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Scan AI Slop is a code quality tool designed to detect AI-generated coding patterns and maintainability issues that may pass linting and tests but still reduce code clarity or reliability. It scans source files for common AI slop patterns such as trivial comments, swallowed exceptions, generic naming, unsafe type assertions, dead code, and similar issues across multiple programming languages.
The app provides a quality-gate workflow for teams working with AI coding agents and pull requests. It can assign a score to code changes, block merges that fall below a defined threshold, and return actionable findings with file paths, line numbers, and rule-based guidance. It also supports local scanning, automated fixes for safe issues, and integration with GitHub workflows for consistent enforcement across repositories.
Scan AI Slop is built for engineering teams that want to standardize code quality rules across agent-generated code, monitor trends over time, and reduce low-value or hard-to-review code changes before they reach production.
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