At Symbiotic Security, we tested how well our AI engine can remediate insecure code through large-scale experiments. Using an LLM-as-a-Judge framework, we evaluated fixes across six dimensions of quality, from functionality to security completeness. Benchmarks on 190 projects in 7 languages with 5 judge models showed GPT-4.1 as the most consistent and highlighted the power of context engineering. The result: a trusted, measurable path to more reliable AI-powered remediation.