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Cursor
An AI coding agent that builds, tests, and reviews software across your editor, terminal, and GitHub.
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Free trial
Overview
What It Does
Cursor is an AI coding agent and development environment built for writing and shipping software with the help of large language models. It pairs a desktop editor with a CLI, Slack integration, and GitHub pull request reviews so AI assistance is available at every step of the workflow. Developers can use lightweight Tab completion, targeted edits with Cmd+K, or hand off entire tasks to autonomous agents that build, test, and demo features for review.
Key Features
Cursor offers a specialized Tab model for fast, context-aware autocomplete that predicts the next edit, along with codebase indexing that helps the AI understand large and complex projects. Its agents can work autonomously and in parallel, running in their own cloud environments to complete features end to end. The tool also supports a choice of frontier models from OpenAI, Anthropic, Google Gemini, and xAI, and integrates into terminals, Slack, and GitHub.
Who It Is For
Cursor is aimed at individual developers, startups, and engineering teams that want to accelerate software creation with AI. According to the company, it is trusted by more than half of the Fortune 500 and is used at scale inside large engineering organizations. It suits both solo builders who want better autocomplete and enterprise teams adopting agentic development.
Pricing
Cursor uses a tiered subscription model with a free option for getting started and paid plans for individuals and teams, plus enterprise pricing through its sales team. Exact pricing is not stated in the provided context, so prospective buyers should check the official site for current plan details. Enterprise customers can request a demo or contact sales for volume and security requirements.
Standout Strengths
Cursor's combination of fast autocomplete, deep codebase understanding, and autonomous agents lets developers adjust how much independence to give the AI. Its model flexibility means teams can pick the best frontier model for each task rather than being locked into one provider. Strong adoption among well-known engineering teams reflects real-world traction across professional development workflows.
Pros
- ✓Combines fast autocomplete, codebase-aware chat, and autonomous agents in one tool
- ✓Flexible model choice across OpenAI, Anthropic, Gemini, and xAI
- ✓Integrates across editor, terminal, Slack, and GitHub workflows
- ✓Adjustable autonomy so developers control how much the AI does
- ✓Proven adoption among large engineering teams and Fortune 500 companies
Cons
- ✕Specific pricing is not clearly stated and may change
- ✕Focused on software development, so not relevant outside coding workflows
- ✕Advanced agentic features may have a learning curve for new users
- ✕Reliance on third-party frontier models can affect cost and output quality
Key features
AI Coding Agents
Autonomous agents take on development tasks, building, testing, and demoing features end to end for the developer to review.
Tab Autocomplete
A specialized Tab model predicts the next edit or action with high speed and precision as you type.
Codebase Indexing
Cursor learns how a codebase works at any scale, enabling context-aware answers and edits across complex projects.
Multi-model support
Routes requests across multiple underlying AI models, with more options available on paid plans.
Cloud Agents
Agents run in their own cloud environments and can work in parallel to complete features autonomously.
Workflow Integrations
Cursor runs in the terminal via CLI, collaborates in Slack, and reviews pull requests in GitHub.
Cmd+K Edits
Targeted, instruction-driven edits let developers control how much autonomy to hand to the AI.
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Frequently asked questions
- Cursor is used for writing, editing, and shipping software with AI assistance. It offers autocomplete, codebase-aware chat, and autonomous agents that can build, test, and review features.
- Yes, Cursor offers a free option to get started, with paid subscription plans for individuals and teams and custom enterprise pricing available through its sales team.
- Cursor lets you choose from frontier models by OpenAI, Anthropic, Google Gemini, and xAI, so you can use the best model for each task.
- Yes, Cursor runs in your terminal, collaborates in Slack, and reviews pull requests in GitHub, bringing AI assistance into existing developer workflows.
- Yes, Cursor is used at scale by large organizations and, according to the company, is trusted by more than half of the Fortune 500, with enterprise plans for security and scale.