Cline vs Continue
- ✦ Autonomous Code Editing
- ✦ File System Access
- ✦ Terminal Execution
- ✦ Autocomplete
- ✦ Chat Interface
- ✦ Edit Mode
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Cline reads error output from terminal runs, traces the failure through affected files using its file-read tools, and proposes diffs with full previews before writing anything.
Cline parses a feature description, scaffolds new files, edits existing modules, and runs the dev server to verify the change, all within a single agent session.
Plan mode shows the full list of proposed file changes before execution, letting engineers approve or reject each step rather than accepting a blind rewrite.
Continue routes completions through Ollama or LM Studio, giving teams autocomplete and chat on private codebases without sending any code to a cloud API.
Continue's context provider API indexes internal wikis, runbooks, or proprietary SDKs so the assistant answers questions with company-specific knowledge rather than generic web answers.
config.json specifies different models for autocomplete, chat, and edit per repository, so a Python repo uses DeepSeek-Coder while a React repo uses GPT-4o.
Pricing Intelligence
Cline Plans
Free tier available
- • Open source
- • Bring your own API key
- • All features included
Continue Plans
Free tier available
- • Open source
- • Bring your own model
- • VS Code & JetBrains
- • Hosted models
- • Team features
- • Priority support
Feature Matrix
5 differences found across 15 standardized features
- •Autonomous Code Editing
- •File System Access
- •Terminal Execution
- •Browser Control
- •Multi-model Support
- •VS Code Extension
- •Task Completion
- •Code Review
- •Bug Fixing
- •Refactoring
- •Test Writing
- •Documentation
- •API Key Support
- •Custom Instructions
- •MCP Support
- •Autocomplete
- •Chat Interface
- •Edit Mode
- •Multi-model Support
- •VS Code Extension
- •JetBrains Plugin
- •Custom Prompts
- •Codebase Context
- •Model Switching
- •Local Model Support
- •RAG for Codebase
- •Tab Autocomplete
- •Inline Editing
- •Test Generation
- •Documentation
Pros & Cons Face-Off
Evaluative strengths and weaknesses: not feature lists
- +Completely free and open source
- +Full autonomous capabilities
- +Supports any LLM via API key
- +Active community development
- −Can rack up high API costs with complex tasks
- −Requires your own API key
- −Occasional errors on complex multi-file tasks
- +Works with any LLM including local models
- +Both VS Code and JetBrains support
- +Highly customizable
- +Active open-source community
- −Setup requires more configuration than Copilot
- −Quality depends heavily on chosen model
- −Enterprise features still maturing
At a Glance
Frequently Asked Questions
Related Comparisons
Sources
- 1.Cline Official Pricing–Vendor pricing page
- 2.Continue Official Pricing–Vendor pricing page
- 3.Cline Official Website–Official product website
- 4.Continue Official Website–Official product website