AI coding has fundamentally changed software engineering. While past generations of code editors used artificial intelligence to simply autocomplete lines of code, newer tools have built the entire experience around agentic workflows, handling the entire development process from end to end.
At the head of this revolution is Cursor, a San Francisco-based company that has baked AI into its core architecture rather than bolting it onto features in the sidebar. Cursor says its tech is used by teams at Stripe, OpenAI, Datadog and Nvidia, whose CEO Jensen Huang said it is his favorite enterprise AI service.
What Is Cursor?
Cursor is an AI-native code editor that uses agents and natural-language prompts to generate, edit and debug code. It combines autocomplete, codebase awareness and task automation in a single workspace, helping developers build software faster with less manual effort.
Cursor has ushered in a philosophical shift in software development that has allowed coders to focus less on actually writing code and more on directing AI agents to execute their vision. By allowing developers to manage these agents in plain language, Cursor inspired AI researcher Andrej Karpathy to coin the term “vibe coding,” an approach that sees coders “fully give in to the vibes, embrace exponentials and forget that the code even exists.” Since then, AI labs Anthropic and OpenAI have launched their own AI coding tools, Claude Code and Codex, respectively, which have gained millions of weekly active users.
While Anthropic and OpenAI have spent billions of dollars developing AI models, Cursor — a relatively small startup — took a different approach with its Composer 2 model, building it on top of an open-source system from China-based Moonshot AI. The company also licenses models from OpenAI, Anthropic and Google, but says it ultimately plans to develop its own foundation models.
To do so, Cursor has partnered with Elon Musk’s aerospace company SpaceX and its AI subsidiary, xAI. Cursor says it has been “bottlenecked by compute,” and hopes xAI’s supercomputer Colossus will provide the computing power needed to develop its own models. SpaceX, meanwhile, says the collaboration will help create “the world’s best coding and knowledge work AI,” signaling that Musk may want to break into the AI coding market himself— a move that could help win over investors in anticipation of the company’s potential IPO later this year. SpaceX is also moving to acquire Cursor outright for $60 billion, or pay the company $10 billion for their work together.
So, what exactly is Cursor? What sort of work is it best at? How does it stack up against other tools in this space? Let’s dive in.
What Is Cursor Used For?
Cursor is designed to accelerate everyday software development tasks. People can use it to generate code with natural language prompts, refactor existing codebases and debug their code. Cursor also understands the broader context of a codebase, which makes it useful for coordinating changes across multiple files.
Because Cursor lowers barriers to development, users can quickly spin up prototypes and iterate on concepts, which is conducive to experimentation and creativity. And Cursor’s conversational design empowers novice coders, or even people with no coding experience, to take on projects previously beyond their abilities.
Key Features of Cursor
Cursor’s key features include:
- Agent: Cursor’s agentic capabilities can automate actions across multiple surfacing using the system-wide rules you set.
- Autocomplete: Cursor’s Tab feature doesn’t just autocomplete a line of code; It suggests changes across multiple lines and files.
- Natural Language Code Editing: Cursor allows users to “vibe code” with natural language prompts.
- Codebase Indexing: By learning a user’s codebase, Cursor can generate code with context. It also allows users to search and ask questions about their code.
- Code Review: Cursor’s Bugbot feature automatically identifies coding errors and adapts to the user’s rules and best practices.
- Terminal Integration: Cursor’s command-line interface tool allows users to run commands and scripts within the editing environment.
Who Should Use Cursor?
Cursor is best suited for developers who want to integrate artificial intelligence deeply into their workflow. Because Cursor’s agentic layer can index codebases and automate actions across numerous files, it may be especially beneficial for developers working on large or complex codebases.
Cursor vs. Other AI Coding Tools
Cursor and other AI coding tools have similar features, like vibe coding with natural language prompts, but there are subtle differences that shape how each one is used.
Cursor vs. Claude Code
While Cursor is essentially an integrated development environment (IDE) where developers write code, Claude Code lives in the terminal. That means it can handle higher-level tasks without getting too far into the weeds. Claude Code’s 1-million-token context also gives it deep reasoning capabilities, which is useful for refactoring or debugging a large codebase.
Cursor vs. Codex
OpenAI’s Codex recently differentiated itself from Cursor by enabling agents to click on apps, launch apps and type into apps on a user’s computer — all in the background without seizing control from the user. This can help developers iterate on front-end changes, test apps or work on apps that don’t expose an API.
Cursor vs. GitHub Copilot
Unlike Cursor, which is an AI-native coding environment, GitHub Copilot is an extension that plugs into numerous IDEs. Owned by Microsoft, Copilot is most popular in large organizations, as it offers enterprise-level security, integration with GitHub project management tools and the ability to incorporate AI-powered coding functionality into an organization’s existing IDE.
How Cursor Differs From Traditional IDEs
IDEs like Visual Studio Code are interfaces where developers can write code with the assistance of features such as auto-code completion suggestions, debugging tools and syntax highlighting, which categorizes code with different colors and fonts to make it easier to understand.
Cursor is built on VS Code’s foundation, and takes a giant leap further, adding an agentic AI tool that can write code, delegate tasks to an AI agent and run terminal commands. VS Code users can keep their extensions and shortcuts while integrating AI into every step of the development workflow.
Benefits of Using Cursor
Using Cursor can be beneficial for a variety of reasons. Here are some of the main ones.
Cursor Offers Productivity Gains
Cursor accelerates development by generating code, debugging issues and automating repetitive tasks, allowing developers to focus on higher-level problem-solving. In practice, teams can ship faster. One study found engineers merged 39 percent more pull requests after adopting Cursor.
Cursor Helps Reduce Context Switching
By combining prompting, editing and execution in a single interface, Cursor eliminates the need to bounce between multiple tools. This streamlined workflow helps developers stay focused and maintain momentum throughout the development process.
Cursor Enables Faster Iteration and Experimentation
Cursor makes it easy to prototype ideas and refine them quickly using natural language prompts and agent-driven edits. This lowers the barrier to testing new concepts, enabling both experienced developers and newcomers to iterate more freely.
Limitations and Considerations of Cursor
Cursor may be a powerful coding tool, but it also comes with some limitations to consider. These are some of its primary drawbacks.
Cursor Is Expensive
Cursor is not cheap. The functionalities on the free tier are limited, so most users will need to subscribe to the Pro plan, which costs $20 per month for access to frontier models, additional agent requests and other features. Users may also exceed the request limits on the Pro plan, so Cursor recommends the $60-per-month Pro+ plan, which provides three times more usage on all GPT, Claude and Gemini models. Business customers must pay $40 per user per month, putting Cursor on the pricier end of AI coding tools.
Cursor Makes Mistakes
Like other AI coding tools, Cursor can make mistakes — whether that be subtle logic errors or inefficient code. Therefore, users should carefully review and test all of its outputs, especially in projects where reliability matters. Cursor’s code quality can also be inconsistent when faced with more complex tasks or less common frameworks.
Cursor Presents Data Privacy Concerns
There are also data privacy considerations. Depending on how it’s configured, Cursor will send snippets of code or context to external models for processing, which may be a security issue for teams working with proprietary or highly sensitive codebases. While Cursor’s Business plan comes with more controls, developers should fully understand what information is being shared and how it is handled while using the tool.
Frequently Asked Questions
Can Cursor see your entire codebase?
Yes. Cursor can index and analyze your full codebase to provide context-aware suggestions and multi-file edits.
Is Cursor safe to use with private code?
Generally yes, but it depends on settings and provider policies. Sensitive code may be processed by third-party models, so teams should review privacy controls and data usage terms.
Is Cursor free?
Cursor offers a free tier with limited capabilities. A paid subscription is required to access Cursor’s full functionality.
