Cline – AI Coding Assistant That Understands and Works Across Your Codebase

Cline is an AI coding assistant built as a code extension inside VS Code that helps developers work across full projects. It can edit files, comprehend large codebases, and act like a real AI assistant rather than a simple autocomplete tool. With over 5 million developers on board and support for a growing list of new models and API providers, it's become a go-to choice for serious work on complex projects.

Features:

• Connects to development tools like Visual Studio Code and JetBrains IDE
• Handles large codebases without losing context window awareness
• Debug issues using console logs, error messages, and compile-time errors
• Uses Plan Mode to analyze and map out changes before touching code
• Uses Act Mode to execute approved changes in the project
• Integrates with APIs, databases, and external systems
• Supports custom tools through the Model Context Protocol (MCP)
• Tracks file history
• Runs terminal commands

FAQs about Cline:

What is Cline, and what does it do?

Cline is an autonomous AI coding assistant that runs as an extension inside your code editor, mainly VS Code, rather than a separate browser-based tool where you copy-paste code. It can read your project files, edit them directly, and suggest or prepare terminal commands you approve and run within your development environment.

Its Plan and Act modes help keep you in control. In Plan mode, it reviews files and outlines a step-by-step strategy without making changes. Once you approve, Act mode applies those changes directly to your codebase.

How does Cline work as an AI coding assistant?

Cline starts in Plan mode, where, after you describe what you want in plain language, it analyzes relevant files, understands file contents, and builds a step-by-step plan without making edits. After approval, it switches to execution mode and applies changes directly, including fixing missing imports or runtime issues. It can also track terminal output and respond to errors during development.

What AI models does Cline support?

Cline works with various API providers, including Anthropic, OpenAI, Google Gemini, and OpenRouter. Other models include AWS Bedrock, Azure, and GCP Vertex.

For developers who want to work offline or cut API costs, local models connect to an OpenAI-compatible API through LM Studio or Ollama. Any OpenAI-compatible API will integrate, making it straightforward to switch between new models. Other free options, such as Gemini and DeepSeek, handle lighter work well.

What programming languages does Cline support?

Cline supports most modern languages used in software development, including JavaScript, Python, TypeScript, Rust, Go, and others commonly used in VS Code projects. Since it handles tasks through the editor context, it adapts to whatever language is present in the project rather than limiting usage.

Because it processes the entire codebase rather than isolated snippets, it handles complex projects and cross-file changes without any issues. That said, there’s no curated language list to verify before you start using this AI-powered tool.

Is Cline free to use?

The Cline extension is free and open-source with no licensing fees. Your only expenses are the API calls to the provider you’re connected to, and cost control is based on which model you pick for the task.

Free or low-cost options like Gemini and DeepSeek work well for lighter work, while Claude or GPT-4o handle heavier tasks when needed. Teams and enterprise plans with SSO and audit logs are available at $20 per user per month after the promotional period ends.

How do you connect Cline to LM Studio?

LM Studio runs local models directly on your machine, and it only takes minutes for it to connect to Cline. This quick guide will show you how to do that:

1. Install and open LM Studio. Once it’s running, load a local model so it’s ready to accept requests.
2. Enable the local server feature to create an API endpoint that behaves like an OpenAI-compatible API.
3. Open Cline extension settings in VS Code. Then look for the section that enables you to configure model providers or API connections.
4. Paste the local server URL from LM Studio into Cline’s API endpoint field.
5. Run a simple prompt inside Cline to test the connection. If everything is set up correctly, it should respond using your local model instead of a cloud provider.
6. Once connected, you can start coding locally.

How does Cline stand vs other AI tools?

Cline stands out because it can edit files, execute commands directly, and manage full development workflows inside VS Code, not like most AI coding assistants that sit outside your actual project. It supports custom tools through MCP servers, enabling developers to extend functionality beyond standard AI coding assistants.

It also tracks file history and checkpoints, which helps teams working on large codebases. Additionally, its Plan and Act modes are designed for users who want control over their project, compared to other AI tools that push changes without asking.

Cline vs Claude Code vs Cursor vs GitHub Copilot: What are the key differences?

1. GitHub Copilot

GitHub Copilot is strongest when it comes to fast inline code suggestions and autocomplete while you type. It’s lightweight, easy to use, and fits into everyday coding without modifying your workflow.

Cline goes deeper than Copilot by working across entire codebases, instead of just predicting the next line. While Copilot reacts to what you’re typing, Cline can plan multi-step changes, edit multiple files, and execute terminal commands when needed.

2. Cursor

Cursor feels like a modern AI-native IDE with smooth integration, fast responses, and a polished editing experience. It’s strong at inline AI help, code refactoring, and making AI feel like part of the editor rather than an add-on.

Cline takes a more agent-like approach. Instead of staying inside suggestions and edits, it can analyze the full project structure, plan changes before execution, and apply edits across multiple files with clear diffs. It’s more structured and task-driven compared to Cursor’s fluid editing experience.

3. Claude Code

Claude Code leans into terminal-first workflows and reasoning-heavy tasks, often appealing to developers who prefer working close to the command line. It does a good job at structured problem-solving and step-by-step reasoning over code.

Cline sits closer to the editor itself, especially inside VS Code, and combines reasoning with direct file manipulation. While Claude Code remains terminal-centric, Cline bridges planning, editing, debugging, and execution in a single continuous workflow.

4. Cline

Cline AI is built for full-codebase control inside the development environment. Its strongest advantage is the Plan and Act system, which analyzes the project and then executes changes only after approval.

Compared to other tools, Cline stands out as more autonomous and workflow-driven. It participates in the development process with structured control, visibility through diffs, and rollback checkpoints for safety.