Cline vs Continue
Detailed side-by-side comparison to help you choose the right tool
Cline
🔴DeveloperAI Coding
Open-source autonomous coding agent that runs as a VS Code (and JetBrains) extension, using your own API keys to plan, edit files, run terminal commands, and iterate against real feedback — the reference implementation of a transparent agentic coding loop.
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Starting Price
FreeContinue
🔴DeveloperDeveloper Tools
Open-source AI coding assistant for VS Code and JetBrains — bring any model, any MCP server, and share reusable rules and agents across your team via Continue Hub.
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Starting Price
FreeFeature Comparison
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Cline - Pros & Cons
Pros
- ✓Shows proposed edits and commands before execution
- ✓Supports many hosted and local model providers instead of locking users to one
- ✓Checkpoint history makes experimental agent runs easier to unwind
- ✓Deep MCP support connects browsers, databases, tickets, and internal tools
Cons
- ✗BYO-model usage can become expensive during long agent loops
- ✗Frequent approval prompts trade autonomy for safety
- ✗Output quality and cost vary substantially by selected model
- ✗Managed and team pricing needs vendor confirmation
Continue - Pros & Cons
Pros
- ✓Open-source assistant for VS Code and JetBrains. This directly supports the primary workflow.
- ✓Bring-your-own-model: Anthropic, OpenAI, Ollama, local, any provider.
- ✓First-class MCP client — any MCP server becomes callable tools.
- ✓Continue Hub for sharing assistants, rules, prompts across a team.
Cons
- ✗At least one tier requires a sales quote, preventing a complete public budget calculation.
- ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
- ✗MCP connectivity expands the permission surface and requires narrow scopes, approvals, logs, and credential rotation.
- ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.
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