Cursor

Cursor is an AI-powered coding tool built for people who write, review, and ship software. Instead of acting like a simple autocomplete plugin, Cursor works as an agent-first development environment where you can ask AI to understand your codebase, edit files, run tasks, review changes, and help move an idea toward working code. Cursor’s official site describes it as “the best coding agent,” and the company behind it is Anysphere, Inc.

For developers, the big appeal is speed. Cursor can help you move from a vague task like “add a search shortcut” or “fix this bug” to an actual implementation plan, code changes, and reviewable diffs. That makes it useful for solo builders, startup teams, engineering teams, students, and anyone who wants AI help directly inside their coding workflow.

What is Cursor?

Cursor is an AI coding agent and software development workspace. It includes a desktop coding experience, cloud agents, a CLI, code review tools, Tab completions, and a marketplace for plugins. Cursor is not just a chat window beside your code. It is designed to understand project files, use context from your repo, and help with real development tasks.

Cursor’s brand guidelines also make one naming point clear: the product should be called “Cursor,” not “Cursor AI” or “Cursor Code.”

Who created Cursor?

Cursor is developed by Anysphere, Inc. Anysphere describes Cursor as an applied research lab working on the future of programming, with researchers, engineers, and technologists building tools at the edge of what is useful and possible.

Main features of Cursor

Cursor’s core feature is its coding agent. You can ask it to plan, search, edit, build, and explain code. This is especially helpful when you need to work across multiple files, understand an unfamiliar codebase, or turn a feature request into an implementation.

Cursor also includes Tab completions, which suggest code while you type. This is useful for quick edits, repetitive patterns, boilerplate, and small improvements where you do not need a full agent workflow.

Cursor 3 introduced a more agent-focused workspace. According to Cursor, the new interface supports multi-repo work, local and cloud agents, switching between cloud and local sessions, and a workflow for reviewing diffs, staging, committing, and managing pull requests.

Cloud agents let you start coding tasks from places outside the desktop app. Cursor says agents can be started from web, mobile, desktop, Slack, GitHub, and Linear, and cloud agents can produce demos and screenshots so you can verify their work.

Cursor also supports plugins, skills, and MCP. Plugins can extend Cursor with extra capabilities, while MCP can connect external tools and data sources such as GitHub and Figma directly to Cursor.

What can you use Cursor for?

Cursor is useful for writing new features, fixing bugs, refactoring messy code, generating tests, reviewing pull requests, explaining unfamiliar files, updating documentation, and creating small scripts. It can also help teams standardize workflows through rules, skills, plugins, and shared context.

For beginners, Cursor can act like a coding tutor that explains errors and suggests next steps. For experienced developers, it is more valuable as a productivity layer: it can explore a codebase, make multi-file edits, draft tests, and handle repetitive implementation work while you focus on architecture and decisions.

How to use Cursor

Start by downloading Cursor from the official website. The desktop app is available for macOS, Windows, and Linux. Cursor also offers terminal and web-based workflows, so you can use it beyond the main desktop editor.

After installing Cursor, open a project folder or repository. If you already use VS Code-style workflows, the editor should feel familiar, but Cursor adds AI features directly into the development experience.

Next, ask Cursor a clear task. For example, you can say, “Explain how authentication works in this project,” “Add a dark mode toggle,” “Write tests for this component,” or “Find why this API call is failing.” Good prompts usually include the goal, relevant files, expected behavior, and any constraints.

Review Cursor’s plan before accepting major changes. For small edits, Tab completions can help you move quickly. For bigger tasks, use the agent workflow, check the diff, run tests, and review the final code before committing.

If you work with a team, explore Cursor’s team features, cloud agents, code review tools, and integrations. Cursor’s product pages mention workflows across Slack, Microsoft Teams, GitHub, Linear, webhooks, and GitHub Actions.

Cursor pricing

Cursor uses a freemium pricing model. The Hobby plan is free, requires no credit card, and includes limited Agent requests and limited Tab completions. Paid Individual plans start at $20 per month and include extended Agent limits, access to frontier models, MCPs, skills, hooks, cloud agents, and Bugbot on usage-based billing.

Teams plans start at $40 per user per month and add centralized billing and administration, a team marketplace, agentic code reviews with Bugbot, shared team context for cloud agents and automations, usage analytics, team-wide privacy mode, and SAML/OIDC SSO. Enterprise pricing is custom and adds controls such as pooled usage, invoice or PO billing, SCIM seat management, audit logs, repository and model access controls, priority support, and account management.

Cursor also explains that its Pro usage model includes unlimited use of Tab and Auto models, plus a monthly pool of frontier model usage at API pricing, with the option to buy more usage at cost.

Supported platforms

Cursor is available as a desktop app for macOS, Windows, and Linux. The download page also shows a terminal install command for Cursor CLI and a web option for starting cloud agents from a browser or phone.

Integrations

Cursor supports several developer workflow integrations. Its product pages mention Slack, Microsoft Teams, GitHub, Linear, webhooks, GitHub Actions, JetBrains IDE workflows through Cursor CLI, and MCP connections to tools like GitHub and Figma.

Key benefits

The main benefit of Cursor is that it keeps AI close to the code. You do not need to copy files into a separate chatbot and manually paste answers back into your editor. Cursor can use project context, suggest edits, run agent workflows, and help you review the results.

Another benefit is flexibility. You can use quick autocomplete-style help with Tab, deeper agent help for multi-step tasks, cloud agents for longer-running work, CLI workflows for automation, and team features for larger engineering groups.

Is Cursor worth using?

Cursor is worth trying if you write code regularly and want an AI assistant that understands your development workflow. It is especially useful for developers who want help with codebase exploration, feature implementation, debugging, tests, refactoring, and code review.

The free Hobby plan makes it easy to test before paying. For daily coding, the paid plans are more practical because they unlock higher limits and more advanced features. As with any AI coding tool, you should still review changes carefully, run tests, and avoid blindly accepting generated code.

Final verdict

Cursor is one of the most complete AI coding tools for modern software development. It combines an editor, coding agent, autocomplete, cloud agents, code review, CLI, and integrations into one workflow. If your goal is to build and maintain software faster without leaving your coding environment, Cursor is a strong option to consider.