Cursor's Debug Mode Enforces Good Debugging Practices
The article discusses how Cursor's debug mode improves the debugging process by enforcing best practices, such as generating hypotheses, adding instrumentation, and iterating until the fix is proven, rather than just relying on AI to guess the solution.
Why it matters
Cursor's debug mode demonstrates how AI-powered tools can enforce good debugging practices, leading to more efficient and effective problem-solving.
Key Points
- 1Cursor's debug mode sets up instrumentation, captures logs, and iterates until the fix is proven
- 2The process enforced by the debug mode is more valuable than the AI itself
- 3The debug mode follows good debugging practices like hypotheses before fixes, instrumentation to capture evidence, and verification of the fix
- 4The article highlights how the debug mode makes these best practices the default, rather than something developers have to consciously follow
Details
The article discusses how Cursor's debug mode works differently from traditional AI-assisted debugging, which often involves simply copying logs into a chat and having the AI guess the solution. Cursor's debug mode, on the other hand, sets up instrumentation, captures logs, and iterates until the fix is proven. The interesting part is not the AI itself, but the process it enforces. The article describes a specific bug related to pagination on an external API integration, where the code looked correct but every request returned the same first page. Instead of jumping to a fix, Cursor's debug mode generated hypotheses, added instrumentation to test each one, and asked the user to reproduce the bug. This process of iterating through hypotheses, adding instrumentation, and verifying the fix is what the article highlights as the key value of Cursor's debug mode. It enforces good debugging practices that developers should already be following, such as hypotheses before fixes, documentation checks, and proof of the fix through actual runtime data.
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