Cursor Known Pitfalls

Overview

Use these pitfalls as preflight checks for AI-assisted work: context leakage, over-broad edits, stale rules, unsupported assumptions, and misplaced trust in generated output.

Prerequisites

• Project rules, data classification, and a normal review/test path for the work.
• A non-sensitive reproduction or sample when evaluating a Cursor behavior.

Instructions

1. Identify the relevant pitfall before accepting a suggestion or changing configuration.
2. Narrow context and task scope, then verify the resulting diff and tests.
3. Record recurring failures in reviewed rules or team guidance rather than relying on memory.

Output

• A documented prevention or remediation action tied to a specific Cursor failure mode.