Developer Shares Key Lessons From a Year of AI-Assisted Coding With Cursor

A developer who used the Cursor AI coding tool extensively over the past year, including a 62-day continuous usage streak, has shared practical insights on working effectively with AI coding assistants. The author reports genuine productivity gains but cautions that speed should not come at the expense of code quality, structure, or readability. Key recommendations include thoroughly understanding existing code before making changes, planning features in detail upfront, and verifying that the AI has correctly interpreted your prompts before proceeding. The developer also highlights a recurring issue where AI tends to over-normalize code and prioritize reaching a goal quickly rather than finding the most efficient or reusable solution. The overall takeaway is that AI coding tools are powerful but require deliberate, informed use to avoid technical debt and loss of code comprehension.