Cline — The VS Code Agent That Puts You Back in Control

Autonomous AI coding agent in VS Code — with human-in-the-loop approvals before every action
8.5 /10

Cline is the most capable autonomous coding agent available as a VS Code extension. The human-in-the-loop approval model, MCP integration, and checkpoint system make it suitable for real production tasks. If you want an agent that can actually execute complex multi-step workflows inside your IDE — and you want to stay in control — Cline is the strongest option.

🔓 Open Source🧠 Agent-First🛡️ Human-in-the-Loop
Free
Price
vscode
Platforms
2024
Founded
Yes
Open Source
Yes
Self-Host

Cline (formerly Claude Dev) is a VS Code extension that turns Claude — or any other capable LLM — into an autonomous coding agent. Not autocomplete. Not chat. An agent that reads your files, runs terminal commands, controls a browser, and makes multi-file edits in response to high-level instructions.

The key design decision that sets Cline apart: it asks for your approval before taking each consequential action. That single choice makes the difference between a tool you’d trust for production tasks and one you’d only use in a throwaway sandbox.

How It Works

Install the Cline extension, configure your API key (Claude, OpenAI, Gemini, Bedrock — your choice), and describe a task:

“Add JWT authentication to the Express API. Create middleware, update the user routes, add tests, and make sure the existing tests still pass.”

Cline will:

  1. Explore relevant files using its understanding of your project structure
  2. Show you a plan before touching anything (in Plan mode)
  3. Make file edits — showing you diffs before applying
  4. Run terminal commands (with your approval each time)
  5. Check test output and iterate if they fail

Throughout, you approve or reject each step. You can edit Cline’s proposed changes before accepting. You can roll back to any checkpoint if it goes in the wrong direction.

The Approval Model

The approval-first approach is Cline’s defining characteristic. Before Cline runs npm install, creates a file outside your project, or executes any terminal command, it pauses and shows you what it wants to do.

This is different from fully autonomous agents that execute first and report back. It’s slower — but for tasks that involve real infrastructure, databases, or production code, it’s the right tradeoff.

You can configure auto-approve for specific action types (read-only file operations, for example) while keeping approvals on for anything destructive. The granularity is good.

Plan Mode

Plan mode adds a dedicated planning step before execution. Cline reads the relevant code, thinks through the task, and presents a structured plan — which files it will touch, what it will change, what commands it might run — before doing anything.

You review the plan. You can edit it, reject it, or ask Cline to revise. Only once you approve does execution begin.

For complex tasks, this dramatically improves outcomes. The model reasons better when planning is separated from doing, and you catch misunderstandings before they result in 30 edited files that miss the point.

MCP Integration

Cline has one of the deepest MCP integrations of any IDE tool. It can:

  • Use MCP servers — connect to filesystem, database, browser, or any other MCP tool
  • Act as an MCP server — expose Cline’s capabilities to other agents or tools

This means Cline can slot into larger agentic systems. You can orchestrate Cline alongside other MCP-aware tools, or use it as a standalone agent that reaches out to MCP services for data it needs.

Checkpoints

Every meaningful state change in a Cline session creates a checkpoint. If the agent goes sideways — wrong interpretation, bad refactor, deleted the wrong file — you can restore to any previous state in one click.

This matters more than it sounds. Without checkpoints, mistakes in long autonomous sessions mean manually reverting git history or losing work. With checkpoints, experimentation is safe.

Model Configuration

Cline works with any LLM through a range of provider integrations:

  • Anthropic direct — Claude Sonnet 4.6 / Opus 4.6, Claude Haiku 4.5
  • OpenAI — GPT-5.4, o1, o3-mini
  • Google — Gemini 3.1 Flash, Gemini Pro
  • AWS Bedrock / GCP Vertex — for enterprise deployments with managed credentials
  • Ollama / LM Studio — local models for air-gapped or cost-free use cases

The choice of model significantly affects both capability and cost. Sonnet 4.6 produces the best results for complex tasks; Haiku 4.5 works for simpler edits at 10-20x lower cost.

Cline vs GitHub Copilot

Copilot is an autocomplete tool with some chat capability. Cline is an autonomous agent. If you want suggestions as you type, Copilot. If you want an agent that executes tasks end-to-end, Cline.

Cline vs Cursor

Cursor is a full IDE fork with integrated AI everywhere — autocomplete, Composer, chat. Cline is an extension you add to VS Code (or Cursor itself). They’re not mutually exclusive — many developers run Cline inside Cursor and get both: Cursor’s autocomplete plus Cline’s autonomous task execution.

## Pricing

Best Value
Open Source
$0
  • Apache 2.0 licensed
  • All features included
  • Bring your own API key
  • LLM costs billed directly by provider
  • No Cline subscription fee

Last verified: 2026-03-03.

## The Good and the Not-So-Good

+ Strengths

  • Approval-first safety model — asks before running any terminal command or reading outside-scope files
  • Works with Claude, GPT-5.4, Gemini, Bedrock, Vertex AI, and local models via Ollama
  • Full MCP integration: can use existing MCP servers AND expose itself as an MCP server to other tools
  • Checkpoint system: save and restore state at any point in a session
  • Plan mode: separate planning step before execution — review the plan before Cline touches any files
  • Browser automation built in — can open pages, click, fill forms, extract content
  • 40,000+ GitHub stars, one of the fastest-growing AI coding tools
  • Works in VS Code, Cursor, Windsurf — any VS Code-based editor

− Weaknesses

  • VS Code only — no terminal-native or web-based option
  • No inline autocomplete — Cline is task-based, not continuous suggestion-based
  • API costs are direct and can add up fast on complex autonomous sessions
  • Approval dialogs can interrupt flow if you want true autonomy (auto-approve mode helps but reduces safety)
  • Large sessions can hit context limits, requiring careful task scoping

## Security & Privacy

YES Explicit approvals — Cline asks before running terminal commands, installing packages, or accessing files outside the project.
YES Local execution — All code runs on your machine. Cline sends prompts to your configured LLM provider — nothing else.
YES API key handling — Keys stored in VS Code settings, not sent to any Cline servers.
PARTIAL Auto-approve mode — Can be configured to skip approvals for trusted action types — trades safety for speed.
YES Open source — Apache 2.0. Full extension code auditable on GitHub.

## Who It's For

Best for: VS Code developers who want a capable autonomous coding agent with fine-grained control, teams needing MCP integration, developers who want human-in-the-loop approvals before every risky action

Not ideal for: Terminal purists who prefer CLI tools, developers who need inline autocomplete, workflows that require a non-VS Code environment