Cursor vs Continue.dev: AI Coding Assistants Compared 2026

Cursor hit $2 billion in annualized recurring revenue on March 2, 2026 — the fastest-growing developer tool in history, doubling from $1B ARR in three months. Continue.dev has 26,000+ GitHub stars and is the leading open-source alternative: model-agnostic, privacy-first, and free. One is a polished AI-native editor; the other is a universal AI interface you plug into VS Code or JetBrains. The right choice depends on whether you value seamless AI integration or model flexibility and control.

TL;DR

Cursor for individual developers and teams who want the best out-of-the-box AI coding experience — tab completion that predicts multi-line edits, excellent multi-file editing (Composer), and a polished UX. $20/month Pro. Continue.dev when you need to bring your own models (OpenAI, Anthropic, Ollama, local LLMs), stay on VS Code or JetBrains, or keep your code off third-party servers. Free and open-source. For most developers starting in 2026, Cursor's AI experience is substantially better — but Continue is the right call for privacy-conscious teams and enterprise environments with model governance requirements.

Key Takeaways

• Cursor: $2B ARR in March 2026, 1M+ users, 360K paying customers, VS Code fork, Cursor 2.5 with long-running agents
• Continue.dev: 26,000+ GitHub stars, open-source (Apache 2.0), VS Code + JetBrains extension, any LLM backend
• Cursor Pro: $20/month — includes Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, and Cursor's own Tab model
• Continue: Free to self-host, $10/month for managed plans, Enterprise pricing
• Cursor: Best-in-class tab completion, Composer for multi-file edits, codebase indexing
• Continue: BYOM (bring your own model) — Ollama, LM Studio, OpenAI, Anthropic, any OpenAI-compatible API
• Privacy: Cursor stores code in the cloud for indexing; Continue can run fully local with no data leaving your machine

The AI Coding Landscape in 2026

AI coding tools have moved from novelty to standard practice. The question isn't whether to use AI assistance — it's which tool fits your workflow, budget, and privacy requirements.

The two main architectures:

AI-native editor (Cursor): A VS Code fork where AI is deeply integrated into the editing experience — not bolted on. The entire UI and keybindings are designed around AI-first workflows.

AI extension (Continue.dev): Adds AI capabilities to your existing editor without switching tools. Runs as a VS Code or JetBrains extension, connecting to whatever LLM backend you choose.

Cursor

Type: VS Code fork (standalone application) Pricing: Free (limited), Pro $20/month, Business $40/user/month ARR: $2B (March 2026) Users: 1M+

Cursor installs as a standalone editor that imports your existing VS Code settings, extensions, and keybindings. From day one, it feels like VS Code — but with AI as a first-class citizen rather than an afterthought.

Installation

# Download from cursor.com
# macOS: Cursor.dmg
# Windows: CursorSetup.exe
# Linux: cursor-*.AppImage

# Imports existing VS Code settings on first launch
# All VS Code extensions work in Cursor

Tab Completion (Cursor Tab)

Cursor's Tab model is what differentiates it from competitors. It doesn't just complete the current line — it predicts multi-line changes based on what you just modified:

// You rename a function parameter:
function createUser(userName: string, email: string) {
  //                  ^ You rename this to `name`
}

// Cursor Tab automatically suggests:
function createUser(name: string, email: string) {
  const user = await db.insert(users).values({ name, email }); // suggested
  //                                            ^ also updated
}

This is Cursor's biggest differentiator — it observes your recent edits and suggests the logical next change across the file, not just at the cursor position.

Composer (Multi-File Editing)

Composer lets you describe a change in natural language and apply it across multiple files:

"Add authentication middleware to all API routes and create a
/api/auth/login endpoint that validates credentials against the
users table in our Drizzle schema"

Cursor reads your codebase, plans the changes, shows diffs for each file, and applies them all with a single confirmation. This is the workflow that has driven enterprise adoption — Cursor reports over 90% of developers at Salesforce use it.

Cursor 2.5 (February 2026): Long-Running Agents

// Cursor 2.5 background agents:
// Run long-running tasks without blocking your editor

// Example: "Run the full test suite, fix any type errors
// you find, and create a PR with the changes"

// Cursor agents can:
// - Run terminal commands
// - Edit multiple files
// - Read test output and iterate
// - Create commits and PRs
// All while you continue editing other files

Model Support

Cursor Pro includes access to:

• Claude 3.5 Sonnet (Anthropic)
• GPT-4o and GPT-4 Turbo (OpenAI)
• Gemini 1.5 Pro (Google)
• Cursor Tab (Cursor's own fine-tuned completion model)
• o1 and o3-mini (OpenAI reasoning models, extra cost)

Privacy Considerations

Cursor indexes your codebase for context — this means code is processed by Cursor's servers. For most individual developers and startups, this is acceptable. For enterprise environments with sensitive IP:

Cursor Business ($40/user/month) includes:
- Privacy Mode: code is not stored or trained on
- SOC 2 Type II certification
- SSO/SAML
- Audit logs

Cursor Limitations

• Requires switching from your existing editor to Cursor
• $20/month for Pro (free tier has usage limits)
• Code sent to cloud for indexing (opt-out in Business tier)
• Tab model requires internet (no local-only option)

Continue.dev

Type: VS Code and JetBrains extension License: Apache 2.0 (open-source) GitHub stars: 26,000+ Pricing: Free to self-host, $10/month managed, Enterprise

Continue is the open-source AI coding assistant. You stay in VS Code or JetBrains, and you bring whatever LLM you want — local models via Ollama, OpenAI, Anthropic, or any OpenAI-compatible API.

Installation

# VS Code:
# Install "Continue" from VS Code marketplace
# Or: code --install-extension Continue.continue

# JetBrains:
# Install from JetBrains Marketplace
# Works with IntelliJ, PyCharm, WebStorm, etc.

Configuration

// ~/.continue/config.json
{
  "models": [
    {
      "title": "Claude 3.5 Sonnet",
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20241022",
      "apiKey": "sk-ant-..."
    },
    {
      "title": "Local Llama 3",
      "provider": "ollama",
      "model": "llama3:8b"
      // No API key — runs locally
    },
    {
      "title": "GPT-4o",
      "provider": "openai",
      "model": "gpt-4o",
      "apiKey": "sk-..."
    }
  ],
  "tabAutocompleteModel": {
    "title": "Starcoder2 (local)",
    "provider": "ollama",
    "model": "starcoder2:3b"
    // Fast local autocomplete
  }
}

Local Models with Ollama

# Run models entirely locally — no internet needed:
ollama pull codellama:13b    # Meta's code-focused LLM
ollama pull llama3:8b        # General purpose, fast
ollama pull starcoder2:3b    # For tab completion (fast)
ollama pull deepseek-coder:6.7b  # Strong code model

# Continue config:
{
  "provider": "ollama",
  "model": "llama3:8b"
  // All inference runs on your machine
}

For developers who can't share code with third-party APIs (healthcare, finance, government), fully local operation is the key differentiator.

Chat Interface

// Continue's chat is accessible via Cmd+I (inline) or sidebar

// Inline edit:
// Select code → Cmd+I → describe the change
// "Refactor this function to use async/await instead of callbacks"

// The change appears as a diff you can accept or reject

// Chat for questions:
// "What does this middleware do?"
// "Why is this causing a memory leak?"
// Continue reads the highlighted code or the full file for context

Codebase Context

// Continue can index your codebase for RAG (retrieval-augmented generation):
{
  "contextProviders": [
    {
      "name": "codebase",
      "params": {
        "nRetrieve": 10,
        "nFinal": 5
      }
    },
    {
      "name": "docs",
      "params": {
        "sites": ["https://docs.your-library.com"]
      }
    }
  ]
}

Continue for Teams

Continue's managed offering ($10/month) adds:

• Shared model configurations across team
• Usage analytics
• Custom context providers
• Enterprise: SSO, audit logs, on-premise deployment

Continue Limitations

• Tab completion less capable than Cursor Tab (depends heavily on which model you use)
• Multi-file editing is less polished than Cursor's Composer
• Requires configuration to set up models (Cursor works out of the box)
• No long-running background agents (as of early 2026)

Feature Comparison

Feature	Cursor	Continue.dev
Type	Standalone editor (VS Code fork)	VS Code/JetBrains extension
Price	$20/month Pro	Free (BYOM), $10/month managed
Tab completion	Cursor Tab (best-in-class)	Depends on model choice
Multi-file editing	Composer (excellent)	Good, less polished
Local models	No	Yes (Ollama, LM Studio)
BYOM (bring your own model)	Limited (Pro includes 3 models)	Yes (any OpenAI-compatible API)
Privacy/local only	No (indexing requires cloud)	Yes (fully local possible)
Background agents	Yes (Cursor 2.5)	No
Open source	No	Yes (Apache 2.0)
JetBrains support	No	Yes
Codebase indexing	Excellent (cloud)	Good (local RAG)

When to Use Each

Choose Cursor if:

• You want the best AI-assisted coding experience with minimal setup
• $20/month is acceptable for Pro features
• You're comfortable switching from VS Code to Cursor (settings/extensions transfer)
• Multi-file editing and background agents are important to your workflow
• You're an individual developer or team without strict code privacy requirements

Choose Continue.dev if:

• You need to stay in VS Code or JetBrains (team standardization, existing workflow)
• Privacy is critical — code must not leave your machine (use Ollama locally)
• You want to control which model runs in which context (different models for different tasks)
• You're in an enterprise with existing LLM API contracts
• Budget constraints — fully free with your own API keys

The 2026 Reality

Cursor's $2B ARR isn't just a funding story — it reflects genuine developer productivity gains. The Composer and Tab completion are meaningfully better than what you'd get from Continue + any available model. For solo developers and teams where productivity > privacy, Cursor Pro at $20/month pays for itself quickly.

Continue's value proposition is control. If you have sensitive code, specific model requirements, or an enterprise environment with governance requirements, Continue is the only serious option. The open-source model also means you're not dependent on Cursor's commercial trajectory.

Both tools integrate with the same models — the difference is whether the AI infrastructure is Cursor's managed platform or your own configuration.

Compare AI coding tool packages on PkgPulse.