Cursor is a VS Code fork that rebuilds the editor around AI rather than bolting it on as a plugin. Tab completions, multi file editing through Composer mode, and an agent that can plan and execute changes across your codebase all ship as native features. The editor indexes your entire project so suggestions reflect your actual architecture, imports, and naming conventions rather than generic patterns.
Composer mode is where Cursor separates from other IDE tools. You describe a feature or change in natural language, and the agent plans edits across multiple files, shows you a diff, and applies the changes in one action. The February 2026 parallel agents update raised this further: you can now run up to eight agents simultaneously on separate parts of a codebase using git worktrees, which turns large refactoring sessions from sequential work into parallel execution.
The billing model shifted in June 2025 from a simple “500 fast requests per month” system to usage based credits tied to API costs. Pro still costs $20 per month, but that $20 translates to a credit pool that depletes at different rates depending on which model you select. Claude Sonnet requests burn credits roughly twice as fast as Gemini requests. Community backlash was significant enough that Cursor issued a public apology and offered refunds during the transition. The product is excellent. The billing mechanics require active monitoring.
Cursor crossed $2 billion in annualized revenue in early 2026 with a $29.3 billion valuation, making it the fastest growing AI coding tool by revenue. Stripe, OpenAI, Figma, and Adobe use it as a daily development tool. Auto mode (which selects the most cost efficient model automatically) provides unlimited usage on paid plans without touching your credit pool, which is the right default for most developers who do not need to manually select premium models.
The structural limitation is scope. Cursor operates at the editor layer. It makes you faster inside the IDE. It does not connect to your project management system, read your ticket descriptions, or understand the business intent behind a task. If your bottleneck is in editor productivity, Cursor is the category leader. If your bottleneck is the gap between a ticket and a deployed feature, you need a workflow layer tool like Codegen or an autonomous agent like Claude Code.