pyveneer is a static analysis tool and linter for Python that specifically targets failure modes frequently found in AI-generated code. It uses AST parsing to detect issues related to code quality, security, and supply-chain risks such as slopsquatting. Useful for developers integrating AI coding assistants into their workflows.
pyveneer sits in PulseGate's Code review & quality category. It focuses on detecting common failure modes, security issues, and quality problems in Python code generated by AI tools. pyveneer is an open-source project aimed at developers. The project is open source (MIT). It ships for the command line.
Behind pyveneer is Dante-Berth, and it first shipped in 2026. The project is developed in the open on GitHub with 24 commits in the last 90 days. Among its 4 catalogued features are Static Analysis, AI Code Linting, and AST Parsing.
Summary written by a language model from the project’s public pages.
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