Cursor is an AI-assisted coding environment for working with a software project: asking questions about files, proposing edits, and using agents to carry out development tasks. Its desktop editor is available for macOS, Windows and Linux. It also has cloud-agent workflows, whose execution and data handling differ from working in the desktop editor.
Originally published March 31, 2025. Updated October 15, 2026. This review is based on current official documentation and public pricing pages. We did not install Cursor, connect a repository, or run an end-to-end coding test for this revision.
Official Cursor horizontal logo from the Cursor brand resources, retrieved October 15, 2026. Used for product identification; this is a supplied brand asset, not a screenshot or a GPTOnline test result.
What can Cursor help with?
Cursor’s Agent documentation describes file search, file editing, terminal commands and other tools. These capabilities can support a focused change across several files, an explanation of an unfamiliar module, or a first draft of tests. They do not establish that the resulting code is correct or ready to deploy.
For smaller edits, Tab completion offers suggestions while you work. Treat a suggestion as something to inspect, rather than proof that the tool understands every requirement or dependency. Check the current feature and model availability for the plan you are considering.
A practical first task: check an input validator
The following is an original hypothetical exercise, not a measured Cursor result. Use a small practice repository without credentials or customer information. Suppose a function accepts a quantity and should reject values that are negative, fractional, empty or not numeric.
- Describe the contract: State which inputs are valid, what invalid inputs should return, and which existing callers must keep working.
- Start with inspection: Ask the assistant to locate the validator and its tests, then explain the current behavior before changing files.
- Request a bounded change: Ask for tests covering zero, a positive integer, a negative number, a fraction, an empty string and an unrelated string. Specify that it should avoid adding dependencies.
- Inspect the diff: Confirm that the change is limited to the intended files. Watch for silently converting invalid strings or changing how errors reach callers.
- Run the checks yourself: Review the test assertions, execute the relevant suite, and inspect any failure. A green result is useful only if the tests check the contract you intended.
Keep a version-control checkpoint before experimentation. Record the accepted behavior and review effort, rather than judging the tool only by how quickly it produces a large patch. Our guide to interpreting AI benchmarks explains why a published score cannot substitute for checking your actual workflow.
Privacy Mode does not make AI processing local-only
Cursor’s Data Use overview, updated September 3, 2026, distinguishes training restrictions from processing and storage. With Privacy Mode enabled, customer data is not used for training. Requests still pass through Cursor’s backend, including when you provide your own API key, and encrypted file contents may be cached temporarily. The policy also describes abuse-investigation retention exceptions and models outside its standard zero-data-retention arrangements.
The privacy help page says users supplying their own API keys should check the model provider’s policy: Cursor’s zero-data-retention agreements do not apply to that usage. Review the actual workflow and your organization’s rules before opening confidential code or connecting external services.
Cloud Agent documentation describes separate remote storage for code and environments. Conversation history is retained indefinitely by default; environment snapshots expire after 30 days of inactivity, with reuse renewing that window. Do not interpret Privacy Mode as a guarantee that a cloud task stores nothing remotely.
Review agent permissions as well as code
Execution permissions depend on the selected Run Mode. Auto-review combines safeguards such as allowlists, supported sandboxing and classifier checks, but automated review can make mistakes. Review the permissions you are granting instead of assuming every command will always stop for a manual approval.
Cursor’s ignore-file documentation also warns that .cursorignore does not prevent file access through terminal or MCP tools. Keep secrets out of practice projects and assess external integrations separately. Generated code, explanations and tool actions still need human review.
Current plans and usage limits
On October 15, 2026, the live official pricing page listed Free, Plus, Premium, Super and Ultra, alongside Teams and custom Enterprise options. This differs from older Pro-plan descriptions still found in some indexed documentation.
The current page describes a shared Cursor/Grok usage pool that refreshes weekly. Free usage is limited; Plus is restricted to Grok models. Premium and higher tiers allow third-party models, but their usage is charged separately rather than included in the subscription allowance. This is not an unlimited-all-models offer.
Check the current price, currency, taxes, billing terms and usage controls before subscribing. We have not reproduced numeric prices because the observed page used a dollar symbol without an explicit currency label. The page excludes applicable taxes and fees and says cancellation must occur at least 24 hours before renewal to avoid another charge. Existing-account or regional conditions may differ.
Who should evaluate it?
Cursor is worth evaluating when you already have a project you can inspect and test, and want assistance with a specific coding task. It is less suitable as a substitute for understanding what you are deploying or for an unreviewed workflow involving sensitive repositories. Choose a small, representative task, compare the accepted result with your normal process, and include debugging and review time in that comparison.
Use the official download page for the appropriate desktop build. The presence of desktop downloads should not be described as “no app,” and availability alone does not establish compatibility with every extension or project.
