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Show HN: Open-source Deterministic Guardrails Against AI Duplicated Code

DupeHound is an open-source tool that uses deterministic guardrails to detect and prevent duplicated code generated by AI, helping maintain code quality and consistency in development workflows.

Background

- **DupeHound** is an open-source tool that detects duplicated code (copy-paste clones) in codebases, designed as a "guardrail" for AI-generated code — it flags code that an AI assistant might have produced by copying verbatim from existing sources, reducing technical debt and license-compliance risks. - **The problem it addresses**: AI coding assistants (like GitHub Copilot, Cursor, etc.) often generate blocks of code that are near-identical to existing open-source snippets, which can introduce bugs (duplicated code that must be maintained in multiple places) and legal issues (if the original snippet has a restrictive license). - **Deterministic** means the tool's results are reproducible and based on exact matching rules, unlike probabilistic AI-based detectors. This matters for CI/CD pipelines that need reliable pass/fail signals. - **Open-source** (on GitHub under MIT license) means anyone can inspect, modify, or self-host the tool without vendor lock-in.