As AI-generated code becomes more prevalent in software development, engineering teams are confronting a difficult question: who remains accountable when machine-produced code fails in production? The rising adoption of AI coding tools is forcing companies to rethink code review, human oversight, and governance, with software offering an early test of accountability in AI-enabled work.
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