The Design-Log Methodology addresses the "Context Wall" problem in AI-assisted coding by maintaining version-controlled markdown documents that capture design decisions before implementation. Instead of repeatedly explaining architecture to AI, developers create immutable design logs in a ./design-log/ folder that document problems, questions, answers, and implementation plans. The AI reads these logs first, asks clarifying questions in the document, and only codes after design approval. This approach transforms AI from a code generator into an architectural partner, enabling simple prompts, preventing context drift, and creating traceable implementation history.
Table of contents
What is a Design Log?The Methodology in Action: Adding Server ActionsThe Secret Sauce: Why This WorksThe Rules of the GameWant to try it?Conclusion11 Comments
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