Your coding agent knows your codebase. It knows nothing about your users.

AI agents possess deep codebase knowledge but lack access to user demand signals, forcing developers to manually bridge the gap between feedback boards and prompts. Additionally, a critical failure exists where agents correctly identify stored preferences, such as commit styles, yet fail to apply them during actual tasks. This discrepancy between knowing a rule and executing it, combined with the lack of external user context, highlights significant limitations in current agent memory and integration.