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Find the right AI tool in 2 minutes. Independent reviews and honest comparisons of 770+ AI tools.

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  3. Cline
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Cline

An open-source autonomous AI coding assistant for VS Code with Plan/Act modes, terminal execution, file editing, and Model Context Protocol for custom tools.

Starting atFree
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OverviewFeaturesPricingUse CasesLimitationsFAQSecurityAlternatives

Overview

Cline is a Developer Tools AI coding agent that gives developers an autonomous pair programmer capable of creating files, editing code, running terminal commands, and browsing the web—all with human-in-the-loop approval—with pricing starting at free for individual use (bring your own API key) and enterprise plans available for teams.

Originally launched as 'Claude Dev,' Cline has grown to over 60,200 GitHub stars, 700+ open-source contributors, and millions of installs across VS Code, JetBrains, and its dedicated CLI. Licensed under Apache 2.0, Cline is one of the most actively maintained open-source AI coding tools available, averaging over 1,000 commits per quarter and receiving community contributions from developers at major technology companies.

Cline's core innovation is its Plan/Act two-phase workflow. In Plan mode, the AI analyzes your codebase, reads relevant files, and presents a structured approach—without modifying anything. Once approved, Act mode executes each step with diff previews and explicit confirmation prompts, ensuring developers maintain full control. This design philosophy makes Cline particularly well-suited for complex, multi-file operations where autonomous changes carry real risk.

Model Context Protocol (MCP) support is a key differentiator. MCP is an open standard that lets Cline connect to external tool servers—databases, internal APIs, CI/CD pipelines, documentation indexes—during a coding session. This extensibility allows teams to create custom MCP servers that make Cline aware of their specific infrastructure, turning a general-purpose assistant into a context-aware agent tailored to their stack.

Cline is fully model-agnostic, supporting providers including Anthropic (Claude Sonnet, Claude Opus, Claude Haiku), OpenAI (GPT-4o), Google (Gemini 2.5 Pro), DeepSeek, Mistral, and local models via Ollama or LM Studio. This flexibility lets teams optimize for cost, quality, latency, or data privacy—including fully offline operation with local models. Based on community benchmarks and user reports, Claude Sonnet and Claude Opus consistently deliver the strongest results for complex multi-file tasks.

The Kanban task orchestration sidebar, introduced in early 2026, enables developers to manage multiple parallel autonomous coding tasks with linked dependency chains. Combined with the checkpoint and rollback system—which automatically snapshots workspace state during task execution—Cline provides a safety net for ambitious multi-step operations that would be risky with less controlled tools.

Cline is available across three platforms: VS Code (the most mature integration), JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm), and the Cline CLI for terminal-first workflows. The extension is free to install, and developers pay only for the API usage of their chosen model provider, making it one of the most cost-flexible AI coding tools on the market.

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Key Features

Plan/Act Two-Phase Workflow+

Cline's signature Plan/Act mode separates strategy from execution. In Plan mode, the AI analyzes your task, reads relevant files, and presents a step-by-step approach without touching any code. Once you approve, Act mode executes each step with a diff preview and confirmation prompt before every file change or terminal command. This two-phase design gives developers the productivity of an autonomous agent with the safety of manual review, making it particularly well-suited for complex multi-file operations where unchecked changes could introduce regressions.

Model Context Protocol (MCP) Integration+

MCP lets developers attach custom tool servers—databases, internal APIs, documentation indexes, CI/CD pipelines—that Cline can invoke mid-session. This extensibility transforms Cline from a generic assistant into a context-aware agent that understands your team's infrastructure. For example, an MCP server can expose your database schema so Cline generates accurate queries, or connect to your deployment pipeline so Cline can trigger and monitor builds. Setting up an MCP server requires implementing the open MCP standard, which involves moderate technical effort but provides unmatched customization.

Model-Agnostic Architecture+

Cline supports Claude (Opus, Sonnet, Haiku), GPT-4o, Gemini 2.5 Pro, DeepSeek V3, Mistral Large, and local models via Ollama or LM Studio. Users connect any provider via API key, enabling teams to optimize for cost, quality, or data privacy—including fully offline operation with local models. This flexibility means developers are never locked into a single provider and can switch models per task: a frontier model for complex refactors, a budget model for simple edits, and a local model for sensitive codebases.

Kanban Task Orchestration+

The Kanban sidebar lets developers create multiple autonomous coding tasks with linked dependency chains that execute in parallel. This enables breaking down large features into subtasks that multiple AI agents work on simultaneously, with the sidebar providing a visual overview of task status, dependencies, and progress. Developers can manage, pause, or reprioritize tasks in real time, making it a unique workflow feature among open-source AI coding tools for handling complex, multi-workstream projects.

Checkpoint and Rollback System+

Cline automatically creates checkpoints during task execution, allowing developers to revert the entire workspace to any previous point in a session. This safety net is particularly valuable during complex multi-file refactors where a single misstep could propagate errors across the codebase. Unlike simple undo, checkpoints capture the full workspace state—including file creations, deletions, and terminal side effects—so developers can confidently explore ambitious changes knowing they can always roll back to a known-good state.

Pricing Plans

Free (Individual)

Free

  • ✓Full access to Cline extension across VS Code, JetBrains, and CLI
  • ✓Bring your own API key from any supported provider
  • ✓Plan/Act workflow with human-in-the-loop approval
  • ✓Model Context Protocol (MCP) support
  • ✓Kanban task orchestration
  • ✓Checkpoint and rollback system
  • ✓Community support via Discord (30,000+ members)

Enterprise

Contact Sales

  • ✓Centralized API key and usage management for teams
  • ✓Enterprise security and compliance features
  • ✓Dedicated support and onboarding
  • ✓Custom deployment and configuration options
  • ✓Priority access to new features
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Best Use Cases

🎯

Full-stack feature development where a developer needs AI assistance across frontend, backend, and database layers—Cline's Plan/Act mode lets you review the multi-file strategy before any changes are executed, and MCP can connect to your staging database for schema-aware code generation

⚡

Legacy codebase refactoring where you need to modernize large codebases incrementally—Cline reads existing files, proposes a migration plan, and executes changes with checkpoint support so you can revert to any point if something breaks

🔧

Prototyping and rapid iteration for solo developers or small startups who want an AI pair programmer without a monthly subscription—use Claude Sonnet or a free local model to scaffold new projects, generate boilerplate, and iterate on features quickly

🚀

DevOps and infrastructure-as-code tasks where Cline's terminal command execution and MCP integration let it run builds, inspect logs, manage Docker containers, and interact with deployment pipelines while keeping the developer in the approval loop

💡

Teams with custom internal tooling who need an AI assistant that understands their specific stack—MCP servers let Cline query internal APIs, read from proprietary documentation, and follow team-specific coding standards defined in .clinerules files

🔄

Multi-task parallel development workflows using Cline's Kanban feature to orchestrate multiple autonomous coding agents working on linked dependency chains simultaneously, ideal for breaking down large features into parallelized subtasks

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Cline doesn't handle well:

  • ⚠No built-in model access or subscription tier that bundles API costs—developers must manage their own API keys and monitor spending across providers, which adds operational overhead compared to all-in-one tools like Cursor or Copilot
  • ⚠Output quality is directly tied to the chosen model—using budget or local models for complex multi-file refactors can produce incorrect or incomplete code, requiring manual intervention that offsets productivity gains
  • ⚠Token-intensive sessions with frontier models can become expensive quickly ($10–$20+ per heavy session), and there is no built-in cost estimation or spending cap to help developers budget their usage
  • ⚠The JetBrains and CLI integrations are newer and less mature than the VS Code extension, so some features may have rougher edges or lag behind in updates
  • ⚠Requires an active internet connection for cloud-hosted models; local model support via Ollama works offline but with significantly reduced code generation quality

Pros & Cons

✓ Pros

  • ✓Fully open-source (Apache 2.0) with 60,200+ GitHub stars and 700+ contributors, ensuring transparency and no vendor lock-in
  • ✓Human-in-the-loop design requires explicit approval before every file change or command, giving developers full control over what the AI modifies
  • ✓Model-agnostic architecture lets users choose any supported LLM—including free local models via Ollama—so teams can optimize for cost, speed, or quality
  • ✓MCP integration enables custom tool servers that make the assistant aware of team-specific databases, APIs, and deployment pipelines
  • ✓Multi-platform availability across VS Code, JetBrains IDEs, and a dedicated CLI covers terminal-first, VS Code, and JetBrains workflows
  • ✓Kanban sidebar enables orchestration of multiple parallel autonomous coding tasks with linked dependency chains, a unique workflow feature among open-source AI coding tools

✗ Cons

  • ✗Requires users to supply and pay for their own API keys—actual usage costs can be significant with frontier models during heavy sessions, with no built-in spending controls
  • ✗Performance and output quality vary substantially across models—cheaper or local models may produce noticeably weaker results than Claude or GPT-4o
  • ✗Human-in-the-loop approval prompts can slow down workflows for developers who prefer fully autonomous operation without confirmations
  • ✗Initial MCP server setup requires technical effort and familiarity with the protocol, making it non-trivial for teams without dedicated tooling expertise
  • ✗Long or complex sessions can consume large token volumes, making costs difficult to predict upfront—a single heavy session could cost $5–$20+ with frontier models

Frequently Asked Questions

How much does Cline cost?+

Cline pricing starts at Free. They offer 2 pricing tiers including a free option.

What are the main features of Cline?+

Cline includes Plan/Act two-phase workflow with human-in-the-loop approval, Autonomous file creation, editing, and deletion with diff preview, Integrated terminal command execution with output capture and 2 other features. An open-source autonomous AI coding assistant for VS Code with Plan/Act modes, terminal execution, file editing, and Model Context Protocol for custom...

What are alternatives to Cline?+

Popular alternatives to Cline include [object Object], [object Object], [object Object], [object Object], [object Object]. Each offers different features and pricing models.
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What's New in 2026

In early 2026, Cline expanded beyond VS Code with new JetBrains IDE integration (IntelliJ IDEA, PyCharm, WebStorm) and a dedicated Cline CLI for terminal-first developers, surpassing millions of installs across all platforms and 60,200+ GitHub stars. The team introduced a Kanban task orchestration sidebar that lets developers manage multiple parallel autonomous coding tasks with linked dependency chains—a first among open-source AI coding tools. Other notable additions include an improved checkpoint and rollback system for safer multi-file operations, enhanced MCP server discovery and management, and expanded model support for the latest releases from Anthropic, OpenAI, Google, and the open-source model community. The enterprise tier also launched with centralized API key management and compliance features for team deployments.

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