Cursor (Anysphere)

The leading agentic AI code editor, built on VS Code.

Cursor, built by Anysphere, is an AI-powered code editor built on top of VS Code that has become one of the most widely adopted agentic coding tools, reportedly reaching $500 million in annual recurring revenue and a $29 billion valuation. It provides deep codebase context awareness and autonomous multi-file editing capabilities, allowing the AI to understand and make coordinated changes across a project rather than operating on a single file in isolation. Cursor combines proprietary models with access to leading third-party models including Claude, GPT-4, and Gemini, giving developers flexibility in model choice while benefiting from Cursor’s own optimizations. The platform has been adopted by major technology companies including OpenAI, Stripe, Shopify, and Replicate, reflecting strong traction even among technically sophisticated organizations that could build their own tooling. Cursor differentiates through the depth of its codebase understanding, the maturity of its agentic editing capabilities, and the network effects of being the de facto standard agentic IDE for many development teams.

Compliance

GDPR SOC 2

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Key Features

Deep codebase context: Understands the structure and content of an entire codebase, enabling AI suggestions and edits that are consistent with existing patterns and architecture rather than operating with only the open file as context.
Autonomous multi-file editing: Capable of making coordinated changes across multiple files in a single agentic operation, handling tasks that require understanding relationships between different parts of a codebase.
VS Code foundation: Built on top of VS Code, giving developers a familiar editor experience and access to the broader VS Code extension ecosystem alongside Cursor’s AI capabilities.
Multi-model access: Provides access to multiple leading models including Claude, GPT-4, and Gemini, alongside Cursor’s own proprietary models, letting developers choose the model best suited to a given task.
Agentic task execution: Supports agentic workflows where the AI can plan and execute multi-step coding tasks with reduced need for step-by-step human guidance.
Broad enterprise adoption: Used by major technology companies including OpenAI, Stripe, Shopify, and Replicate, reflecting validation at a high level of technical sophistication.

Use Cases

For individual developers wanting deep AI assistance in their editor: A developer working on a complex codebase uses Cursor to get AI suggestions and edits that understand the full context of their project, rather than working with an assistant limited to single-file context.
For engineering teams adopting agentic coding workflows: A technology company standardizes on Cursor across its engineering organization to give developers consistent access to advanced agentic coding capabilities, including multi-file autonomous editing.
For organizations wanting flexibility in model choice: A company wants the option to use different AI models for different coding tasks based on cost or capability uses Cursor’s multi-model support to switch between Claude, GPT-4, Gemini, and Cursor’s own models as needed.