AI coding agents are remarkably good at producing designs that look complete and convincing. The harder question, especially in complex engineering work, is whether those designs will survive contact with the real world. Working on Jay (our new Jay web framework designed to help AI agents build production-ready websites), we use a strict design log methodology to catch exactly these problems: every significant feature is designed in writing, reviewed, and refined before imple

Every developer building with AI agents eventually hits the same wall. You write a masterpiece of a system prompt, loaded with rules, edge cases, and brand guidelines. It works perfectly... until you add one more rule. Suddenly, the agent gets "context fatigue," ignores half your instructions, and hallucinates a creative but entirely broken solution. We need to stop trying to make agents perfect on the first try. Instead, we suggest a new architectural approach: organizing ag