Just shipped framework detection in cursor-lint — auto-detects your stack and suggests matching rule presets. Different rules for different setups. github.com/nedcodes-ok...
Senior Software Engineer & Product Designer | C#/.NET Specialist | AI Tutor @EBAC Bridging the gap between robust backend architecture and intentional UX. Founder of @klotarstudio. I write about why p
Curated lint rules are helpful, but Cursor's real bottleneck isn't linting—it's context window management. How do you handle false positives when the AI misinterprets your ruleset mid-refactor?
This was something I was concerned about myself; I just finished a test where I loaded 50 rules at once and ran the same refactor 18 times.
Surprisingly, it hit 100% compliance even with 50 rules loaded. The "misinterpretation" usually happens when rules lack alwaysApply: true or have vague instructions, rather than the model forgetting them.
Top comments (5)
Nice project!
Thanks Ben! Means a lot coming from you.
Curated lint rules are helpful, but Cursor's real bottleneck isn't linting—it's context window management. How do you handle false positives when the AI misinterprets your ruleset mid-refactor?
This was something I was concerned about myself; I just finished a test where I loaded 50 rules at once and ran the same refactor 18 times.
Surprisingly, it hit 100% compliance even with 50 rules loaded. The "misinterpretation" usually happens when rules lack
alwaysApply: trueor have vague instructions, rather than the model forgetting them.I just wrote up the full data here if you're curious: dev.to/nedcodes/i-loaded-50-rules-...
This perfectly captures what most people get wrong about the topic.
This hits different ✨ Keep building! 💪