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  "text": "RT @pvergadia: 🤯BREAKING: Alibaba just proved that AI Coding isn't taking your job, it's just writing the legacy code that will keep you em…",
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    "text": "🤯BREAKING: Alibaba just proved that AI Coding isn't taking your job, it's just writing the legacy code that will keep you employed fixing it for the next decade. 🤣\n\nPassing a coding test once is easy. Maintaining that code for 8 months without it exploding? Apparently, it’s nearly impossible for AI.\n\nAlibaba tested 18 AI agents on 100 real codebases over 233-day cycles. They didn't just look for \"quick fixes\"—they looked for long-term survival.\n\nThe results were a bloodbath:\n\n75% of models broke previously working code during maintenance.\n\nOnly Claude Opus 4.5/4.6 maintained a >50% zero-regression rate.\n\nEvery other model accumulated technical debt that compounded until the codebase collapsed.\n\nWe’ve been using \"snapshot\" benchmarks like HumanEval that only ask \"Does it work right now?\"\n\nThe new SWE-CI benchmark asks: \"Does it still work after 8 months of evolution?\"\n\nMost AI agents are \"Quick-Fix Artists.\" They write brittle code that passes tests today but becomes a maintenance nightmare tomorrow. They aren't building software; they're building a house of cards.\n\nThe narrative just got honest: Most models can write code. Almost none can maintain it.",
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