Summary
Software teams are increasingly learning to trust AI in development by treating AI-generated code with the same or stricter scrutiny as human-written code, according to research and industry insights. This pragmatic approach, focusing on low-stakes tasks and rigorous checks, allows teams to leverage AI's amplifying effects while maintaining quality and managing risk, especially in earlier stages of the software lifecycle.
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