How CLAUDE.md Misconfiguration Undermines AI Coding Efficiency

CLAUDE.md is critical for AI coding assistants like Claude Code and Cursor, but common configuration mistakes waste context tokens before they reach actual code analysis. By adopting a modular structure with file-scoped rules and domain-specific rule files, developers can reduce token consumption by approximately 40% while ensuring AI rules fire at the right time. This approach also improves team onboarding and prevents the frustration of AI tools ignoring defined coding patterns.