Continue vs Cursor
Updated April 29, 2026
Overview
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.
Cursor is an AI-native code editor built as a fork of VS Code, designed from the ground up for AI-assisted development. It features intelligent code completion, multi-file editing, codebase-aware chat, and an agent mode that can autonomously plan and execute coding tasks. Cursor uses a combination of its own models and frontier LLMs (Claude, GPT-4) to provide the most context-aware coding assistance available. It has become the editor of choice for many AI-first developers.
Key features
Core capabilities each platform advertises.
- 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
- AI-native code editor (VS Code fork)
- Codebase-aware chat
- Multi-file editing with Composer
- Tab completion with context
- Built-in terminal AI
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
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
Pros
- Deep context awareness with codebase indexing for project-specific suggestions
- Familiar VS Code interface with easy migration of extensions and settings
- Supports 26 LLMs from multiple providers with quick model updates
- Privacy mode prevents codebase from being used for model training
- Comprehensive documentation and large active community
Cons
- Inconsistent code edits with some models failing to apply changes
- Frequent pricing changes and unclear usage limits frustrate users
- Performance degrades with larger codebases during file indexing
- Struggles with complex tasks in long conversations, sometimes ignoring rules
What people are saying
Continue.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 reviewContinue or Cursor — which should you choose?
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
Choose Cursor if you wantChoose if you want
- Codebase-aware code generation
- Multi-file feature implementation
- Refactoring with full project context
- Debugging with AI assistance
- Rapid prototyping and iteration
Compare Continue and Cursor 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 500+ models through one gateway.