VS Code vs Cursor
VS Code and Cursor share the same editing engine, since Cursor is a fork of VS Code. The core difference is how AI features are delivered and priced. Cursor builds proprietary AI tooling on top of the VS Code base and charges a monthly subscription for Pro-tier access. VS Code ships AI agent features through GitHub Copilot and third-party provider integrations, with no additional editor cost beyond whatever you pay your model provider directly.
| Feature | VS Code | Cursor |
|---|
| License | MIT (Code-OSS source) | Proprietary |
| AI pricing | Provider API cost only | Subscription required |
| Model selection | Copilot, Claude, OpenAI, custom key | Vendor-managed set |
| Multi-agent support | Built-in, any provider | Yes, proprietary |
| Extension ecosystem | Full VS Code marketplace | Fork-based |
VS Code is the stronger choice when you want to control model selection, avoid a mandatory subscription, or need the full extension marketplace without fork compatibility concerns. Cursor's advantage is a more polished, opinionated AI coding experience with less initial configuration. Developers who want an immediately productive AI editing environment and are comfortable paying a monthly subscription may prefer it.
VS Code vs Windsurf
Windsurf is another AI code editor positioned around agentic coding, built on a VS Code fork with a proprietary AI layer and subscription pricing. Like Cursor, it targets developers who want AI to handle large-scale code changes autonomously.
| Feature | VS Code | Windsurf |
|---|
| License | MIT (Code-OSS source) | Proprietary |
| AI pricing | Provider API cost only | Subscription-based |
| Agent workflows | Built-in multi-agent sessions | Proprietary agent |
| Extension ecosystem | Full VS Code marketplace | Fork-based subset |
| Model selection | User-configured | Vendor-managed |
VS Code is the better fit for teams that need long-term extension ecosystem stability or need to direct AI workloads to a specific provider or self-hosted endpoint. Both Cursor and Windsurf trade control over model selection and extension compatibility for a more immediately ready AI editing experience. Teams that have already invested in VS Code extensions and workflows face no migration cost with VS Code; switching to either paid editor requires evaluating which extensions remain available in the fork.