Stop Reviewing Every Line of AI Code - Build the Trust Stack Instead
The article discusses the need to build a trust framework for AI-generated code similar to that of open-source code. It argues that AI-generated code should be treated as third-party code and not reviewed line by line. The author emphasizes the importance of establishing foundational agreements to foster trust in AI-generated code.
- ▪AI-generated code should be treated like third-party libraries, without the need for line-by-line reviews.
- ▪Trust in open-source code comes from a stack of agreements, including versioning and authorship.
- ▪The author suggests that a similar trust stack needs to be developed for AI-generated code to ensure reliability.
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 22 • Originally published at debuggr.io Stop Reviewing Every Line of AI Code - Build the Trust Stack Instead #ai #codereview #productivity #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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