New tool CodeRadar aims to identify syntactically correct but functionally broken AI-generated code that passes standard linters

CodeRadar addresses a gap in code quality checking by detecting AI-generated code that is linter-compliant but non-functional

The tool targets a specific problem where AI code passes traditional static analysis tools while containing logical errors

Project is hosted on GitHub under LowerJacksonMound/CodeRadar for community access and development

Addresses growing concern about AI code generation quality as developers increasingly rely on AI coding assistants