Cursor�s Agent lets you delegate end-to-end coding tasks, from implementing features to fixing bugs, using natural language. It plans, edits, and applies changes across files and branches.
Cursor indexes your repository into embeddings so agents can navigate and reason over large codebases. It retrieves relevant files and symbols when answering questions or editing code.
Inline Tab completion predicts your next line and even entire blocks based on the surrounding context and model choice. It works across many languages and frameworks.
You can select regions of code or open the terminal, describe the change in natural language, and let Cursor generate edits or shell commands for you.
Cursor supports multiple frontier models and a privacy mode that enforces zero data retention with model providers when enabled.
Developers describe new features in plain language and let Cursor�s Agent scaffold code, tests, and wiring. Human review focuses on correctness and product fit rather than boilerplate.
Cursor�s codebase embeddings, scoped edits, and multi-line suggestions make it easier to modernize large legacy systems incrementally while preserving behavior.
Bugbot analyzes GitHub pull requests, flags potential issues, and suggests fixes. It complements human reviewers by catching AI-introduced and subtle logic errors.
Organizations enable privacy mode, SSO, SCIM, and audit logs to adopt AI coding at scale while complying with internal security and privacy requirements.
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