Show HN: AgentGuard – a QA engine that sits between AI coding agents and LLMs (github.com)

AI coding agents are great at generating code, but terrible at respecting architecture. We kept getting code that looked correct but didn’t type-check, had hallucinated imports, or ignored project boundaries.

AgentGuard is an open-source quality-assurance engine that sits between an AI coding agent and the LLM. It enforces a top-down generation pipeline:

Skeleton → Contracts → Wiring → Logic

Each stage constrains the next, and we validate syntax, imports, linting and types before any human sees the code. The LLM also self-reviews its output against explicit criteria.

AgentGuard supports MCP (Claude Desktop, Cursor, Windsurf, Cline) and tracks token cost per model and run.

Python 3.11+, MIT licensed.