Cursor

Cursor is most useful when a task involves a real repository and the result must survive review. Its Agent can search the codebase, inspect files, coordinate edits, run terminal commands, check browser output, request missing context, and leave a diff for a developer to examine. This works well for refactors, bug fixes, unfamiliar code paths, test changes, migrations, and routine pull request work. Cursor requires more commitment than an add-on for an existing editor. Its workflow depends on the Cursor editor and account system, repository indexing, model routing, rules, MCP integrations, and optional Cloud Agents. For an individual, the practical question is whether the time saved covers the subscription and model usage. Team adoption also depends on Privacy Mode, SSO, SCIM, audit logs, repository and model controls, MCP governance, Cloud Agent policy, usage reporting, and the quality of the existing review process. Cursor is a weaker choice for occasional autocomplete, fully offline work, policies that keep all code context on local machines, or teams committed to JetBrains or stock VS Code. It is a stronger fit when engineers retain responsibility for architecture, tests, and review while an agent handles bounded implementation tasks. Trials on representative repositories reveal indexing boundaries, model access, command permissions, Cloud Agent storage behavior, and the share of generated changes that pass normal review. Those accepted changes are a better measure than raw code volume. Agent output still goes through the usual testing, security, and ownership process. A representative trial should also record setup time, accepted diffs, review effort, failed runs, and model or cloud charges. This makes the tradeoff visible: Cursor can shorten bounded implementation work, but the editor change, usage costs, permissions, and review burden remain part of the adoption decision. Working in an existing repository? Use [Aider vs Cursor for Git-controlled work](/en/articles/aider-vs-cursor-git-controlled-repository) to compare context selection, dirty-worktree handling, diff review, commits, and recovery.