As AI coding agents become more sophisticated, managing context effectively is critical for consistent and accurate code generation. This post introduces a layered context framework: Codex Memory for persistent project knowledge, AGENTS.md files for agent-specific instructions, and Skills for reusable capabilities. By separating these layers, developers can reduce context confusion and improve agent reliability. The approach is particularly useful for teams building custom coding assistants or integrating AI into their development workflows. It offers a clear, actionable structure that can be adapted to various LLM platforms.
A structured approach to managing context in AI coding agents using Codex Memory, AGENTS.md, and Skills.