Continue.dev vs Cline 2026: Which Is Right for You?

Cline launched 14 months after Continue.dev, but it already has nearly twice the GitHub stars: 62,765 vs 33,539 as of June 2026. The race matters to you if you’re paying for Copilot or Cursor and wondering whether open-source tools have caught up. Short answer: yes, but the right choice depends on how you work. Most developers who dig into both end up running them side by side.

Who this is for

Developers weighing open-source AI coding tools that can run for $0 with your own API keys, or fully offline with a local model. If you’re comparing paid subscriptions — Cursor vs Claude Code or Cursor vs Copilot — see those comparisons separately.

Quick verdict

	Choose Continue.dev	Choose Cline
Your primary need	Autocomplete + in-editor chat	Autonomous multi-step tasks
IDE	JetBrains (first-class support)	Zed, Neovim, Windsurf, Cursor, or VS Code
Cost priority	Budget-conscious, predictable spend	Task completion matters more than per-token cost
Autonomy preference	Stay in control of each edit	Let the agent plan and execute

What Continue.dev and Cline are

Continue.dev (v1.3.38) is a pair programmer that lives in your IDE. You get tab autocomplete, a chat panel, and an edit mode that proposes inline diffs. It can index your codebase, pull in external docs, and run as a CI bot to catch issues before they land. The philosophy is: keep the human in the loop at every step.

Cline (v3.87.0) is an autonomous execution agent. It uses a Plan/Act architecture: it builds a plan first, shows it to you, then executes — writing code, running terminal commands, making browser calls, reading error output, and iterating. The philosophy is: give it a goal, not a series of micro-instructions. Daily release cadence means the tool moves fast; features that weren’t there last week may be there now.

The difference is not just in what they do. It’s in how they expect you to work. Continue assumes you’re driving; Cline assumes you’ve handed it the wheel.

Core features

Continue.dev

Continue’s autocomplete is trained specifically for code completion. It watches what you’re typing and suggests continuations mid-line or across multiple lines. The chat panel supports slash commands, @ context inclusion (files, docs, terminal output, GitHub issues), and a configurable prompt library. Edit mode produces an inline diff you accept or reject.

The doc indexer is practical. Point it at a library’s documentation URL and Continue builds a local index that persists across sessions. For codebases with a lot of internal APIs or outdated third-party docs, this closes a gap that chat-only tools miss.

CI bot mode runs Continue as a non-interactive review step in a GitHub Actions workflow. It flags issues, adds comments, and optionally opens PRs. Not many developers use this; it’s worth knowing it exists.

Cline

Cline’s Plan/Act split is its most important design decision. In Plan mode, Cline reads your task and proposes a structured list of steps. You can edit, add, or remove steps before execution starts. In Act mode, it works through the list. This keeps you informed without requiring you to approve every file edit.

MCP (Model Context Protocol) tool use lets Cline call external tools — databases, APIs, custom scripts — as part of a task. You define the tools in .clinerules; Cline invokes them when the plan calls for it.

.clinerules is Cline’s governance file. You can specify which files the agent may and may not touch, which commands it can run without prompting, and per-project behavioral constraints. For teams with security policies or sensitive directories, this is the feature that makes autonomous use practical.

Browser control is available when using a capable model. Cline can open URLs, click elements, fill forms, and read the rendered DOM. This is primarily useful for end-to-end testing workflows — not general web scraping.

LLM support

Both tools support more than 20 providers through standard API keys. Both support local models via Ollama. The actual list of supported providers changes faster than any article can track; the configuration documentation for each project is the authoritative source.

The key difference is which models each team defaults to testing on. Cline’s core developers use Claude Sonnet models heavily, and the Plan/Act architecture is tuned for models with strong multi-step reasoning. Continue’s team tests broadly across providers and has invested more in smaller, faster models for autocomplete latency.

OpenRouter gives you access to 400+ models through one API key and one billing account. You can route autocomplete to a cheap, fast model and complex agentic tasks to a more capable one. If you’re experimenting with multiple providers, OpenRouter is the most practical way to consolidate.

For local models, qwen2.5-coder:7b via Ollama is a reasonable starting point for autocomplete in both tools. For agentic tasks in Cline, you’ll want a 14B+ model at minimum; 32B if your machine has the RAM.

IDE support

IDE	Continue.dev	Cline
VS Code	Yes	Yes
JetBrains (IntelliJ, WebStorm, etc.)	Yes (first-class)	Yes
Cursor	No	Yes
Windsurf	No	Yes
Zed	No	Yes
Neovim	No	Yes

Continue’s JetBrains support is mature and maintained by the core team. Cline’s JetBrains port arrived later but has been catching up.

For VS Code, both tools are well-maintained. Cline has 4.2M VS Code installs with a 4/5 rating; Continue has 3.2M with a 3.5/5 rating.

If you’re on Zed, Neovim, or a non-VS-Code Electron editor, Cline is your only option of the two.

Privacy and local setup

Both tools run fully air-gapped with a local Ollama model. No code leaves your machine. Neither tool requires a cloud account to function.

For corporate environments with strict proxy configurations or egress filtering, Continue has more configuration surface area for network routing. The configuration spec supports custom HTTP headers, proxy URLs, and certificate overrides.

Cline’s .clinerules handles the other side of the privacy question: what the agent is allowed to do, not just where it phones home. Teams with sensitive directories or restricted commands can express those constraints in the rules file per project.

Cost to run

Setup	Monthly cost
Ollama, local model only	$0
Cloud model, light autocomplete use	$5–15
Cloud model, moderate chat + edits	$20–50
Cline agentic use, Claude Sonnet	$50–200

The high end is real. Cline running a full task-execution loop with tool calls on a model like Claude Sonnet 4.6 can consume $5–15 per hour of active use depending on context window size and task length. This is not a bug — it’s the cost of autonomous execution with a capable model. Use OpenRouter with model routing to cap costs: route short tasks to a cheaper model, escalate to Sonnet only for complex work.

Continue’s autocomplete is cheaper per unit because it uses shorter prompts and faster models. For pure autocomplete-focused workflows, $10–20/month is achievable with a mid-tier cloud model.

The $0 path is real too. Qwen 2.5 Coder 7B running on a modern Mac handles autocomplete and short chat tasks well. For agentic Cline use, expect noticeably worse results than a frontier model on complex tasks.

Community and ecosystem

At 62,765 stars and daily releases, Cline has the momentum. The contributor count reflects active external contribution, not just a core team.

Continue has 33,539 stars and a steady, less volatile release cadence. Its traction in enterprise environments — where the CI bot and proxy-friendly config matter — gives it a different kind of gravity.

Roo Code is worth knowing about. It’s a Cline fork with some additional features: smarter context management, tighter .clinerules tooling, and a different default model routing strategy. If you try Cline and find friction at the edges, Roo Code is worth a look. It tracks the Cline core closely enough that switching between the two is low-cost.

Both tools are Apache 2.0 licensed. Fork risk is real with any open-source tool; Apache 2.0 means you’re not locked out if the project changes direction.

The case for running both

The overlap between Continue and Cline is real but not total. Continue’s tab autocomplete has no equivalent in Cline — Cline doesn’t insert completions as you type. Cline’s multi-step execution with terminal access has no equivalent in Continue.

A common setup: Continue runs for autocomplete and quick in-editor questions. Cline handles feature work, refactors, and anything that spans more than a few files. The VS Code extension slots for both are available simultaneously. There is no architectural conflict.

This is not a “use the right tool” hedge. It’s the setup a meaningful number of production developers actually run. The installs support this — 4.2M for Cline and 3.2M for Continue are not mutually exclusive user bases.

Verdict

Pick Continue.dev if: you spend most of your time in JetBrains, autocomplete is a core part of your flow, you want predictable low costs with light model use, or your environment has network restrictions that require careful proxy configuration.

Pick Cline if: you work in Zed, Neovim, Windsurf, or Cursor, you want autonomous execution for multi-step tasks, you’re comfortable with .clinerules for governance, or you’re willing to spend more per task to get it done without micro-managing.

Run both if: you want autocomplete and agentic execution — which is the setup most developers land on after trying each independently.

Caveats

Cline releases daily. Feature details in this article will drift; check the changelog before making a decision based on a specific feature.
The cost estimates assume typical token consumption patterns. Your actual spend depends on context window usage, task complexity, and model choice.
OpenRouter is an affiliate link. We use it ourselves for cross-provider routing. The recommendation is based on that use, not on the commission.
We have not tested Roo Code at the same depth as the two primary tools; treat that mention as a pointer, not a full evaluation.