Summary
Cursor is an AI-powered code editor that integrates large language models directly into the development environment. Beyond inline code completion and chat, it has evolved toward agentic and multi-agent workflows, where it can plan a task, edit across files, and run work with varying degrees of autonomy.
What is Cursor?
Cursor started as an editor (built on a VS Code foundation) with deep LLM integration: developers can ask questions about the codebase, request edits in natural language, and accept AI-generated changes in context. Project-level rule files let teams steer the assistant's behaviour, and rules can activate automatically based on which files are being touched.
More recent versions push toward multi-agent orchestration, where a planning layer decomposes work and coordinates worker agents. Cursor is one of the prominent examples of the shift from "autocomplete" to agentic coding, alongside tools like Claude Code and GitHub Copilot. As with any AI coding tool, results depend heavily on how the surrounding context, rules, and review steps are set up—the engineering of the harness matters as much as the model.
Why is Cursor relevant?
- AI-native editor: Embeds LLMs into editing, navigation, and refactoring in context
- Agentic direction: Moving from completion toward planning and multi-agent task execution
- Steerable: Project rules shape behaviour, activating automatically by file context
- Representative tool: Illustrates how AI-first development environments work and where the category is heading