Cursor for Large Projects
Blog post from Stream
Cursor and Claude are powerful AI tools not just for prototyping but for efficiently managing large software projects by structuring, standardizing, refactoring, and maintaining code, enabling development speeds 5-30 times faster. The workflow involves a systematic edit and test loop where AI is used to generate code, write tests, and execute those tests to identify and correct errors, ensuring higher quality outputs. Effective use of these tools requires setting up documentation for common tasks, enabling features like Yolo mode for automated testing, and integrating project files to guide AI in task execution. Key strategies include using Git for version control, maintaining clean and standardized code, and employing Cursor for complex refactoring, documentation, and as a search engine to understand challenging code segments. This approach allows engineers to focus on complex problems while automating routine tasks, with an emphasis on continuous improvement and collaboration to further enhance productivity and code quality.