3 things to learn from Cursor's popularity.

Three patterns you can learn from Cursor's popularity to help you think about which AI apps will win.
1. They brought the LLM closer to where the user already works and closer to their data (the codebase, which is used as context).
2. There's a validity-check: does your code run (or tests pass)? If not add the stack trace back into the chat, and the LLM fixes it. This combats hallucinations.
3. There's a human in the loop. Automation usecases are underpeforming. Augmentation use cases are going great.