AI Coding Quality Guardian

Developers using AI to write code often receive buggy or low-quality output. The AI lacks a feedback loop to fix its own errors, forcing developers into tedious manual review and debugging, which cancels out the productivity benefits.

A development tool that creates an automated quality feedback loop for AI assistants. It runs a project's linters, compilers, and tests on generated code, using the errors to self-correct and deliver clean, validated code that adheres to project standards.