Estimated reading time: 4 minutes
Generative AI has the potential to automate 70% of the work done by software engineers. However, the remaining 30% of the development lifecycle is critical.
It requires aligning software with organizational best practices, security standards, and long-term maintainability. This gap raises a pivotal question for engineering leaders: Can AI-generated code truly replace human engineering expertise, or does it introduce new maintenance burdens that slow us down?
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