Cursor

Cursor is an AI coding environment with an agent that can search a project, edit files and run terminal commands. It brings questions about existing code and proposed changes into the development workflow, rather than making you move every relevant file into a separate chat.

Editorial assessment of the documented product. This review does not include personal testing notes or benchmark results.

I'd start with a small change in a repository I already understand: add a missing validation check, explain a confusing module, or update a component and its tests. That gives you a useful way to judge the agent's choices before handing it a larger feature.

The part I like is having the conversation, the files and the proposed diff close together. You can ask why a change is needed and check what it touches. Clear instructions still matter. Spell out the behavior you want and the boundaries it should preserve; a vague request leaves a lot of product decisions to the model.

My hesitation is the temptation to approve a large diff because the explanation sounds convincing. I'd keep changes reviewable, run the relevant checks, and pay attention to model usage. For a workplace repository, check the privacy settings and your team's rules before sending code to an AI service.