Your Test Suite Now Mostly Proves the AI Agrees With Itself
The article discusses the challenges of ensuring that AI-generated code aligns with its specifications and tests. It highlights the issue of tests passing due to the AI's self-consistency rather than actual correctness. The author emphasizes the need for independent verification of requirements, code, and tests to maintain software quality.
- ▪AI-generated code can pass tests without actually meeting the original specifications.
- ▪The traditional separation of requirements, code, and tests has been compromised in the AI coding era.
- ▪DQA offers a solution by independently verifying that requirements, code, and tests align.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3920478) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Hung Nguyen Van for DQA AI Solutions Posted on May 30 Your Test Suite Now Mostly Proves the AI Agrees With Itself #ai #coding #softwareengineering #testing Picture a renewal call. The client is happy with the work. Then they ask one fair question. "This feature here. Show me the requirement it came from, and the test that proves it does what we asked." You know the suite is green. You know coverage is high. And you realize you can't actually answer. Not quickly, not with evidence.
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