# KodeKloud: Beta Courses Cline

## Cline

### Introduction to Cline

- [Course Introduction](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Course-Introduction/page.md): Introduction to Cline course teaching AI-powered development workflows, workspace setup, Plan and Act modes, prompt engineering, API documentation, and hands-on labs for engineers
- [Demo Initial Workspace Configuration](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Initial-Workspace-Configuration/page.md): Guide to installing and configuring the Cline AI coding extension in VS Code, covering permissions, workspace toggles, context management, model selection, and initial project workflow
- [Demo Ideal Setup Models](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Ideal-Setup-Models/page.md): Guide to selecting and comparing LLMs in an app, reading model cards, comparing token limits and pricing, switching providers, and deciding between personal API keys or cloud-hosted LLMs
- [Demo Ideal Setup Rules and Memory Bank](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Ideal-Setup-Rules-and-Memory-Bank/page.md): Describes using client rules and the Cline memory bank to enforce project policies, coding standards, and persistent documentation so the assistant provides consistent, context aware development support
- [Demo Cline MCP Servers](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Cline-MCP-Servers/page.md): Explains MCP servers for connecting external services to LLM workflows, discovering and configuring integrations in an IDE and marketplace, with security and workspace configuration guidance
- [Demo Connecting to Local LLMs](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Connecting-to-Local-LLMs/page.md): Guide to connecting Cline to local LLMs like LM Studio and Ollama, configuring runtimes, workflows, and troubleshooting to run models locally for privacy and cost savings.
- [Demo Plan and Act Mode](https://notes.kodekloud.com/docs/Cline/Introduction-to-Cline/Demo-Plan-and-Act-Mode/page.md): Guide to Cline's Plan and Act modes for AI-driven planning versus automated execution, demonstrated by scaffolding a FastAPI SQLite casting lookup service.

### Core Workflows - Prompt Engineering

- [Demo Prompt Anatomy and Best Practices](https://notes.kodekloud.com/docs/Cline/Core-Workflows-Prompt-Engineering/Demo-Prompt-Anatomy-and-Best-Practices/page.md): Guide to refactoring a casting number lookup app to ingest Chevrolet small‑block CSVs, update models, handle messy CSVs, migrations, and import utilities
- [Demo Context Management Techniques](https://notes.kodekloud.com/docs/Cline/Core-Workflows-Prompt-Engineering/Demo-Context-Management-Techniques/page.md): Demonstrates using focused context management to safely refactor a FastAPI casting lookup API, removing write endpoints and guiding an AI assistant to make minimal, reliable changes.
- [Demo Under the Hood Checkpoints Context Windows](https://notes.kodekloud.com/docs/Cline/Core-Workflows-Prompt-Engineering/Demo-Under-the-Hood-Checkpoints-Context-Windows/page.md): Explains Cline checkpoints and context windows that snapshot workspace actions for diffs, quick restores, safe experimentation, and how they complement Git while handling model context limits.
- [Demo Prompt Specificity and Why it Matters](https://notes.kodekloud.com/docs/Cline/Core-Workflows-Prompt-Engineering/Demo-Prompt-Specificity-and-Why-it-Matters/page.md): Explains how prompt specificity affects design outcomes using a Chevy Casting Lookup app, contrasting creative exploration with constrained prompts for predictable, production-ready changes.
- [Demo Summary](https://notes.kodekloud.com/docs/Cline/Core-Workflows-Prompt-Engineering/Demo-Summary/page.md): Practical prompt engineering and repository context management, using project ignore files to trim irrelevant files, reduce token usage, and improve LLM prompt relevance and performance.

### Resources & Next Steps

- [Demo Using MCP Servers with Cline](https://notes.kodekloud.com/docs/Cline/Resources-Next-Steps/Demo-Using-MCP-Servers-with-Cline/page.md): Integrating MCP servers with Cline to add web fetching and retrieval augmentation, using a fetch server that converts HTML to Markdown for real time web data.
- [Demo MCP Marketplace](https://notes.kodekloud.com/docs/Cline/Resources-Next-Steps/Demo-MCP-Marketplace/page.md): Guide to discover, install, and configure MCP servers from the Cline Marketplace, exemplified with Ollama, automating setup, updating settings, and testing tools for seamless integration.
- [Demo Documentation Generation with AI assistance](https://notes.kodekloud.com/docs/Cline/Resources-Next-Steps/Demo-Documentation-Generation-with-AI-assistance/page.md): Demo of Cline generating and improving project documentation like READMEs, module and function docstrings, CLI help, user guides, and OpenAPI Swagger API docs
- [Demo Official Documentation Navigation](https://notes.kodekloud.com/docs/Cline/Resources-Next-Steps/Demo-Official-Documentation-Navigation/page.md): Concise guide to Cline official documentation covering model selection, context windows, recommended tooling, provider integrations, local model hardware, and production deployment guidance.
- [Demo Community Forums and Support Channels](https://notes.kodekloud.com/docs/Cline/Resources-Next-Steps/Demo-Community-Forums-and-Support-Channels/page.md): Guide to Cline support channels and forums, including GitHub, Discord, and KodeKloud, with instructions and best practices for reporting bugs and submitting reproducible issues.