What is Cursor?
The Harvard Chan AI Glossary
In our classes, we often pause to explain the ideas behind AI and the language used to describe it. These posts grew out of those conversations. They’re for anyone who would like to understand AI better, with no technical background assumed.
Cursor is an AI development environment that combines project work with code editing and agent assistance. Code is the set of instructions a computer executes. The environment gives a person and an AI assistant a place to inspect those instructions, make changes and examine how the program behaves.
An agent can work through a task by selecting actions and responding to results. The underlying model is the trained component interpreting information and proposing those actions. Cursor is the working product around model capabilities, not itself a single model-family name. Available model choices and working features depend on the product’s configuration.
An illustrative task is changing a website so that a form clearly explains missing information. The agent may need to inspect the form, update messages and run the application. The useful result is not simply new code: a person should be able to understand what is missing and recover without losing the information already entered.
A project workspace can supply context, meaning information relevant to the current task, including files and instructions. That does not guarantee that the agent has inspected every relevant file. Ask what it changed and what evidence it used rather than assuming the whole project was understood from the beginning.
Reviewing a change often means looking at a comparison between the earlier and proposed versions. Such a comparison is commonly called a diff. Tests provide a different check by running specified cases. A clear diff can still contain a behavioral error, while passing a narrow test may miss consequences elsewhere.
It helps to distinguish the model, harness and interface. The harness coordinates tools and repeated actions. The interface is what the person uses to direct and review the work. These layers influence the result alongside the selected model.
Choosing an environment therefore involves more than comparing a demonstration of generated code. Consider whether you can understand progress, inspect changes, correct mistakes and recover earlier work. Cursor belongs to the category of AI-assisted development environments; its suitability depends on how well the configured workspace supports the actual project.
Source: Cursor — Official Documentation.
If you would like to find out more about AI and improve your leadership skills, consider the AI in Health Care Certificate of Specialization from the Advanced Learning Academy at Harvard T.H. Chan School of Public Health. You can take an individual course or work toward the full certificate.
AI is a fast-moving field. This explanation reflects our class discussions and related material at the time of writing. Terminology, capabilities and tools may change.
For suggested additions or corrections, please email me at tpanch@hsph.harvard.edu.
Dr. Trishan Panch
Program Director, AI in Health Care
Harvard T.H. Chan School of Public Health — Advanced Learning Academy