GanyuanRan/Aegis
A method pack that helps AI coding agents maintain software architecture awareness, verify evidence, and detect drift during long tasks.

Aegis is a framework designed to make AI coding agents more reliable by enforcing architecture-first development. It provides baselines for comparison, evidence verification to validate code changes, and drift detection to catch when agents deviate from intended architecture patterns during extended coding tasks. The system aims to improve safety and consistency for AI coding assistants like Claude Code and Codex across complex, multi-step development workflows.