I kept seeing the same dumb mistakes in AI-generated code, so I built a local tool to catch them
A developer created a local tool called DriftCode Auditor to identify common mistakes in AI-generated code. The tool aims to catch issues like privacy risks and maintainability problems that often go unnoticed during rapid development. It is designed to complement, not replace, traditional code reviews by providing a quick safety net for obvious errors.
- ▪DriftCode Auditor is a local CLI tool that runs on your machine without sending any code elsewhere.
- ▪The tool focuses on identifying privacy risks, maintainability issues, and basic architecture smells in AI-generated code.
- ▪The developer is currently testing the tool with real users to gather feedback and improve its functionality.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3943091) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Drift Zef Posted on May 21 I kept seeing the same dumb mistakes in AI-generated code, so I built a local tool to catch them #ai #python #showdev #tooling I've been using AI coding tools pretty heavily lately — mostly GROK fast code and some sonnet and haiku. The speed is incredible, and It's been fun to learn, but I started noticing the same patterns of mistakes showing up in the code. Not huge architectural disasters.
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