Cline vs Claude Code: the comparison to pick your AI agent

The difference in one minute

Before the details, the essential contrast comes down to four points.

• Where it runs: Cline lives in the sidebar of a code editor (VS Code and others); Claude Code launches in the terminal, no editor required.
• The AI model: Cline is model-agnostic — Claude, GPT, Gemini or even a local model on your machine; Claude Code works with Anthropic’s Claude models.
• The cost: the Cline extension is free and open source, and you pay for the usage of whichever model you plug in; Claude Code comes with a paid Claude subscription or usage-based API billing.
• The working style: Cline asks for your approval at every step; Claude Code chains steps with more autonomy.

Cline: the open-source agent that lives in your editor

Cline — formerly known as “Claude Dev” — is an open-source project under the Apache 2.0 licence. It installs as a VS Code extension and shows up in a side panel: you describe a mission, it reads the project files, proposes changes, runs commands — and asks for your approval before each action. Its “Plan/Act” mode separates thinking from doing: the agent lays out its plan first, you approve, then it acts.

Its strength is model freedom. You connect the provider of your choice with your own API key: Anthropic’s Claude models, OpenAI’s or Google’s, or a model running locally on your machine through tools like Ollama. You then pay the model provider per usage — the extension itself costs nothing.

Claude Code: Anthropic’s agent, built for delegation

Claude Code is developed by Anthropic, the company that creates the Claude models. It launches in the terminal — your computer’s command window — inside the folder of your choice. You describe the mission in plain language, it reads the folder’s files, proposes a plan, then works: creating documents, editing them, chaining steps end to end, with fewer approval round-trips than Cline.

Being built by the maker of the models it runs on, it uses their capabilities closely. And it has one precious habit: before working, it reads the instruction files in the folder — such as AGENTS.md or CLAUDE.md — which describe its role, your rules and the way you work. That is what turns it from a generic assistant into one that knows your line of work.

Pricing: two different logics

Cline follows the “free tool, paid usage” logic: the extension costs nothing, but every mission consumes the model you plugged in, billed per usage by its provider. Your bill therefore varies with your activity — a few cents for a small task, more for long missions. A local model removes that cost, at the price of a powerful enough machine and results often behind the big models.

Claude Code follows the subscription logic: it is included in Claude’s paid plans, with usage limits depending on the plan, or billed per usage through the API. Plans and their terms change regularly — Anthropic’s official website remains the reference to check. The practical upside of the subscription: a monthly budget known in advance.

Which one to choose, depending on your profile

There is no absolute winner — there is a tool that fits your situation.

• You are not a developer and want to delegate missions on your documents: Claude Code. No code editor to tame, a conversation inside a folder, and an agent that sees things through.
• You want to see and approve every change before it lands: Cline. Its approval-based flow is made for that.
• You want to compare several AI models, or work with a local model without sending your data to a provider: Cline, the only model-agnostic one of the two.
• You already subscribe to Claude or prefer a predictable budget: Claude Code, included in Claude’s paid plans.

What they share: without context, neither knows you

The point comparisons forget: the quality of the result depends less on the tool than on the context you give it. Both agents read instruction files placed in your project — Cline with its rules system (the “.clinerules” files), Claude Code with AGENTS.md and CLAUDE.md. Opened in an empty folder, both answer like any chat: generalities.

That is exactly the problem the Claude Code AI Workspace Kit takes on: you answer a few questions about your line of work, and your Context Folder is generated — an AGENTS.md defining the AI’s role, your working rules, typical missions and examples. The kit is being built: sign up on its page to be told when it ships.