New CLI Tool Uses AI Embeddings to Catch Subtle Code Duplication

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A new command-line tool has been developed to detect semantic code duplication in software projects, going beyond what traditional syntax-based tools can identify. It leverages pre-trained machine learning embedding models such as CodeBERT and StarCoder to compare code by logical intent rather than surface structure. The tool can be installed via npm or GitHub CLI on macOS, Linux, and Windows, and integrates into CI/CD pipelines to flag duplicate code on pull requests. Users can customize similarity thresholds and generate JSON or HTML reports with similarity scores and consolidation suggestions. While the tool offers a significant advancement in code quality management, the developers acknowledge challenges including computational overhead, potential false positives, and the need for manual review in complex cases.

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ProgrammingDEV Community ·

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