Cline vs Claude Code: two ways to code with Claude

Cline and Claude Code are both tools for writing code with Claude. That is where the easy comparison ends. Cline is a VS Code extension that puts Claude-powered assistance inside your editor, right next to the file you are working on. Claude Code is a terminal-native CLI agent that takes over a directory and works through tasks without an IDE surface at all.

Both are free to run on your own API key. Both support the latest Claude models. Both can edit files, run terminal commands, and work across multiple files. But they are built around different assumptions about where the developer should sit and how much of the work the agent should drive end to end.

Cline: AI assistance inside your editor

Cline started as a VS Code extension and has since expanded to JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand), Cursor, Windsurf, Zed, and a CLI preview for macOS and Linux. The core surface is still the editor pane - you see the agent's edits as diffs inline, accept or reject individual changes, and stay oriented in the same file tree you already know.

The defining workflow is Plan and Act. In Plan mode the agent reads your codebase and figures out what needs to change - no files are touched. In Act mode it executes the plan, asking for approval before each file edit, terminal command, or browser action. You control how much auto-approval you grant. For teams where different people have different risk tolerances, the approval model is configurable per person.

Cline supports 30+ model providers beyond Anthropic: OpenAI, Google, AWS Bedrock, Azure, Groq, and local models via Ollama or LM Studio. If your team does not want to be locked to a single vendor, or if you want to route different tasks to different models by cost or capability, Cline handles that routing natively. It also has an MCP tool integration with its own marketplace, so you can connect databases, internal APIs, observability tools, and external services directly to the agent's context.

Where Cline is strong:

• Inline context. The agent sees exactly what you have open, your cursor position, and selected code. For exploratory edits across a known file - refactoring a function, extending a component, tracing a bug through a few files - the visual context is a genuine advantage over a terminal that does not know what you are looking at.
• Multi-model routing. 30+ providers, including local models. For teams that need cost flexibility or vendor independence, no other tool in this comparison matches that breadth.
• Plan mode as a safety net. The Plan/Act split means you can ask the agent to analyze what it would change before it touches anything. Useful when you are not sure the agent understands the scope, or when the change is high-risk and you want to review the approach first.
• MCP tool depth. An unlimited MCP tool slot with a community marketplace means you can extend what the agent can reach: databases, Jira, Sentry, your internal APIs. This is harder to replicate in a plain terminal session.

Where Cline adds friction:

• One conversation at a time per IDE window. Cline runs a single agent session in each editor window. Running two or three agents in parallel on separate workstreams means opening multiple windows and managing them manually - there is no native parallel dispatch.
• Context window fills faster. Because the agent sees your open files, diffs, and editor state, context fills up on large cross-cutting changes. On a long task that touches 20 files you will hit the limit sooner than in a terminal agent that is more selective about what it loads.
• IDE dependency. If your preferred editor is vim, emacs, or a plain terminal, Cline is not for you. The CLI preview exists but it is early. The experience is anchored to an IDE surface.

Claude Code: the terminal-native agent

Claude Code is built and maintained by Anthropic. It runs from the terminal, takes a working directory as its domain, and works on tasks with full shell access - it can run build commands, run tests, call git, and execute scripts the same way you would. There is no IDE surface. The terminal is the whole interface.

Because Anthropic builds it, Claude Code gets new model capabilities and protocol changes first. When Anthropic ships a new Claude model, Claude Code gets it without waiting for a third-party extension to catch up. The same applies to the underlying agent framework - subagent spawning, the /compact command for keeping long tasks running, and multi-instance orchestration via git worktrees are all built-in rather than bolted on.

Running multiple Claude Code agents in parallel is the pattern the tool is built around. You spin up one instance per git worktree, each on a separate branch, each working on a different task. They do not share context or interfere. You come back to a set of branches to review and merge. For workflows that involve a lot of parallelizable work - test coverage, multi-feature development, parallel bug fixes - this is where Claude Code pulls ahead of anything editor-integrated. The Claude Code worktree workflow covers that pattern in detail.

Where Claude Code is strong:

• Built for autonomous work. Claude Code is designed to run a task from start to finish without constant check-ins. It handles your build toolchain, runs your test suite, commits its work. The interaction model is "describe the task, review the output" rather than "approve each step."
• Native parallel execution. Worktree-based parallelism is the default pattern. Multiple instances on separate branches with no coordination overhead is exactly what the tool was designed for. No plugins or scripts needed.
• Terminal-native means no IDE overhead. Context goes to code and commands, not editor state. On large tasks that work through many files sequentially, Claude Code tends to stay coherent longer before hitting the context limit.
• Anthropic-first capabilities. Subagent spawning (a Claude Code agent that delegates sub-tasks to child agents), computer use, and new model access land here before any extension can ship them.

Where Claude Code adds friction:

• No inline diff view. Changes happen in your working directory and you review them in a separate diff tool or git status. If you want to see what the agent changed as it made each edit, there is nothing equivalent to Cline's inline accept/reject.
• Single model. Claude Code works with Anthropic's Claude only. If your team uses GPT-5 for some tasks or Gemini for others, Claude Code cannot route there. You need Cline or a different tool for multi-model workflows.
• Steeper learning curve for approval control. Cline's Plan/Act mode gives you a clear on-ramp for reviewing before the agent touches anything. Claude Code defaults to acting; you have to configure --disallowedTools and permission flags yourself to achieve the same level of oversight.
• Requires a Claude subscription or API key. Claude Code ships with Claude Max and Pro plans or via direct API access. There is no option to route to a local model or a cheaper provider the way Cline allows.

Which to pick

There is also a natural progression: many developers use Cline for incremental edits within a feature and Claude Code for larger autonomous tasks that span multiple files or require their own branch. The tools are not mutually exclusive, and choosing one does not mean abandoning the other. For a wider look at which patterns hold up at different scales and task sizes, which agentic coding patterns actually scale covers supervised single-agent work, parallel manual briefing, and orchestrated workflows across the whole range. The structured pipeline for Claude Code is worth reading before committing to the full autonomous end of the spectrum.

The process layer neither provides

Cline and Claude Code both make executing code changes faster. What neither solves is the structure around what gets built: deciding on a direction before the agent runs, a design step where you verify the approach visually before implementation starts, a review gate that checks the agent's output before it merges. Whether you are using an extension or a terminal, the agent executes what you point it at. The question of what to point it at - in what order, with what checks - is still yours to manage.

defract operates at that layer: a structured lifecycle (story, design, architecture, implementation, review, release) that wraps Claude Code with a visual design stage and enforced review gates where agents check each other's work before you sign off. It is not a replacement for Claude Code - it runs on top of it. For anyone running Claude Code on real projects at any volume, why AI coding agents need hard stage boundaries covers why that structure matters.