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Automated Vulnerability Injection in Smart Contracts Using Large Language Models

Assessing vulnerability detection tools for smart contracts requires datasets with known ground truth, yet such datasets are scarce and difficult to build by hand. We propose an approach that uses Large Language Models (LLMs) to automatically inject vulnerabilities into Solidity smart contracts, and demonstrate it in a case study targeting 49 vulnerability types from OpenSCV. Injected contracts…

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A Minimal-Context Take-Home Test for AI Code Reviewers: When More History Hurts

Recent discussions about AI assistants that trust every archived comment raise a practical question for engineering teams: does an AI code reviewer become more accurate when given the full repository…

  • Excessive repository history can lead to inaccurate AI code reviewer feedback
  • Three context configurations tested: full history, diff only, diff + specific comment
  • Human reviewer scored perfect 20/20 on take-home task under optimal conditions

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