Wix Engineering

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.

Why I Stop Prompting and Start Logging: The Design-Log Methodology

The Methodology in Action: Adding Server Actions

This is the missing structure in most AI workflows. Forcing design → questions → agreement → implementation removes 90% of the chaos. Context stability is everything.

this actually fixes the main ai issue: context decay. once design decisions live in git instead of chat memory, the ai stops guessing and starts following. turning ai from “prompt responder” into a real architecture collaborator is the key shift here.

This chap appears to have 6 fingers on right hand. Assuming it’s the same for his left one, I think it’s safe to assume that he’s a 12x developer.

This sounds like architecture decision records, with extra steps.

Yeah, me too — I do the same. When complexity requires it, I add two extra layers and iterate in a loop, continuously improving the context.
I meta-plan the planning itself.
Meta-plan → principal plan → implementation → AI validation + my approval.
During validation, the AI proposes corrections; I refine or correct them before moving on.
Any failure feeds back into the design context, and the cycle restarts. At that point, prompting becomes the least important part.