DOX: Self-documenting layer for coding agents (github.com)

DOX is an innovative framework designed for AI agents that enables them to better understand and navigate project documentation. By maintaining a hierarchy of AGENTS.md files, DOX ensures that agents have precise project context at their fingertips. The structure involves a root AGENTS.md file for overarching instructions along with child files that contain localized guidance for various project areas. This systematic approach allows the agent to traverse the documentation tree before making edits, ensuring changes are informed and relevant, thereby reducing errors and ambiguity in code modifications. The significance of DOX for the AI/ML community lies in its potential to enhance the reliability and efficiency of AI-assisted coding. By minimizing the chances of unintended edits and maintaining up-to-date documentation, it effectively bridges the gap between human developers and AI agents. DOX is lightweight and requires no installation or dependencies, making it accessible for any AI agent that utilizes AGENTS.md files. As such, it represents a straightforward yet powerful tool for improving code quality and developer productivity across various AI platforms, including Codex and Claude Code.