Problems encountered when developing large-scale projects using Claude Code: - Context limitations: AI cannot read the entire code at once - Guess-based coding: Generating incorrect code due to a lack of understanding of the codebase - Lack of consistency: Writing code that deviates from existing patterns This recipe solves these problems through an iterative cycle of "Documentation ↔ Implementation." ⭐️ Key Summary: Documentation is AI's long-term memory. By repeating the Documentation ↔ Implementation cycle, the AI properly understands the codebase and generates consistent code.

Problems encountered when developing large-scale projects using Claude Code: - Context limitations: AI cannot read the entire code at once - Guess-based coding: Generating incorrect code due to a lack of understanding of the codebase - Lack of consistency: Writing code that deviates from existing patterns This recipe solves these problems through an iterative cycle of "Documentation ↔ Implementation." ⭐️ Key Summary: Documentation is AI's long-term memory. By repeating the Documentation ↔ Implementation cycle, the AI properly understands the codebase and generates consistent code.