Aegis

Aegis is an AI coding method pack that forces agents to verify changes against project baselines and evidence, reducing reworks and increasing safety.

Aegis is a method pack that helps AI coding agents operate like disciplined engineers by verifying changes against project baselines before implementation. It guides agents to align with project contracts, ownership rules, and boundaries to avoid unauthorized changes or blind execution. Upon completion, the agent provides verification evidence rather than simple claims of success, which allows users to review work based on facts. The system manages technical debt by tracking retired code paths and applies governance rules for UI/UX tasks. Users can trigger specific behaviors like strict TDD or first-principles reviews via natural language prompts to control task complexity and risk. This system integrates with multiple AI coding hosts, including Codex, OpenCode, and Claude Code.

Aegis at a glance

Best for: Software engineer
Runs on: Windows, Codex, OpenCode, Claude Code, JetBrains IDEA, CLI
Pricing: The Autoloom desktop client is free, while model usage is billed separately by the selected provider.
Released: April 2026
Category: AI coding tool
Website: github.com/GanyuanRan/Aegis

Key features

Baseline alignment against project contracts and boundaries
Verification evidence generation for task completion
Automated tracking of retired code paths
Adaptive workflow governance for simple versus complex tasks
UI/UX rule enforcement and governance
Natural language trigger support for TDD and reviews

Use it for

Verifying code changes against project contracts before execution
Removing retired or dead code paths to prevent technical debt
Generating evidence-based proof of task completion
Applying project-specific UI/UX design rules

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