If Cursor rules aren't working, you're not alone. You wrote .cursor/rules (or a legacy .cursorrules file) telling the agent to use named exports, Zod validation, and your error-handling pattern — and the agent still generates default exports and skips validation.
This usually means one of three things:
- The rules file is in the wrong place or format
- The rules are too vague for the model to prioritize
- The conventions you wrote don't match what your team actually enforces in PR review
Cursor rules are static instructions you maintain by hand. They don't learn from your PR history unless you rebuild them constantly.
Symptom: Cursor ignores your rules
This is the most common complaint from teams adopting AI coding tools. The agent has strong defaults; your rules compete with open files, chat history, and generic model behavior.
Cause 1: Wrong file location or format
Cursor has moved from a single .cursorrules file to the .cursor/rules/ directory with individual rule files. If your rules live in the old location, newer Cursor versions may not load them consistently.
Fix: Check Cursor's docs for your version and migrate to the current rules directory structure.
Cause 2: Rules compete with everything else
Vague rules like "write clean code" lose against strong defaults. Specific, evidence-backed rules work better — but writing them for every convention your team enforces takes hours and drifts out of date.
I wrote more about this dynamic in analyzes review comments and code patterns, ranks each convention by confidence, and writes structured intelligence to .codehabits/ plus an .)
When hand-written rules still make sense
Project-specific one-offs (a migration in progress, a temporary API freeze) belong in explicit rules. Team-wide conventions that repeat in every PR belong in intelligence extracted from evidence.
Use both: keep short-lived rules in .cursor/rules/ and let automated extraction own the long-lived patterns.
Next steps
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