Our senior eng team has found that gen AI tools like GPT and Claude haven't significantly reduced the time required to develop features in our system. We're having open/good faith talks with product and exec teams about the reasons behind this and would love insights on how to effectively explain the limitations and nuances of using gen AI in engineering.
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