Cline vs Continue
Cline and Continue are both free, open-source VS Code extensions that let developers bring their own API keys, but they solve fundamentally different problems. Cline is an autonomous coding agent that edits files, runs terminal commands, and supports MCP server integrations with full audit trails. Continue provides tab autocomplete, sidebar chat, and a structured Plan mode for everyday coding assistance across VS Code and JetBrains. This comparison covers when autonomous agents outperform inline assistants.
| Criteria | Cline | Continue |
|---|---|---|
| AI Model | Any LLM (Claude, GPT-4, local) | Any LLM (OpenAI, Anthropic, local) |
| Pricing | Free (OSS) + LLM API costs | Free (OSS) + LLM API costs |
| Code Completion | No inline completion | Tab autocomplete with any model |
| Chat / Agent | Autonomous agent, file editing, terminal | Sidebar chat, inline editing |
| IDE Support | VS Code extension | VS Code, JetBrains |
| Language Support | All major languages | All major languages |
| Privacy | Full control, bring your own key | Full control, runs locally |
| Customization | Custom instructions, MCP servers | config.json, custom slash commands |
Cline vs Continue: In-Depth Analysis
Cline and Continue occupy different niches in the open-source AI coding tool ecosystem, despite both being free VS Code extensions that support bring-your-own-key model access. Understanding the distinction between an autonomous agent and a coding assistant is key to choosing between them.
Cline functions as an autonomous coding agent trusted by over 5 million developers. When you give Cline a task, it enters a plan-then-act workflow: first analyzing what needs to change, then executing file edits, terminal commands, and even browser interactions. Every action appears in a full audit trail, and Cline requests permission before each step. This transparency model means you can delegate multi-file refactors, dependency upgrades, or feature implementations while maintaining oversight. Cline also supports MCP (Model Context Protocol) servers for extending its capabilities with custom tools and data sources. The open-source Teams plan is free through Q1 2026 and then $20/month, with the first 10 seats always free.
Continue takes a different approach by embedding AI directly into your editing flow. It provides tab autocomplete powered by any LLM (including local models via Ollama), a sidebar chat for quick questions, and a Plan mode that outlines multi-step changes before executing them. Continue also has an Agent mode for multi-file refactoring, but its primary strength is lightweight everyday assistance. The Solo plan is completely free, while Teams costs $10 per developer per month for shared configurations and analytics. Continue also supports JetBrains IDEs, giving it an edge for developers who work outside VS Code.
The practical difference shows up in workflow. Cline excels when you want to describe a task in natural language and have the AI execute it end-to-end, checking in at each step. Continue excels when you want fast completions as you type, quick answers to coding questions, and light refactoring without breaking your flow. Many developers actually use both: Continue for daily inline completions and Cline for larger autonomous tasks.
Both tools let you use Claude, GPT-4, Gemini, or local models through Ollama. Neither locks you into a specific provider, which keeps costs flexible. A developer spending mostly on Claude API calls might pay $20-50/month depending on usage intensity, which is comparable to commercial alternatives like GitHub Copilot.
Key Differences Between Cline and Continue
Core Paradigm
Cline is an autonomous agent that executes multi-step tasks with approval gates. Continue is an inline assistant with autocomplete, chat, and a lighter agent mode for everyday coding.
Autocomplete
Continue provides tab autocomplete with any model, a key feature for typing speed. Cline has no inline completion -- it focuses entirely on autonomous task execution and file editing.
IDE Coverage
Continue supports both VS Code and JetBrains IDEs natively. Cline is currently limited to VS Code, though forks like Roo Code and Kilo Code are expanding support.
MCP Integration
Cline has deep MCP server support for extending agent capabilities with custom tools, APIs, and data sources. Continue focuses on config.json customization and custom slash commands.
Team Features
Continue offers a $10/dev/month Teams plan with shared configs and analytics. Cline's Teams plan is free through Q1 2026, then $20/month with the first 10 seats always free.
Verdict
Cline and Continue represent two philosophically different approaches to AI-assisted development. Cline operates as a fully autonomous agent that can plan multi-step tasks, create and edit files, run terminal commands, and browse the web -- all with an approval step before each action so developers maintain control. Continue takes a lighter approach with three modes (Chat, Plan, and Agent) plus tab autocomplete powered by any model you choose. For developers who need to delegate complex, multi-file refactoring or feature implementation, Cline is the stronger choice. For those who want fast inline completions and quick chat-based Q&A without leaving their editor flow, Continue integrates more seamlessly into daily coding. Both are free and open-source, so the real cost is only your LLM API usage.
Pros & Cons Compared
Cline
Continue
Pricing Comparison
Cline
FreeOpen-source and free. You pay only for LLM API calls from your chosen provider (Anthropic, OpenAI, Google, local models, etc.).
Continue
FreeFree and open-source for individual developers. Teams plan at $10/developer/mo with additional features. You bring your own API keys or use local models.
Shared Language Support
Both Cline and Continue support these languages:
Which Should You Choose?
Choose Cline if you...
- Developers who need to delegate complex multi-file refactoring tasks
- Teams wanting autonomous task execution with full audit trails
- Projects requiring MCP server integrations for extended AI capabilities
- Solo developers who prefer describing tasks in natural language over manual coding
- Open-source contributors who want transparent, step-by-step AI assistance
Choose Continue if you...
- Developers who want fast tab autocomplete while typing code
- JetBrains users (IntelliJ, PyCharm, WebStorm) who need AI assistance
- Teams that want lightweight AI chat without disrupting editor flow
- Developers running local models via Ollama for privacy-sensitive work
- Small teams needing shared AI configurations at $10/dev/month
Switching Between Cline and Continue
Switching between Cline and Continue is straightforward since both use your own API keys. If moving from Continue to Cline, expect a workflow shift from inline completions to task-based delegation. Export your Continue config.json custom commands and recreate similar workflows as Cline custom instructions. If moving from Cline to Continue, set up your LLM provider in Continue's config and explore tab autocomplete settings. Many developers run both extensions simultaneously in VS Code without conflicts.
Sources & Methodology
Comparison outcomes are based on criterion-level scoring, pricing disclosures, official feature documentation, and practical workflow fit across IDE and CLI contexts.
- Cline official website
- Continue official website
- Last reviewed: 2026-02-23
FAQ
Can I use Cline and Continue together in VS Code?
Yes. Many developers run both extensions simultaneously. Continue handles tab autocomplete and quick chat, while Cline handles larger autonomous tasks. There are no known conflicts between the two extensions.
Is Cline or Continue cheaper for daily coding?
Both are free and open-source. The actual cost depends on your LLM API usage. Continue may cost less for daily use since tab completions use smaller, cheaper model calls. Cline's autonomous tasks involve longer conversations that consume more tokens, typically $20-50/month with Claude API.
Does Continue support autonomous file editing like Cline?
Continue added an Agent mode that can make multi-file changes, but it is lighter than Cline's autonomous agent. Cline's plan-then-act workflow with approval gates is more suited for complex, multi-step task delegation.
Which is better for large codebase refactoring?
Cline is better for large refactoring tasks because its autonomous agent can plan across multiple files, execute terminal commands, and verify changes. Continue's Agent mode works for smaller refactors, but Cline's full audit trail and step-by-step approval make it safer for major changes.
Can I use local LLMs with Cline and Continue?
Yes. Both support local models through Ollama and other local providers. Continue's tab autocomplete works well with smaller local models for fast completions. Cline's autonomous tasks benefit from larger models like Claude or GPT-4 for better planning accuracy.