The Best Way to Work with Cursor Is to Slow Down First

Working with Cursor can feel a little like having a whole engineering team sitting next to you. You can ask it to explore a codebase, write a feature, create tests, fix bugs, and connect different parts of an application. It can even break larger tasks into agents, subagents, and workers when that makes sense. That is a big shift.

You no longer have to manage every step of the process or decide exactly which agent should do what. Cursor can handle much of that coordination on its own. But there is an important catch: you still need to know what you are trying to build.

Rules Matter, but They Will Change
Cursor rules are important. They give the model context about how you want the project to work. Rules can cover things like coding style, architecture, testing, security, naming conventions, and how different parts of the application should be organized.
But I do not think rules should be treated as something you write once and then forget about.

Rules are Iterative
As you work with Cursor, you will notice patterns. Maybe it keeps making the same wrong assumption. Maybe it keeps adding unnecessary abstractions. Maybe the project changes direction and an old rule no longer makes sense. That is part of the process.

Your rules should evolve as you learn more about the project and how the model works within it. When Cursor gets something wrong repeatedly, that may be a sign that your instructions need to be clearer. When a rule creates more complexity than it prevents, it may be time to simplify or remove it. The goal is not to create a giant rulebook. The goal is to give Cursor useful guidance and improve that guidance over time.

The Model(s) Can Handle More of the Orchestration
One of the most interesting parts of working with Cursor is watching the model decide how to approach a problem. For larger tasks, it may create agents or workers to investigate different parts of the codebase. It can look at dependencies, trace how data moves through the system, implement changes, run tests, and respond to errors. That used to be something you had to coordinate manually. You had to decide how to break up the work, which tasks could happen in parallel, and which process should happen first. Now, the model can take on more of that burden. That does not make you less important. It changes what you need to focus on.

Instead of micromanaging every action, you can spend more time setting direction, defining constraints, and deciding what matters.
Planning Is More Important Than the Bells and Whistles
It is easy to get distracted by everything Cursor can do. New models, agent modes, integrations, background tasks, and automation features are exciting. But none of those things can make up for an unclear idea or a poorly planned project.

Before asking Cursor to build something, I think it is worth slowing down and answering a few basic questions:

• What problem are you solving?
• Who is going to use this?
• What should the first version actually do?
• What should it not do?
• What are the major parts of the system?
• Where does the data come from and where does it go?
• What are the security and business requirements?
• How will you know if it works?

Sometimes a quick sketch is more useful than a sophisticated prompt. Draw the user flow. Draw the frontend, backend, database, and external services. Show how information moves between them. Even a rough diagram can give Cursor a much clearer understanding of the project than a long description full of vague requirements. The best prompt is often created before the prompt is written.

Let Cursor Handle the Plumbing, But Within Reason
A lot of backend work can now be handled by Cursor. It can create routes, connect services, update types, write tests, wire components together, and fix implementation details. If the overall design is sound, Cursor can take care of much of the plumbing. But that does not mean you should stop thinking about the backend.

The important questions are still yours to answer:
Does the design meet the business requirements? Is sensitive data protected? Are permissions correct? Is the authentication approach appropriate? Are there regulatory or operational concerns? Can the system be monitored and maintained?

If you have made those decisions, Cursor can handle a lot of the implementation. The model can build the pipes. You still need to decide where the pipes should go, what they should carry, and who should be allowed to access them.

Think It Through, Then Use AI
The most important skill when working with Cursor is not writing the perfect prompt. It is understanding what you want to build. Do not rush straight into code generation. Think through the workflow. Draw the system. Identify the risks. Define the smallest useful version. Decide what success looks like. Then use AI to help build it. Cursor is very good at turning a clear plan into working software. It is much less reliable when it has to invent the plan while also implementing it.

The future of development may involve less typing, less manual orchestration, and less time spent on backend plumbing. But it will not require less judgment. If anything, judgment becomes more important.

You will get the most from Cursor when you take the time to understand what you are building, and then give the AI a clear direction.

To learn more visit www.AlexYampolsky.com