Use AI to Navigate Your Codebase, Not to Write It for You

A developer writing on DEV Community argues that using AI tools like Cursor to auto-generate large blocks of code often creates more problems than it solves, as the output can introduce hallucinated methods, wrong libraries, and missed edge cases. The author shifted from prompting AI to write features to using it as a fast search tool — asking it questions like where specific logic lives in the codebase. When AI-generated snippets are used, the author recommends reviewing them as if written by a confident but unreliable junior developer, checking imports, data flow, and invented methods. Precise, constraint-driven prompts — such as specifying that no new dependencies should be added — were found to produce far more useful and project-appropriate results. The core argument is that AI coding tools are most valuable as navigation and context aids, not as replacements for a developer's own architectural thinking and implementation.