You are using Cursor AI incorrectly

Geoffrey Huntley discusses the common misconceptions and misuses of Cursor AI among software engineers. He emphasizes that many users treat Cursor as a simple search engine or IDE, rather than leveraging its capabilities as an autonomous agent. Key issues include under-specifying prompts, using low-level requests, and misunderstanding the potential of Cursor Rules. Huntley suggests that users should build a "standard library" of prompting rules to enhance their interactions with Cursor. He provides examples of how to create WordPress plugins using Guzzle and emphasizes the importance of adhering to coding standards. Additionally, he highlights the need for users to actively engage with Cursor by asking it to write and update rules based on their learnings. By doing so, users can improve the accuracy of the AI's responses and automate various tasks, such as adding license headers and committing changes to source control. Huntley concludes that a well-structured approach to using Cursor can lead to more successful outcomes in software development.

- Many engineers misuse Cursor by treating it like a search engine or IDE.

- Building a "standard library" of prompting rules can enhance interactions with Cursor.

- Users should actively engage with Cursor to improve its accuracy and functionality.

- Automating tasks like adding license headers and committing changes can streamline development.

- Understanding and utilizing Cursor Rules is crucial for maximizing its potential.