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A significant disconnect exists between software engineers and engineering leaders, affecting productivity, standards compliance, and data trust. Key issues include tool sprawl, unclear standards, and AI adoption challenges. To bridge this gap, organizations can implement feedback loops, define clear standards, create AI best practices, increase data transparency, and improve measurement of new tools' impact.

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