GanyuanRan/Aegis

Aegis is a method pack for AI coding agents that aims to deliver more reliable outcomes for AI-assisted software development. It enforces discipline on AI agents to reduce reworks, keep code changes safe, and require verifiable proof of completion before a task is marked done. The method pack works across multiple popular AI coding agent hosts including Codex, Claude Code, OpenCode, Kimi, and can be integrated with DSH as well. To install Aegis, users just follow the skill installation steps for their specific host agent, since the pack is built to be host-aware and adapts to each platform’s path conventions.

The core workflow of Aegis requires AI agents to align with the project’s existing baseline before making any code changes. This means agents will clarify module ownership, interface contracts, and code boundaries to avoid guesswork that leads to unnecessary, time-consuming reworks. After completing changes, agents must provide fresh verification evidence, covered scope, and residual risk notes instead of just claiming the task is done. This method pack is ideal for users working on medium to large software projects who want to standardize their AI agent’s workflow and reduce the risk of hidden technical debt accumulation.

Aegis is released under the permissive MIT open source license, so users can use, modify, and redistribute it freely without any licensing cost. It does not require any third-party dependencies to run, as it relies entirely on the host AI coding agent to provide the full runtime environment. Public benchmark testing conducted by the project author shows that after adopting Aegis, contract pass rate rose from 61.67% to 93.33%, and unsafe outcomes dropped from 13.33% to 0%, delivering clear improvements in overall agent reliability. To update an existing installation, users can run the built-in aegis:update command through their host agent.