Cursor: The Editor Built Around AI

Actualizado: 2026-05-03

Cursor^[1] appeared in 2023 with a concrete pitch: take VS Code, fork it, and make AI a first-class citizen of the editor rather than a side plugin. The bet is aggressive — a startup competing with Microsoft and OpenAI on their own ground — but the result deserves attention. What follows is an honest read after months of daily use: what it does well, where it loses to Copilot, and when it makes sense to adopt.

What Cursor Is Exactly

Cursor is a VS Code fork with native modifications for AI assistance. Its main capabilities:

• Inline completion: like Copilot, but with access to more powerful models.
• Chat with code: side panel aware of open-file and project context.
• Edit mode: select code, describe the change, AI applies it directly.
• Composer: multi-file editing from a brief, designed for complete features.
• Swappable models: GPT-4, Claude 3 Sonnet or Opus, whichever you prefer.

As a VS Code fork you keep most extensions: Prettier, ESLint, Docker, Remote SSH, Dev Containers. It’s not a new editor with its own ecosystem — it’s the same editor with a more deeply integrated AI layer.

Daily Flow Changes

After a week of use, the mental shift is real. Three patterns become natural:

• “Explain this”: select an unknown function and request explanation. Faster than reading unfamiliar code.
• “Refactor to X”: describe the refactor (extract function, change API, add tests) and it applies. Review diff.
• “Generate from comment”: write an extensive comment and request implementation. Useful for clear boilerplate.

The diff is always yours to approve. No hidden changes. Quality depends hugely on the chosen model: Claude 3 Sonnet performs very well; GPT-3.5 is clearly weaker. For similar flows in generative AI tooling, see mature prompt engineering.

Composer: Where It Really Stands Out

Composer mode is what differentiates Cursor from adding Copilot. You give a multi-file brief (“add JWT authentication to these endpoints, create middleware, update the tests”) and it proposes changes across multiple files with reviewable diffs.

Where it works well:

• Small but multi-file features: add an endpoint, a new page, a shared type.
• Consistent refactors: renaming a concept that appears in many places.
• Guided migrations: “switch from moment.js to date-fns across the project”.

Where it fails:

• Large architectural changes: loses context, invents inconsistent patterns.
• Highly domain-specific code: doesn’t understand implicit business rules.
• Enormous monorepo projects: context simply doesn’t fit.

Discipline matters: well-scoped tasks and critical review of the resulting diff.

Cursor vs Copilot

The two dominant commercial options. Honest comparison:

Practical decision: Cursor if you value advanced workflows and frontier models. Copilot if you value simplicity, stability, and corporate contracts.

Models and Pricing

The Pro plan includes GPT-4 and Claude 3 Sonnet. Claude 3 Opus and longer requests are counted separately (fast-credit system). Options:

• $20/month Pro (GPT-4 included).
• Business plan for teams.
• BYO API key mode: use your own OpenAI/Anthropic account with direct costs.

The BYO API key option is critical for enterprises with centralised AI billing.

Privacy Considerations

Cursor sends context (open files, selections, project) to models. For NDA projects or regulated code:

• Privacy mode: Cursor promises not to retain your data between sessions.
• Local model via proxy: Cursor 0.42+ supports pointing to Ollama or your own API for self-hosted models.
• Legal review before deploying on teams with sensitive proprietary code.

What’s Still Missing

• Team features: centralised management, shared prompts, audit trail. Behind Copilot Enterprise.
• Non-VS-Code IDE support: no version for IntelliJ, RustRover, or others.
• Edge cases in very large files: may suggest changes outside visible context.
• Corporate AI backend integration: connecting a company LLM proxy requires manual configuration.

When to Recommend It

Adopt Cursor if your team already uses VS Code, you value multi-file Composer and frontier models, you can justify per-developer cost, and code privacy isn’t a blocker. Stick with Copilot if your company has an Enterprise contract, your IDE fleet is heterogeneous, or you prefer stability over rapid evolution.

Conclusion

Cursor is the first editor that feels designed to work with AI, not “AI bolted on”. The multi-file Composer experience and chat integration make real daily differences. It has weaknesses — team management, VS Code lock-in, privacy — but its trajectory is solid. For individual developers and small teams, the advantage of project-aware context and native Composer well outweighs the additional monthly cost over basic Copilot.

1. Cursor