# Cursor

> AI-first IDE, multi-file agent edits

Source: https://aistack.sh/tool/cursor
Category: AI IDEs
Site: https://cursor.com
Status: active
Last verified by a human: 2026-05-05

VS Code fork with inline AI, agent mode for multi-file changes, and a built-in Bugbot reviewer. The default if you want the AI inside the editor instead of in a terminal or chat tab.

## Pricing

As published on the tool page: Free Hobby · $20/mo Pro · $60/mo Pro+ · $200/mo Ultra · $40/seat Teams · $120/seat Teams Premium

Read from https://cursor.com/pricing on 2026-09-14:

- Hobby: $0 per month
- Pro: $20 per month
- Pro+: $60 per month
- Ultra: $200 per month
- Individual: $20 per month
- Teams: $40 per month
- Enterprise: custom / contact per month
- Teams Standard: $40 per month
- Teams Premium: custom / contact per month

## Alternatives

- Claude Code — https://aistack.sh/tool/claude-code
- Codex — https://aistack.sh/tool/codex

## Head-to-head comparisons

- [Antigravity vs Cursor](https://aistack.sh/compare/antigravity-vs-cursor) (markdown: https://aistack.sh/compare/antigravity-vs-cursor/llms.txt)
- [Claude Code vs Cursor](https://aistack.sh/compare/claude-code-vs-cursor) (markdown: https://aistack.sh/compare/claude-code-vs-cursor/llms.txt)
- [Codex vs Cursor](https://aistack.sh/compare/codex-vs-cursor) (markdown: https://aistack.sh/compare/codex-vs-cursor/llms.txt)
- [Cursor vs GitHub Copilot](https://aistack.sh/compare/cursor-vs-github-copilot) (markdown: https://aistack.sh/compare/cursor-vs-github-copilot/llms.txt)
- [Cursor vs Lovable](https://aistack.sh/compare/cursor-vs-lovable) (markdown: https://aistack.sh/compare/cursor-vs-lovable/llms.txt)
- [Cursor vs Replit](https://aistack.sh/compare/cursor-vs-replit) (markdown: https://aistack.sh/compare/cursor-vs-replit/llms.txt)
- [Cursor vs Windsurf](https://aistack.sh/compare/cursor-vs-windsurf) (markdown: https://aistack.sh/compare/cursor-vs-windsurf/llms.txt)

## Used in 6 tested stacks

- [UI-first with v0](https://aistack.sh/stack/ai-app-builder-v0) — Backend glue, $60/mo
- [Android app with AI](https://aistack.sh/stack/android-app-with-ai) — Kotlin / Compose editing, $42/mo
- [iOS + Android with Expo](https://aistack.sh/stack/cross-platform-mobile) — TypeScript + React Native editing, $67/mo
- [Cursor rules](https://aistack.sh/stack/cursor-rules) — The editor, $50/mo
- [iOS app with AI](https://aistack.sh/stack/ios-app-with-ai) — Swift / SwiftUI editing, $48/mo
- [Cursor (IDE-first)](https://aistack.sh/stack/ship-code-cursor) — Plan + write + review, $20/mo

## Recent changes

- **Cursor launches Projects to coordinate large bodies of work with subagent delegation** (2026-09-10, feature) — Projects enables managing feature development, migrations, and full apps with a coordinator agent that plans work, delegates to subagents, and maintains context over months. The coordinator runs agents in parallel and can watch Slack channels or run on schedules to automatically pick up work without explicit prompting. Source: https://cursor.com/changelog
- **Cursor launches Projects for coordinating multi-month work across thousands of subagents** (2026-09-10, feature) — Projects maintain context over months of work, with a coordinator agent that plans work and delegates to subagents running in parallel. Projects can watch Slack channels or run on schedules to take action without being prompted, keeping shared context across all agents involved. Source: https://cursor.com/changelog
- **Cursor launches Projects for coordinating large bodies of work with multiple subagents** (2026-09-10, feature) — Projects is a new feature that maintains context over months of work and delegates tasks to thousands of subagents. A coordinator agent plans the work and delegates to implementation agents that run in parallel. Projects can watch Slack channels, follow PRs, or run on a schedule to take action automatically without prompting. Source: https://cursor.com/changelog
- **Cursor adds self-hosted machine support with dynamic pool scheduling and computer use** (2026-09-02, feature) — Cloud agents can now execute on internal infrastructure, keeping codebases and secrets on-premise. Features include dynamic pool scaling that grows with demand and hibernates idle workers, plus computer use (clicks, typing, screenshots) on Linux and Mac self-hosted workers. Source: https://cursor.com/changelog
- **Cursor adds self-hosted machines with dynamic pool scheduling and multi-platform computer use** (2026-09-02, feature) — Cursor now supports self-hosted machines that keep tool execution entirely in your infrastructure. Features include dynamic pool scheduling for teams with auto-scaling capacity, execution on existing platforms (AWS Lambda, Coder, Cloudflare, Modal, etc.), and computer use support on Linux and Mac for browser automation and desktop interaction. Source: https://cursor.com/changelog
- **Cursor adds self-hosted machines for cloud agents** (2026-09-02, feature) — Cursor now supports running cloud agents on self-hosted infrastructure including AWS Lambda, Coder, Cloudflare, and others, keeping your code and secrets on internal machines. The platform includes dynamic pool scheduling for teams and computer use on Linux and Mac through self-hosted workers. Source: https://cursor.com/changelog
- **Cursor adds support for self-hosted machines with dynamic pool scheduling and computer use on Linux and Mac** (2026-09-02, feature) — Self-hosted machines keep tool execution in your own network with infrastructure like AWS Lambda, Cloudflare, and Modal. Dynamic pool scheduling lets team pools scale capacity with demand and hibernate idle machines. Agents can now use computer use (clicking, typing, screenshots) on Linux and Mac. Source: https://cursor.com/changelog
- **Cursor adds self-hosted machine support for on-premises tool execution** (2026-09-02, feature) — Cursor now supports self-hosted machines that keep tool execution entirely within your own network infrastructure. Features include dynamic pool scheduling for team workloads that scale with demand, support for various sandbox platforms (AWS Lambda, Coder, Cloudflare, etc.), and computer use on Linux and Mac for local desktop automation. Source: https://cursor.com/changelog
- **Cursor Cloud Agents support self-hosted execution and dynamic pool scheduling** (2026-09-02, feature) — Cloud agents can now run on your own infrastructure including AWS Lambda, Vercel, and other platforms, keeping code and secrets on internal machines. Dynamic pool scheduling scales capacity automatically based on demand and supports computer use on Linux and Mac. Source: https://cursor.com/changelog
- **Cursor adds self-hosted machines support for keeping code execution in your own infrastructure** (2026-09-02, feature) — Self-hosted workers can run cloud agent tool calls locally, keeping your codebase and secrets on internal machines. Features include dynamic pool scheduling for teams, support for AWS Lambda and other infrastructure providers, and computer use on Linux and Mac. Source: https://cursor.com/changelog

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From aistack.sh. Last updated 2026-09-13.
