How to Master Cursor for Rapid Development

Iterating on lints helps you find and fix errors quickly, avoiding a large backlog of errors that can be overwhelming to address all at once.

Web search tools allow Cursor to reach out to the web for additional context when it doesn't understand something, enhancing its problem-solving capabilities.

Uploading your own documents allows Cursor to use them as additional context during prompts, which can provide more accurate and relevant responses.

Project-level rules are specific guidelines that apply to a particular project, instructing Cursor on how to handle files and prompts within that project.

YOLO mode allows Cursor to execute commands rapidly during prototyping but should be turned off for enterprise products to prevent unintended actions.

As AI models and your workflow evolve, you can revise your rules and instructions in Cursor to improve accuracy and adapt to changes.

A PRD provides a structured base of context for AI to work with, facilitating better project planning and implementation.

Debug logs provide an AI agent with detailed information about the application's operation and issues, aiding in effective troubleshooting.

Indexing allows Cursor to find files and understand file relationships, improving its ability to provide contextually relevant prompt suggestions.

Enabling large context allows Cursor to absorb larger files and multiple files in your prompt window, but it uses more requests, requiring mindfulness of your plan and request limits.