If you've been in any developer Slack or Discord recently, you've seen the debate: Copilot vs Cursor vs Continue. All three are AI coding assistants. All three live inside your editor. But they work differently, cost differently, and are suited to different workflows.
This comparison tests all three on real tasks to help you make an informed choice — not based on marketing, but on what you'll actually experience day to day.
At a Glance
| GitHub Copilot | Cursor | Continue.dev | |
|---|---|---|---|
| Editor | Any (VS Code, JetBrains, Neovim) | Own editor (VS Code fork) | VS Code, JetBrains |
| Model | Copilot model (GPT-4o based) | GPT-4o, Claude, custom | Any (Ollama, Anthropic, OpenAI) |
| Price | $10/month ($19 Business) | $20/month | Free (open source) |
| Context | File-level | Codebase-level (indexing) | Configurable |
| Inline autocomplete | Excellent | Excellent | Good |
| Multi-file edits | Limited | Strong | Moderate |
| Self-hosted/private | No | No | Yes |
GitHub Copilot: The Incumbent
GitHub Copilot is the tool that started the AI code assistant category. Launched in 2021, it pioneered the "Tab to accept" inline suggestion model that every other tool now imitates.
What Copilot Does Best
Inline autocomplete is Copilot's strongest feature. The experience is fast and fluid — suggestions appear as ghost text, you hit Tab, and you're done. For repetitive patterns (REST endpoints, CRUD operations, test scaffolding), this becomes genuinely automatic.
// Type this, and Copilot completes the function:
async function getUserById(id: string): Promise<User | null> {
// Copilot suggests: try { return await db.users.findUnique({ where: { id } }); } catch { return null; }
}
Multi-IDE support is Copilot's practical advantage. If your team uses VS Code, JetBrains, Neovim, and Visual Studio, Copilot works in all of them. The other tools don't.
Copilot Chat (available in VS Code sidebar and JetBrains) is competent for short, targeted questions — "explain this function," "fix this error," "write a test for this." It doesn't handle deep, multi-turn analysis as well as Cursor's chat mode.
Where Copilot Falls Short
Copilot has no codebase-level context. It sees your open files, not your whole project. This matters when you ask it to refactor something that touches multiple files — it will refactor the file in front of it without knowing how that change ripples through the rest of your codebase.
Cursor: The Power User Choice
Cursor is a fork of VS Code with AI built into the editor itself. You get all your VS Code extensions, settings, and keybindings — plus a deeply integrated AI layer.
What Cursor Does Best
Codebase indexing is Cursor's key differentiator. When you open a project, Cursor indexes your entire codebase. When you ask it a question or request an edit, it can search across all your files — not just the one you have open.
# In Cursor's Cmd+K (inline edit) or Cmd+L (chat), you can ask:
"Refactor all API calls to use the new error handling pattern from utils/api.ts"
# Cursor will:
# 1. Understand the pattern in utils/api.ts
# 2. Find all files that make API calls
# 3. Apply the refactor consistently across all of them
Multi-file edits (Composer mode) let you make coordinated changes across multiple files in a single operation. This is genuinely powerful for refactors that touch many files.
Model choice: Cursor lets you pick between GPT-4o, Claude Sonnet, Claude Opus, and other models. For reasoning-heavy tasks, switching to Claude gives you better results.
Where Cursor Falls Short
Cursor is a fork of VS Code, not VS Code itself. Updates lag behind the official release, and occasionally an extension that works in VS Code doesn't work perfectly in Cursor. For most developers this is a minor inconvenience; for teams with unusual tooling, it may matter.
Privacy is also a consideration: your code is sent to Cursor's servers for indexing and completion. For enterprise teams working on sensitive code, this requires a careful policy review.
Continue.dev: The Open Source Option
Continue is an open-source AI code assistant that works as a plugin for VS Code and JetBrains. Its biggest differentiator: you can configure it to use any model, including models running locally on your own hardware.
What Continue Does Best
Model flexibility is Continue's headline feature. You can connect it to:
// ~/.continue/config.json
{
"models": [
{
"title": "Claude Sonnet",
"provider": "anthropic",
"model": "claude-sonnet-4-6",
"apiKey": "sk-ant-..."
},
{
"title": "Local Llama",
"provider": "ollama",
"model": "llama3:70b"
}
]
}
This means you can run completely private AI assistance using a local model like Llama 3 or Mistral, with no code leaving your machine. For security-conscious teams or individual developers, this is a genuine advantage.
Free to use: The Continue plugin itself is free. You pay only for API usage (if using a cloud model) or for hardware (if running locally). A team of 10 using Claude Sonnet API might pay $20-50/month total in API costs — significantly less than $10/user/month for Copilot.
Context codebase search: Continue can index your codebase and use it as context for chat. The implementation is less polished than Cursor's but covers the core use case.
Where Continue Falls Short
The setup is more involved than Copilot or Cursor. Getting a great experience requires configuring your models, choosing context providers, and understanding how the tool works. For developers who want something that "just works," Continue has a steeper learning curve.
The inline autocomplete quality is also generally below Copilot and Cursor when using the same underlying model. The tight integration in those tools produces better completions.
Head-to-Head: Real Task Performance
Task 1: Generate a REST endpoint with validation
All three tools handle this well. Given a brief description, all three produce working Express/FastAPI/Go endpoint code. Minimal difference.
Task 2: Explain a complex algorithm in a large codebase
Copilot: Explains the function you highlighted. Doesn't know context from other files.
Cursor: Understands the function and how it's called from elsewhere in the codebase. Substantially better answer.
Continue: Similar to Cursor if properly configured with codebase context, though the setup requires explicit configuration.
Task 3: Refactor for a new pattern across multiple files
Copilot: Handles the current file only. You repeat the process for each file manually.
Cursor (Composer mode): Identifies all relevant files, proposes changes to all of them, lets you review a diff before accepting. This is where Cursor genuinely saves time.
Continue: Can do multi-file chat analysis. Direct multi-file edits require manual application but the analysis is solid.
Task 4: Code review with security focus
This is a chat-heavy task. All three tools can do code review; the quality depends on the underlying model more than the tool itself. Using Claude Opus in any of these tools gives the best security review results.
Who Should Use What
Use GitHub Copilot if:
- Your team uses multiple IDEs (JetBrains + VS Code + Neovim)
- You want something that works without configuration
- Your company has GitHub Enterprise or GitHub Copilot Business
- You primarily want fast inline autocomplete
Use Cursor if:
- You work in large codebases where cross-file context matters
- You do large refactors frequently
- You're comfortable with a VS Code fork
- You want the best out-of-the-box AI editor experience
Use Continue.dev if:
- Privacy or self-hosting is a requirement
- You want to control which AI model you use
- You want to minimize cost (especially for a team)
- You're open to some configuration work
Cost Reality Check
| Scenario | Copilot | Cursor | Continue |
|---|---|---|---|
| Solo developer | $10/month | $20/month | ~$5-15/month (API) |
| 10-person team | $100/month | $200/month | ~$50-100/month |
| Enterprise (100 devs) | $1,900/month (Business) | $2,000/month | ~$500-1000/month |
At scale, Continue's API-based pricing becomes substantially cheaper. At the individual level, Copilot's $10 is the obvious entry point.
The Verdict
For most developers who want the best all-around experience: Cursor is hard to beat. The codebase indexing and Composer multi-file edits represent a genuine step up from Copilot.
For teams embedded in GitHub's ecosystem or using multiple IDEs: Copilot remains the most practical choice.
For privacy-conscious teams or developers who want maximum flexibility: Continue.dev is the right choice, with some willingness to configure.
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