How to start with Cursor AI without handing your project to random edits
Original publication: · Sergey Zhadov
This is a translated archive article. The date and pricing discussion refer to the original publication, not a new announcement today.
Cursor AI is a code editor with autocomplete, targeted editing and an agent that can search a project, change files and run commands. It can remove a lot of dull work, but it cannot turn a vague request into good code. Open a giant repository and say fix everything, and the agent will start guessing, touch unrelated files and may create an expensive mess. A sensible start is to make a clean recovery point, check data settings, let indexing finish and give it one bounded task.
Start with a recovery point and a clean state
Before the first request, inspect git status, save the changes you need and separate current work from old junk. A commit or dedicated branch gives you a clear comparison point. Without it, it is hard to tell what the agent changed, what was already there and what can be safely reverted.
Run the existing tests before editing. If they already fail, record that fact separately. Otherwise you may blame Cursor for a breakage that has lived in the project for a month. That confusion can eat more time than writing a couple of functions by hand.
Open the correct project root and let indexing finish
Cursor indexes the open codebase so it can find related files and existing implementations. Open the repository root. If the editor starts inside one nested folder, the agent may miss configuration, tests and shared modules, then build a second version of something that already exists.
Check indexing status in settings. For a first small task, attach the exact files and symbols explicitly. Do not dump the whole project into context just in case. Extra code blurs the goal, increases cost and gives the model more ways to wander off.
Understand privacy before sending code
Cursor's AI features use server-side processing. Privacy Mode changes storage and training guarantees, but it does not turn every request into fully local magic. Before touching corporate or client code, check company policy and the selected setting instead of trusting one reassuring word in the interface.
Add secrets, dumps, keys, private certificates and sensitive folders to .cursorignore. Review that exclusion file and keep it with the project. Do not paste tokens into chat for a quick diagnosis. Hunting for the leak later will be a miserable job.
Choose the feature by the size of the change
Tab suits short continuations and repeated structures. Inline Edit is useful when you have selected one fragment and need to change its behavior. Agent suits a connected task that requires search, several files, commands and tests. The broader the feature, the stricter the boundaries should be.
Do not give an agent a universe-wide variable rename when one selection is enough. Do not build a database migration through ten random autocomplete suggestions either. The right mode reduces unnecessary edits and makes the result easier to review.
Write the task for a developer, not a fortune teller
A good request states the goal, current observable behavior, expected result, constraints and verification method. Say which files may change and which must stay untouched. If a similar implementation exists, point to it inside the project. Concrete context beats a truckload of clever adjectives.
For architectural or data changes, ask for a short plan first. For a small bug, request a minimal diff without side refactoring. The phrase improve the code while you are here often opens the door to improvisation and turns review into an archaeological dig.
Put repeated requirements into project rules
Project Rules can encode architecture constraints, style, verification commands and prohibitions. Keep them short, actionable and scoped to the relevant files. Always use best practices explains nothing. Do not change the public API without a migration can actually be checked.
Store rules in the repository and review them like ordinary code. An outdated rule is worse than no rule because it confidently pushes the agent toward an obsolete design. Remove duplicates and examples that no longer match the project.
Read the diff and run real checks
After Agent finishes, inspect the list of changed files, then read the diff block by block. Look for unnecessary dependencies, swallowed errors, removed validation, changed public contracts and accidental formatting noise. A green response in chat does not mean the project is green.
Run the formatter, linter, type checker and tests that actually cover the change. For a bug fix, add a test that reproduces the problem. If the agent says everything works but no command ran, that is not verification. It is confident chatter.
Bottom line: Cursor accelerates controlled work
Cursor is useful as an editor that understands project context and helps move from search to a tested change. It handles repetitive work, explains unfamiliar code and assembles bounded edits. It does not own your product or carry responsibility for the consequences.
Give it a clean state, the correct project root, narrow context and a verifiable goal. Maintain rules, protect secrets, read the diff and run tests. Then AI speeds development up. Accept everything blindly and that speed becomes high-speed bug production.
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