Why I built an AI repair loop that stops after one fix on purpose
The article discusses the author's experience with AI coding agents that, while capable of fixing bugs, can inadvertently introduce new issues. To address this, the author created AutoMaxFix, which limits the AI to one fix at a time to ensure better oversight and reliability. This approach prioritizes safety over speed, contrasting with the trend towards more autonomous AI coding tools.
- ▪The author observed that AI coding agents often make successful patches that inadvertently break unrelated code.
- ▪AutoMaxFix is designed to stop after one fix, requiring manual approval before applying changes.
- ▪The author argues that increasing autonomy in AI coding tools can lead to compounded errors and undetected bugs.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3958748) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Noumenon AI Posted on May 29 Why I built an AI repair loop that stops after one fix on purpose #ai #opensource #devops #productivity A few weeks ago I watched my AI coding agent successfully fix a bug. The tests passed. The patch looked clean. The agent reported success. I shipped it. Three hours later I noticed the agent had also "improved" four unrelated files in the same session.
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