Usage
Start tasks, chat about code, create and edit files, run terminal commands, use browser automation, and understand checkpoints.
4. Model Configuration
Configure providers like Anthropic, OpenAI, Google, OpenRouter, AWS Bedrock, and local models. Compare models and track costs.
5. Workflows
Practical workflows: feature development, bug fixing, test writing, refactoring, web scraping, MCP integration, and custom instructions.
6. Best Practices
Effective prompting, cost management, security considerations, large project strategies, community extensions, and FAQ.
Prerequisites
What you need before starting this course.
- Visual Studio Code installed on your system
- Basic familiarity with VS Code extensions
- An API key from Anthropic, OpenAI, or an OpenRouter account
- A code project to practice with (any language works)
Lilly Tech Systems