Curated by
Gabriel Amorim
Always curious, always collecting. I save the things that catch my eye and come back to them when I need a spark. Big fan of long walks, longer reads, and the occasional rabbit hole
stacklist.com/gabriel-amorim
Always curious, always collecting. I save the things that catch my eye and come back to them when I need a spark. Big fan of long walks, longer reads, and the occasional rabbit hole
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AI Failure Explanations Proposal
A proposal outlines adding AI-assisted failure explanations to a nightly CI suite using Anthropic's API to automatically classify failed tests as real bugs or flaky, saving developer time from manual stack trace analysis. This system, already built and tested, is highly cost-effective with typical usage under $1 per month, includes safety measures like a hard spend cap, and ensures data privacy.