Developer builds context framework to improve AI coding agent reliability

A developer created a context framework for AI coding agents that forces models to write prompts for each other, reducing human error and agent drift. The system uses files like NEXT_ACTION.md and NEXT_PROMPT.md to maintain focus. It targets four failure modes: off-rails behavior, endless PRs, human bias, and rubber-stamp approvals.