Cline vs Continue (2026): Autonomous Agent vs Copilot
Updated April 29, 2026
How they actually differ
Cline and Continue both live inside VS Code and JetBrains and both call themselves AI coding assistants, but they sit at different points on the autonomy spectrum and that one decision drives almost everything else about which one to pick.
Cline is an autonomous coding agent. You give it a task, it reads files, writes files, runs commands, and iterates until done. It is the closest open-source equivalent to Claude Code in style: the agent owns the loop, the human reviews diffs. Best for tasks where you can describe the outcome in a sentence and walk away (refactor this module, fix this test, add this feature behind a flag). The trade-off is that on tasks with nuance the model takes a wrong path five steps deep and you have to interrupt and steer.
Continue is a code assistant in the older sense. Chat in the sidebar, inline edits, autocomplete, slash commands. The human owns the loop, the model assists. Best when you want fast, in-flow help while you stay in the driver's seat. It also has agent capabilities now, but the center of gravity is still assistive rather than autonomous.
Where the trade-off bites: Cline saves more time on big mechanical tasks (mass refactors, scaffolding, repetitive edits) and on tasks you would otherwise context-switch off the keyboard for. Continue keeps you faster on the actual code review and architecture work where you do not want a model running ahead of you. Most engineers we talk to use both, switching by task.
Where Respan fits. If you want the same model routing, cost tracking, and prompt control across whichever coding agent you happen to be using, that is the gateway side of Respan. Point your tools at the Respan gateway endpoint and you get one place for keys, budgets, and per-developer cost breakdowns regardless of which assistant is in front. See the proxy coding agents cookbook for the wiring.
Overview
Cline is the OG open-source autonomous coding agent for VS Code with 5M+ installs. It creates and edits files, runs terminal commands, controls the browser, and supports MCP — all step-by-step with your permission. Free OSS extension; pay only for AI inference. Teams plan: $20/user/mo (first 10 seats free).
Continue is the leading open-source AI code assistant for VS Code and JetBrains, with autocomplete, chat, edit, and agent capabilities powered by any LLM you choose — Claude, GPT-4, Mistral, or local models via Ollama. Free OSS extension plus a Hub for source-controlled prompts, rules, and CI checks; paid plans from $10/mo.
Key features
Core capabilities each platform advertises.
- Step-by-step permission gating for every file edit, command, and browser action
- Model Context Protocol (MCP) support for agent-extensible tools
- Works with any LLM — Claude, OpenAI, Google, local
- Browser control and full terminal integration
- Most-installed open-source coding agent on VS Code (5M+)
- Autocomplete, chat, edit, and agent modes in VS Code and JetBrains
- Bring any LLM — Claude, GPT-4, Gemini, Mistral, or local Ollama
- Source-controlled config: prompts, rules, and context providers live in the repo
- Continue Hub for shared assistants, rules, and CI-enforceable AI checks
- On-prem, cloud, or fully offline deployment for compliance-sensitive teams
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- OG agentic coding agent — battle-tested with 5M+ installs
- Step-by-step permissions keep humans in the loop
- Pairs especially well with Claude Sonnet's tool use
- Open-source under MIT — no lock-in
- Strong community + active fork ecosystem (Kilo, Roo)
Cons
- VS Code only (JetBrains arrives with Teams plan)
- Pay-per-token costs add up for heavy agentic workloads
- Newer forks (Kilo, Roo) ship features faster
- Permission prompting can feel slow on long tasks
Pros
- 100% open-source — no vendor lock-in, fully auditable
- Most flexible model support of any major coding assistant
- Source-controlled AI configuration treats prompts like code
- Strong on-prem / air-gapped story for enterprise
- Active Hub marketplace and community contributions
Cons
- Setup is more involved than turn-key tools like Copilot or Cursor
- UX is functional rather than polished compared to Cursor
- Quality bound to your chosen model — no built-in agent intelligence
- Smaller out-of-the-box integration set than incumbents
What people are saying
It's like having a senior dev who actually reads and understands your entire codebase before making suggestions.
Read full reviewContinue.dev isn't the easiest AI coding assistant, and it's not the prettiest, but it's undeniably the most powerful and flexible option available.
Read full reviewCline or Continue — which should you choose?
Choose Cline if you wantChoose if you want
- Autonomous multi-file feature implementation in VS Code
- Agent-driven refactors with reviewable per-step permission
- Terminal automation under agent control
- BYO model coding workflows (Claude, GPT, local)
- Browser-based testing and debugging from the agent
Choose Continue if you wantChoose if you want
- Standardized AI coding workflows across an engineering org
- On-prem or air-gapped development for regulated industries
- BYOK with no markup across many providers
- Source-controlled prompts and rules under code review
- CI gates that enforce AI-output quality before merge
Compare Cline and Continue on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
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