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…
Working with Cursor can feel like having an entire engineering team by your side. You can ask this AI to explore code, write features, create tests, fix bugs, and connect various parts of an application. It even has the capability to break large tasks into multiple agents, sub-agents, and workers when needed. This significant shift means you no longer have to manage every aspect of the process or decide which agent should perform which task. However, there's an important caveat: you must still understand precisely what you aim to build.
Rules are crucial as they provide context about your project's needs - from coding styles to security measures, naming conventions, and how different sections of the application should be organized. But, rules shouldn't be set in stone. They should evolve as you gain more insights into the project and Cursor's performance within it. If Cursor repeatedly makes incorrect assumptions or a rule introduces more complexity than it prevents, it might be time to refine your instructions or simplify the rule.
One of the most intriguing aspects of working with Cursor is observing the model's approach to problem-solving. For extensive tasks, it can autonomously create agents or workers to investigate various codebase sections. It can analyze dependencies, trace data flow, implement changes, run tests, and respond to errors. This once manual process is now assisted by the model, allowing you to focus more on setting direction, defining constraints, and determining what truly matters.
While Cursor's capabilities are impressive - from new models and agent modes to integrations and background tasks - don't overlook the importance of a solid plan. It's tempting to be dazzled by these features, but without a clear problem statement, user requirements, and a defined scope, even the most advanced AI cannot deliver a successful outcome.
Take time to answer key questions: What problem are you solving? Who will use this? What should the initial version accomplish? What must it not do? What are the project's major components? Where does the data originate and where does it end up? What are the security and business requirements? How will you determine its effectiveness?
Cursor can now manage a lot of backend work - creating routes, connecting services, writing tests, connecting components, and solving implementation details. However, this doesn't mean you should ignore backend considerations. You must still decide where the system should go, what it should carry, and who should have access. Your judgment remains vital.
Understand what you want to build, then let Cursor assist in building it. Remember, the future of development may involve less typing and manual coordination, but it will still require significant judgment.
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