Static Rules Can't Adapt: Why Markdown Memory Fails Growing Projects

While Markdown-based memory for AI agents promises simplicity, it silently fails as projects grow—rules become stale, and developers lack the discipline to maintain them coherently. This creates 'context rot,' where the AI confidently suggests patterns you abandoned weeks ago, wasting hours debugging obsolete advice. Effective AI coding requires dynamic, adaptive memory systems, not static text files that inevitably become liabilities.