#325 · Primary category: AI Coding Assistants

Aegis

agent-skills ai-agents ai-coding architecture-driven-development awsome-coding-plugin baseline-first claude-code codex coding-agents dive dsh-plugin evidence-driven first-principles opencode software-architecture spec-driven-development spec-kit

Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.

Project last updated:08/29/26

GitHub Stars

1.1K

Forks

51

Contributors

3

License

MIT

Why we included this project

Aegis is a method pack rather than a standalone agent: you drop its rules, prompts, and install scripts into an existing coding-agent host like Codex, Claude Code, or OpenCode. It adds a workflow discipline that makes the agent plan against the project's actual baseline before it edits, and it refuses to report anything as done without fresh evidence. Across long tasks it also checks for drift against the agreed design. That is the failure mode most teams hit when they let agents loose on real, long-lived codebases: the agent drifts from the intended architecture and confidently refactors against the grain of the project. If you have seen that, Aegis gives you a concrete protocol to constrain the agent and cut down on rework.

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