We Trust Third Party Code, It’s Time to Trust AI Generated Code
The article discusses the need to treat AI-generated code similarly to third-party code, emphasizing the importance of trust frameworks. It argues that just as we trust open-source libraries without reviewing every line, we should extend that trust to AI-generated code. The author explores the foundational agreements that underpin this trust and suggests that a similar framework is necessary for AI-generated code to gain acceptance.
- ▪AI-generated code should be treated like third-party code, similar to open-source libraries.
- ▪Trust in open-source comes from foundational agreements, not just tools.
- ▪The author proposes developing a trust stack for AI-generated code based on existing open-source principles.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 139634) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Sagiv ben giat Posted on May 25 • Originally published at debuggr.io We Trust Third Party Code, It’s Time to Trust AI Generated Code #programming #ai #opensource #softwareengineering AI-generated code should be treated as third-party code. Same mental model we already use for libraries and dependencies. We don't review every line of lodash, fastapi, or chi. We shouldn't expect to review every line of AI-generated code either. I argued this in my previous post.
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